113 Model Deployment jobs in Canada
Data Science
Microsoft Corporation
Posted 2 days ago
Job Viewed
Job Description
With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.
Within CE&S, the Customer Service & Support (CSS) organization builds trust and confidence for every person and organization through delivering a seamless support experience. In CSS, we are powered by Microsoft's AI technology to help consumers, businesses, partners, and more, resolve their issues quickly and securely, helping prevent future problems from occurring and achieving more from their Microsoft investment.
We are seeking a **Data Scientist** with deep expertise in statistical modeling and machine learning to advance our understanding of support case dynamics and operational efficiency. This role will focus on developing AI/ML algorithms to assess case complexity, model labor time within support workflows, and uncover insights that drive measurable improvements in throughput and resource utilization. The ideal candidate will bring a strong foundation in regression analysis, causal inference, and experimentation, contributing to a data science practice that is central to operational excellence and transformation across CSS.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
**Application of AI (AOAI) & Efficiency Measurement:**
+ Develop and implement causal inference models and statistical frameworks to quantify labor effort within support cases-including active engineer time, idle time, and wait time. Extend these models to evaluate the impact of AI-driven systems (e.g., AOAI agents) on case resolution efficiency, agentic throughput, and cost avoidance. Leverage telemetry, case metadata, and experimental design to isolate AI contributions and optimize support workflows.
**Productivity and Throughput Analytics** **:**
+ Build predictive models and dashboards to analyze throughput, case complexity, and routing efficiency. Apply statistical and machine learning techniques to surface process defects, blind transfers, and excessive case handoffs.
**Agentic** **& Autonomous System Evaluation:**
+ Collaborate with engineering and supportability teams to evaluate autonomous agent performance. Develop capacity models and performance metrics to assess agentic build-out efficiency and ROI.
+ Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time. Influences stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.
**Business Understanding and Impact:**
+ Understands problems facing projects and is able to leverage knowledge of data science to be able to uncover important factors that can influence outcomes on specific products. Describes the primary objectives of the team from a business perspective. Produces a project plan to specify necessary steps required for completion. Assesses current situation for resources, risks, contingencies, requirements, assumptions, and constraints. Coaches less experienced engineers in standards and best practices. Understanding of organizational dynamics, interrelationships among teams, schedule constraints, and resource constraints to effectively influence partners to take action on insights. Understands business strategy briefings and articulates data driver strategies for specific industries or cross-industry functions, such as: Sales/Marketing, Operations, and new Data Monetization Schemes. Engages business stakeholders to capture and shape their thinking on data-driven methods applicable to their value chain. Leads customer conversations to understand, define, and solve business problems.
**Coding and Debugging:**
+ Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects. Understands the causes of common defects and uses best practices in preventing them from occurring. Collaborates with other teams and leverages best practices from those teams into work of their own team. Mentors and guides less experienced engineers in better understanding coding and debugging best practices. Builds professional-grade documents for knowledge transfer and deployment of predictive analytic models. Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development.
**Customer/Partner Orientation:**
+ Applies a customer-oriented focus by understanding customer needs and perspectives, validating customer perspectives, and focusing on broader customer organization/context. Promotes and ensures customer adoption by delivering model solutions and supporting relationships. Works with customers to overcome obstacles, develops tailored and practical solutions, and ensures proper execution. Builds trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data.
**Data Preparation and Understanding:**
+ Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers.
**Scientific Rigor in Modeling:**
+ Apply advanced statistical methods (e.g., logistic regression, time series analysis, survival modeling) to support hypothesis-driven experimentation and causal inference in operational workflows. Prioritize model interpretability and reproducibility.
+ Understands relationship between selected models and business objectives. Ensures clear linkage between selected models and desired business objectives. Assesses the degree to which models meet business objectives. Defines and designs feedback and evaluation methods. Coaches and mentors less experienced engineers as needed. Presents results and findings to senior customer stakeholders.
**Industry and Research Knowledge / Opportunity Identification:**
+ Uses business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities. Develops a better understanding of work being done on team, and the work of other teams to propose potential collaboration efforts. Coaches and provides support to teams to execute strategy. Leverages capabilities within existing systems. Shares knowledge of the industry through conferences, white papers, blog posts, etc. Researches and maintains deep knowledge of industry trends, technologies, and advances. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
**Modeling and Statistical Analysis:**
+ Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average (ARIMA), recurrent neutral networks (RNN), long short-term memory (LSTM) networks) to identify the best approach to complete objectives. Understands modeling techniques (e.g., dimensionality reduction, cross validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance.
+ Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc. Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Constructs hypotheses, designs controlled experiments, analyzes results using statistical tests, and communicates findings to business stakeholders. Effectively communicates with diverse audiences on data quality issues and initiatives. Understands operational considerations of model deployment, such as performance, scalability, monitoring, maintenance, integration into engineering production system, stability. Develops operational models that run at scale through partnership with data engineering teams. Coaches less experienced engineers on data analysis and modeling best practices. Develops a strong understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks). Breaks down complex statistics and machine learning topics into manageable topics to explain to customers. Helps the Solution Architect and provides guidance on model operationalization that is built into the project approach using existing technologies, products and solutions, as well as established patterns and practices.
**KPI and Metric Governance Support:**
+ Partner with business insights and governance teams to rationalize CSSmeasurement methodologies on core KPIs, prioritize high-impactmetrics, and support development for MBR and executive reviews
**Other:**
+ Embody our culture and values ( values)
**Qualifications**
**Required Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
**Preferred or additional Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
Data Science IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.
Find additional pay information here:
will accept applications for the role until Sept 4th, 2025.
#CES #CSS
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Within CE&S, the Customer Service & Support (CSS) organization builds trust and confidence for every person and organization through delivering a seamless support experience. In CSS, we are powered by Microsoft's AI technology to help consumers, businesses, partners, and more, resolve their issues quickly and securely, helping prevent future problems from occurring and achieving more from their Microsoft investment.
We are seeking a **Data Scientist** with deep expertise in statistical modeling and machine learning to advance our understanding of support case dynamics and operational efficiency. This role will focus on developing AI/ML algorithms to assess case complexity, model labor time within support workflows, and uncover insights that drive measurable improvements in throughput and resource utilization. The ideal candidate will bring a strong foundation in regression analysis, causal inference, and experimentation, contributing to a data science practice that is central to operational excellence and transformation across CSS.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
**Application of AI (AOAI) & Efficiency Measurement:**
+ Develop and implement causal inference models and statistical frameworks to quantify labor effort within support cases-including active engineer time, idle time, and wait time. Extend these models to evaluate the impact of AI-driven systems (e.g., AOAI agents) on case resolution efficiency, agentic throughput, and cost avoidance. Leverage telemetry, case metadata, and experimental design to isolate AI contributions and optimize support workflows.
**Productivity and Throughput Analytics** **:**
+ Build predictive models and dashboards to analyze throughput, case complexity, and routing efficiency. Apply statistical and machine learning techniques to surface process defects, blind transfers, and excessive case handoffs.
**Agentic** **& Autonomous System Evaluation:**
+ Collaborate with engineering and supportability teams to evaluate autonomous agent performance. Develop capacity models and performance metrics to assess agentic build-out efficiency and ROI.
+ Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time. Influences stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.
**Business Understanding and Impact:**
+ Understands problems facing projects and is able to leverage knowledge of data science to be able to uncover important factors that can influence outcomes on specific products. Describes the primary objectives of the team from a business perspective. Produces a project plan to specify necessary steps required for completion. Assesses current situation for resources, risks, contingencies, requirements, assumptions, and constraints. Coaches less experienced engineers in standards and best practices. Understanding of organizational dynamics, interrelationships among teams, schedule constraints, and resource constraints to effectively influence partners to take action on insights. Understands business strategy briefings and articulates data driver strategies for specific industries or cross-industry functions, such as: Sales/Marketing, Operations, and new Data Monetization Schemes. Engages business stakeholders to capture and shape their thinking on data-driven methods applicable to their value chain. Leads customer conversations to understand, define, and solve business problems.
**Coding and Debugging:**
+ Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects. Understands the causes of common defects and uses best practices in preventing them from occurring. Collaborates with other teams and leverages best practices from those teams into work of their own team. Mentors and guides less experienced engineers in better understanding coding and debugging best practices. Builds professional-grade documents for knowledge transfer and deployment of predictive analytic models. Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development.
**Customer/Partner Orientation:**
+ Applies a customer-oriented focus by understanding customer needs and perspectives, validating customer perspectives, and focusing on broader customer organization/context. Promotes and ensures customer adoption by delivering model solutions and supporting relationships. Works with customers to overcome obstacles, develops tailored and practical solutions, and ensures proper execution. Builds trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data.
**Data Preparation and Understanding:**
+ Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers.
**Scientific Rigor in Modeling:**
+ Apply advanced statistical methods (e.g., logistic regression, time series analysis, survival modeling) to support hypothesis-driven experimentation and causal inference in operational workflows. Prioritize model interpretability and reproducibility.
+ Understands relationship between selected models and business objectives. Ensures clear linkage between selected models and desired business objectives. Assesses the degree to which models meet business objectives. Defines and designs feedback and evaluation methods. Coaches and mentors less experienced engineers as needed. Presents results and findings to senior customer stakeholders.
**Industry and Research Knowledge / Opportunity Identification:**
+ Uses business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities. Develops a better understanding of work being done on team, and the work of other teams to propose potential collaboration efforts. Coaches and provides support to teams to execute strategy. Leverages capabilities within existing systems. Shares knowledge of the industry through conferences, white papers, blog posts, etc. Researches and maintains deep knowledge of industry trends, technologies, and advances. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
**Modeling and Statistical Analysis:**
+ Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average (ARIMA), recurrent neutral networks (RNN), long short-term memory (LSTM) networks) to identify the best approach to complete objectives. Understands modeling techniques (e.g., dimensionality reduction, cross validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance.
+ Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc. Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Constructs hypotheses, designs controlled experiments, analyzes results using statistical tests, and communicates findings to business stakeholders. Effectively communicates with diverse audiences on data quality issues and initiatives. Understands operational considerations of model deployment, such as performance, scalability, monitoring, maintenance, integration into engineering production system, stability. Develops operational models that run at scale through partnership with data engineering teams. Coaches less experienced engineers on data analysis and modeling best practices. Develops a strong understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks). Breaks down complex statistics and machine learning topics into manageable topics to explain to customers. Helps the Solution Architect and provides guidance on model operationalization that is built into the project approach using existing technologies, products and solutions, as well as established patterns and practices.
**KPI and Metric Governance Support:**
+ Partner with business insights and governance teams to rationalize CSSmeasurement methodologies on core KPIs, prioritize high-impactmetrics, and support development for MBR and executive reviews
**Other:**
+ Embody our culture and values ( values)
**Qualifications**
**Required Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
**Preferred or additional Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
Data Science IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.
Find additional pay information here:
will accept applications for the role until Sept 4th, 2025.
#CES #CSS
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
0
Data Science and Program Governance Analyst
Mississauga, Ontario
Citigroup
Posted 16 days ago
Job Viewed
Job Description
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
Citi's Mission and Value Proposition ( explain what we do and Strategy ( explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients' and the public's trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.
The Data Science and Project Governance Senior Analyst is a seasoned professional role adept in data mining, working with big data sets and program management. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
**Responsibilities:**
Data Science and analytics:
+ Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
+ Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
+ Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.
+ Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.
+ Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
+ Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
+ Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
+ Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impact
Project and Program Governance
+ Manages a large multi-faceted portfolio. Owns, with minimum supervision, project and teams goals leveraging expertise to inspire a sense of shared purpose within the team.
+ Organizes solutions to new challenges and drive business results. Uses best practice PMO methodology to create a project plan to fit the stakeholders/customers' needs and deliver within budget on desired outcomes.
+ Drives end results through management of portfolio deliverables ( milestones/ regulatory mandates/ organizational requirements) while meeting time sensitive deadlines.
+ Applies a proactive approach in routinely tracking the portfolio progress against project goals. Defines, teaches, and enforces the use of good project management practices such as techniques in resolving complex, interdependent activities into tasks and sub-tasks that are documented, monitored and controlled.
+ Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
+ Performs other duties and functions as assigned.
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Qualifications:**
+ 5+ years of experience in business and data analysis, process improvement and project management
+ Possesses knowledge of PPM tools ( Clarity/ fundamentals of Oracle people soft or any project tracking tool)
+ Proficient in MS Office applications, Excel, PPT, SharePoint, MS Project Stays abreast of current industry trends and new technology through professional associations, trade journals, networking, and associated training and seminars
+ Manage project scope by assessing requirements changes, determining and conveying impact on budget, time and risk.
+ Manage client expectations, anticipates operational and tactical risks and tracks them; clarify, identify, and track requirements and issues, remove barriers, resolve minor project issues and escalate to immediate manager where required.
+ Ability to effectively use complex analytical, interpretive and problem solving techniques.
+ Demonstrated interpersonal, verbal and written communication skills.
+ Experience using tools for statistical modeling of large data sets
+ PMP, CSM, Scrum or other relevant Project Management certifications are a plus.
**Education:**
+ Bachelor's/University degree or equivalent experience.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
---
**Job Family Group:**
Technology
---
**Job Family:**
Data Science
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Citi's Mission and Value Proposition ( explain what we do and Strategy ( explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients' and the public's trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.
The Data Science and Project Governance Senior Analyst is a seasoned professional role adept in data mining, working with big data sets and program management. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
**Responsibilities:**
Data Science and analytics:
+ Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
+ Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
+ Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.
+ Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.
+ Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
+ Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
+ Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
+ Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impact
Project and Program Governance
+ Manages a large multi-faceted portfolio. Owns, with minimum supervision, project and teams goals leveraging expertise to inspire a sense of shared purpose within the team.
+ Organizes solutions to new challenges and drive business results. Uses best practice PMO methodology to create a project plan to fit the stakeholders/customers' needs and deliver within budget on desired outcomes.
+ Drives end results through management of portfolio deliverables ( milestones/ regulatory mandates/ organizational requirements) while meeting time sensitive deadlines.
+ Applies a proactive approach in routinely tracking the portfolio progress against project goals. Defines, teaches, and enforces the use of good project management practices such as techniques in resolving complex, interdependent activities into tasks and sub-tasks that are documented, monitored and controlled.
+ Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
+ Performs other duties and functions as assigned.
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Qualifications:**
+ 5+ years of experience in business and data analysis, process improvement and project management
+ Possesses knowledge of PPM tools ( Clarity/ fundamentals of Oracle people soft or any project tracking tool)
+ Proficient in MS Office applications, Excel, PPT, SharePoint, MS Project Stays abreast of current industry trends and new technology through professional associations, trade journals, networking, and associated training and seminars
+ Manage project scope by assessing requirements changes, determining and conveying impact on budget, time and risk.
+ Manage client expectations, anticipates operational and tactical risks and tracks them; clarify, identify, and track requirements and issues, remove barriers, resolve minor project issues and escalate to immediate manager where required.
+ Ability to effectively use complex analytical, interpretive and problem solving techniques.
+ Demonstrated interpersonal, verbal and written communication skills.
+ Experience using tools for statistical modeling of large data sets
+ PMP, CSM, Scrum or other relevant Project Management certifications are a plus.
**Education:**
+ Bachelor's/University degree or equivalent experience.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
---
**Job Family Group:**
Technology
---
**Job Family:**
Data Science
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
This advertiser has chosen not to accept applicants from your region.
1
People Analytics & Insights - Data Science Lead - MISSISSAUGA
Mississauga, Ontario
Citigroup
Posted today
Job Viewed
Job Description
In the Global Assessments & People Analytics & Insights group at Citigroup, we solve business problems with workforce and business data. We conduct analyses to enable evidence-based decision making. We use statistical models to predict future outcomes. We provide actionable insights. Our mission is to equip decision makers with data-driven insights through analytics to make the best decisions about people - individuals, teams and organizations-to drive business performance.
**Data Science Lead will be responsible for:**
+ Collaborate with cross-functional teams, including data scientists, project managers, HR partners and business stakeholders, to understand data requirements and define data engineering solutions that support workforce planning goals.
+ Working with the HR technology team and various other partners to build and maintain the People Analytics and Insights database. This includes integrating multiple systems and data sources to build large and complex data sets and making them usable for analytics studies (e.g. transforming and cleaning data, working with incomplete data sources, etc.)
+ Lead and mentor a team of data scientists, data engineers and tableau developers.
+ Applying analytical/technical expertise to translate business problems into actionable solutions.
+ Develop and implement data models to support advanced analytics and machine learning applications related to workforce planning and optimization.
+ Leading execution and automation of analytical and reporting projects to ensure that the outputs fulfill client requirements and expectations.
+ Performing ETL tasks and data analyses (exploratory, confirmatory and/or qualitative), which include wide use of reporting frameworks and statistical models/ tests using Python, Tableau etc.
+ Effectively communicate findings, ideas, and concepts to non-technical stakeholders both internally and externally.
+ Staying abreast of current trends/research in data science research and technology
**The Ideal Candidate will have:**
+ Master's Degree/ Bachelor's degree preferably in Statistics, Economics, Mathematics / B.tech in Computer science, IT
+ Extensive experience in:
+ Advanced SQL (or similar language for querying relational databases)
+ Advanced Python programming skills
+ Experience using platforms such as Oracle, Google Cloud, Snowflake, Airflow etc.
+ Experience with Big Data tools: Hadoop, Spark, Kafka
+ Tableau and other data visualization tools
+ Demonstrated ability to lead projects to timely delivery
+ Strong analytical skills related to working with unstructured datasets
+ Experience managing and working with large databases, data management, including understanding of various data structures and common methods in data transformation, data validation and audit
+ Demonstrated strong collaboration skills-Analytics & Insights is a team sport.
+ Ability to manage and work with structured and unstructured data with accuracy
+ Ability to multitask and manage multiple research/analytics projects at the same time
+ Demonstrated strong attention to detail, problem-solving, and critical thinking
+ Business and HR acumen is preferred
+ Adaptive to matrix work environment
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
**Data Science Lead will be responsible for:**
+ Collaborate with cross-functional teams, including data scientists, project managers, HR partners and business stakeholders, to understand data requirements and define data engineering solutions that support workforce planning goals.
+ Working with the HR technology team and various other partners to build and maintain the People Analytics and Insights database. This includes integrating multiple systems and data sources to build large and complex data sets and making them usable for analytics studies (e.g. transforming and cleaning data, working with incomplete data sources, etc.)
+ Lead and mentor a team of data scientists, data engineers and tableau developers.
+ Applying analytical/technical expertise to translate business problems into actionable solutions.
+ Develop and implement data models to support advanced analytics and machine learning applications related to workforce planning and optimization.
+ Leading execution and automation of analytical and reporting projects to ensure that the outputs fulfill client requirements and expectations.
+ Performing ETL tasks and data analyses (exploratory, confirmatory and/or qualitative), which include wide use of reporting frameworks and statistical models/ tests using Python, Tableau etc.
+ Effectively communicate findings, ideas, and concepts to non-technical stakeholders both internally and externally.
+ Staying abreast of current trends/research in data science research and technology
**The Ideal Candidate will have:**
+ Master's Degree/ Bachelor's degree preferably in Statistics, Economics, Mathematics / B.tech in Computer science, IT
+ Extensive experience in:
+ Advanced SQL (or similar language for querying relational databases)
+ Advanced Python programming skills
+ Experience using platforms such as Oracle, Google Cloud, Snowflake, Airflow etc.
+ Experience with Big Data tools: Hadoop, Spark, Kafka
+ Tableau and other data visualization tools
+ Demonstrated ability to lead projects to timely delivery
+ Strong analytical skills related to working with unstructured datasets
+ Experience managing and working with large databases, data management, including understanding of various data structures and common methods in data transformation, data validation and audit
+ Demonstrated strong collaboration skills-Analytics & Insights is a team sport.
+ Ability to manage and work with structured and unstructured data with accuracy
+ Ability to multitask and manage multiple research/analytics projects at the same time
+ Demonstrated strong attention to detail, problem-solving, and critical thinking
+ Business and HR acumen is preferred
+ Adaptive to matrix work environment
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
This advertiser has chosen not to accept applicants from your region.
2
Data Science Manager, Real-Time Supply Management
Toronto, Ontario
Lyft
Posted 2 days ago
Job Viewed
Job Description
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world's best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products.
The Real-Time Supply Management (RTSM) team's mission is to improve rideshare market throughput by efficiently motivating driver decisions in real-time while maintaining a positive driver experience for long-term market health. This team is responsible for the efficient reinvestment of significant budgets to optimize supply conditions, providing effective supply controls etc., where and when the marketplace needs it most. Key areas include managing Bonus Zones, Priority Mode, and developing algorithms to improve budget allocation for maximum market throughput.
We are looking for a Data Science Manager to lead data science initiatives for the Real-Time Supply Management (RTSM) team. You will play a pivotal role in developing the vision, setting roadmaps, and leading the execution of data science projects that directly impact Lyft's marketplace efficiency and driver engagement. You'll partner closely with product, engineering, and operations leaders to build and scale our real-time incentive systems, shape long-term strategy, and deliver on critical business goals. You will initially be hands-on in building models and pipelines, gradually shifting to more managerial responsibilities as the team grows. The ideal candidate will have strong experience in algorithm development (particularly in optimization, machine learning, or causal inference), thrive in a fast-paced environment, and possess a hands-on, entrepreneurial mindset to drive results.
**Responsibilities:**
+ Lead, mentor, and grow a high-performing team of data scientists with diverse backgrounds, including optimization, experimentation, machine learning and causal inference.
+ Develop and deploy machine learning models, algorithms, and systems to optimize real-time supply management, including Bonus Zone budget allocation and Priority Mode effectiveness.
+ Define and drive the data science vision, strategy, and roadmap for RTSM, aligning with overall business objectives to improve market throughput and driver experience.
+ Provide strong technical guidance and coaching to the team on complex data science problems related to real-time decision-making and resource allocation.
+ Champion data-driven decision-making and prioritization within the RTSM team and with cross-functional partners.
+ Lead deep-dive analyses into large-scale datasets to identify opportunities for improving incentive efficiency, spend accuracy, and overall market health.
+ Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for real-time incentives.
+ Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies.
**Experience:**
+ Advanced degree (MS or PhD, PhD preferred) in a quantitative field like Operations Research, Computer Science, Statistics, Engineering, or a related area; or equivalent work experience.
+ 5+ years of hands-on technical experience in machine learning, causal inference, optimization, or data science, preferably with applications in real-time systems or marketplace dynamics.
+ 1+ years of management experience building, leading, and mentoring data science teams.
+ Proven track record of leveraging data science, optimization, and/or machine learning to drive significant business outcomes.
+ Experience guiding teams through ambiguous and complex technical challenges to deliver impactful solutions.
+ Strong understanding of experimental design and causal inference.
+ Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
+ Hands-on experience with large-scale data processing (e.g., Spark, SQL) and machine learning frameworks is highly desirable.
+ Familiarity with real-time bidding, dynamic pricing, or supply chain optimization is a strong plus.
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world's best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products.
The Real-Time Supply Management (RTSM) team's mission is to improve rideshare market throughput by efficiently motivating driver decisions in real-time while maintaining a positive driver experience for long-term market health. This team is responsible for the efficient reinvestment of significant budgets to optimize supply conditions, providing effective supply controls etc., where and when the marketplace needs it most. Key areas include managing Bonus Zones, Priority Mode, and developing algorithms to improve budget allocation for maximum market throughput.
We are looking for a Data Science Manager to lead data science initiatives for the Real-Time Supply Management (RTSM) team. You will play a pivotal role in developing the vision, setting roadmaps, and leading the execution of data science projects that directly impact Lyft's marketplace efficiency and driver engagement. You'll partner closely with product, engineering, and operations leaders to build and scale our real-time incentive systems, shape long-term strategy, and deliver on critical business goals. You will initially be hands-on in building models and pipelines, gradually shifting to more managerial responsibilities as the team grows. The ideal candidate will have strong experience in algorithm development (particularly in optimization, machine learning, or causal inference), thrive in a fast-paced environment, and possess a hands-on, entrepreneurial mindset to drive results.
**Responsibilities:**
+ Lead, mentor, and grow a high-performing team of data scientists with diverse backgrounds, including optimization, experimentation, machine learning and causal inference.
+ Develop and deploy machine learning models, algorithms, and systems to optimize real-time supply management, including Bonus Zone budget allocation and Priority Mode effectiveness.
+ Define and drive the data science vision, strategy, and roadmap for RTSM, aligning with overall business objectives to improve market throughput and driver experience.
+ Provide strong technical guidance and coaching to the team on complex data science problems related to real-time decision-making and resource allocation.
+ Champion data-driven decision-making and prioritization within the RTSM team and with cross-functional partners.
+ Lead deep-dive analyses into large-scale datasets to identify opportunities for improving incentive efficiency, spend accuracy, and overall market health.
+ Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for real-time incentives.
+ Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies.
**Experience:**
+ Advanced degree (MS or PhD, PhD preferred) in a quantitative field like Operations Research, Computer Science, Statistics, Engineering, or a related area; or equivalent work experience.
+ 5+ years of hands-on technical experience in machine learning, causal inference, optimization, or data science, preferably with applications in real-time systems or marketplace dynamics.
+ 1+ years of management experience building, leading, and mentoring data science teams.
+ Proven track record of leveraging data science, optimization, and/or machine learning to drive significant business outcomes.
+ Experience guiding teams through ambiguous and complex technical challenges to deliver impactful solutions.
+ Strong understanding of experimental design and causal inference.
+ Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
+ Hands-on experience with large-scale data processing (e.g., Spark, SQL) and machine learning frameworks is highly desirable.
+ Familiarity with real-time bidding, dynamic pricing, or supply chain optimization is a strong plus.
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
This advertiser has chosen not to accept applicants from your region.
3
AI and Data Science Technical Analyst-Manager
Toronto, Ontario
Sanofi Group
Posted 9 days ago
Job Viewed
Job Description
**Reference No** . R
**Position Title:** AI and Data Science Technical Analyst-Manager
**Department** : Data Science and Applied AI, EDGE
**Location:** Downtown Toronto (Hybrid - 3 days a week onsite)
**About the Job**
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.
**About Sanofi:** Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation. Our mission is to chase the miracles of science to improve people's lives. We are expanding across borders and transforming healthcare for all. People are the most critical ingredient to our success.
**About E.D.G.E.:** Sanofi's E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians' experiences, and reduce healthcare costs. We are actively incubating multiple concepts to improve lives globally, especially for underserved populations.
We are seeking an experienced AI & Data Science Technical Analyst/Manager to lead technical product management functions in a cross-functional pod of Computational Scientists, Data Scientists, and AI/ML Engineers. This role is pivotal in guiding the development of data and AI products that will revolutionize our data product pipelines. You will be responsible for defining the product vision, strategy, and roadmap for our AI-driven solutions, translating complex scientific and business challenges into actionable product plans.
You will orchestrate the work of a team that uses clinical and real-world data to create innovative data products and projects. Your leadership will ensure that our versatile teams deliver innovative, production-ready models and solutions that provide a competitive advantage for Sanofi.
We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world.
**Main Responsibilities:**
+ Product Vision and Strategy: Assist in the definition and communicate a clear product vision and strategic roadmap for AI and data science initiatives, aligning with the broader goals of EDGE, Digital, R&D and business stakeholders.
+ Roadmap and Execution: Manage the entire product lifecycle, from ideation and scoping to delivery and iteration. Break down complex problems into effective, actionable steps for the technical team.
+ Cross-Functional Leadership: Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams.
+ Stakeholder Management: Serve as the primary point of contact between the technical team and non-technical stakeholders, including researchers, clinicians, and business unit leaders. Translate and champion the team's advanced analytics capabilities and results to a broader audience.
+ Requirement Definition: Work with stakeholders to identify areas for data-driven improvement, gathering requirements and translating them into technical specifications and user stories for the development team.
+ Process Management: Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models.
+ Data and Technology Oversight: Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence. Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement.
**About You**
**Key Requirements & Qualifications:**
+ Educational Background: A degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, or significant experiences in technical/digital industries, preferably with advanced degrees.
+ 8 years Product Management Experience: Proven experience in a technical product management role, preferably in an agile environment, with a track record of launching production-level code and data-driven products.
+ Technical Fluency: Strong understanding of the data science and machine learning landscape. You should be familiar with concepts such as supervised/unsupervised learning, deep learning, NLP, and MLOps. While you won't be coding daily, you must be comfortable discussing technical approaches and challenges with engineers and scientists.
+ Domain Knowledge: Experience with healthcare data sources, such as electronic health records (EHRs), clinical trial data, or other biomedical datasets is highly preferred.
+ Leadership and Communication: Demonstrated ability to lead cross-functional teams and collaborate effectively. You possess excellent written and verbal communication skills, with a talent for data storytelling and translating complex technical concepts for non-technical audiences.
+ Problem-Solving Skills: A passion for solving complex problems with a desire to make a tangible impact on patient outcomes.
**Preferred Skills:**
+ Familiarity with data science languages and tools such as Python, R, JIRA, Confluence.
+ Knowledge of big data analytics platforms and ML libraries (e.g., Databricks, SageMaker, TensorFlow, PyTorch).
+ Experience with data visualization tools like Tableau, Plotly, or Streamlit.
+ Experience in the software/digital development and pharmaceutical industries and a solid understanding of the clinical research process.
**Why Choose Us?**
+ Bring the miracles of science to life alongside a supportive, future-focused team.
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs
This position is for a new vacant role that we are actively hiring for.
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
#GD-SG
#LI-GZ
#LI-Hybrid
#DBBCA
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
_North America Applicants Only_
The salary range for this position is:
$105,200.00 - $51,933.33
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK ( .
La fourchette salariale pour ce poste est la suivante:
105,200.00 - 151,933.33
Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien ( .
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
**Position Title:** AI and Data Science Technical Analyst-Manager
**Department** : Data Science and Applied AI, EDGE
**Location:** Downtown Toronto (Hybrid - 3 days a week onsite)
**About the Job**
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.
**About Sanofi:** Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation. Our mission is to chase the miracles of science to improve people's lives. We are expanding across borders and transforming healthcare for all. People are the most critical ingredient to our success.
**About E.D.G.E.:** Sanofi's E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians' experiences, and reduce healthcare costs. We are actively incubating multiple concepts to improve lives globally, especially for underserved populations.
We are seeking an experienced AI & Data Science Technical Analyst/Manager to lead technical product management functions in a cross-functional pod of Computational Scientists, Data Scientists, and AI/ML Engineers. This role is pivotal in guiding the development of data and AI products that will revolutionize our data product pipelines. You will be responsible for defining the product vision, strategy, and roadmap for our AI-driven solutions, translating complex scientific and business challenges into actionable product plans.
You will orchestrate the work of a team that uses clinical and real-world data to create innovative data products and projects. Your leadership will ensure that our versatile teams deliver innovative, production-ready models and solutions that provide a competitive advantage for Sanofi.
We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world.
**Main Responsibilities:**
+ Product Vision and Strategy: Assist in the definition and communicate a clear product vision and strategic roadmap for AI and data science initiatives, aligning with the broader goals of EDGE, Digital, R&D and business stakeholders.
+ Roadmap and Execution: Manage the entire product lifecycle, from ideation and scoping to delivery and iteration. Break down complex problems into effective, actionable steps for the technical team.
+ Cross-Functional Leadership: Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams.
+ Stakeholder Management: Serve as the primary point of contact between the technical team and non-technical stakeholders, including researchers, clinicians, and business unit leaders. Translate and champion the team's advanced analytics capabilities and results to a broader audience.
+ Requirement Definition: Work with stakeholders to identify areas for data-driven improvement, gathering requirements and translating them into technical specifications and user stories for the development team.
+ Process Management: Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models.
+ Data and Technology Oversight: Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence. Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement.
**About You**
**Key Requirements & Qualifications:**
+ Educational Background: A degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, or significant experiences in technical/digital industries, preferably with advanced degrees.
+ 8 years Product Management Experience: Proven experience in a technical product management role, preferably in an agile environment, with a track record of launching production-level code and data-driven products.
+ Technical Fluency: Strong understanding of the data science and machine learning landscape. You should be familiar with concepts such as supervised/unsupervised learning, deep learning, NLP, and MLOps. While you won't be coding daily, you must be comfortable discussing technical approaches and challenges with engineers and scientists.
+ Domain Knowledge: Experience with healthcare data sources, such as electronic health records (EHRs), clinical trial data, or other biomedical datasets is highly preferred.
+ Leadership and Communication: Demonstrated ability to lead cross-functional teams and collaborate effectively. You possess excellent written and verbal communication skills, with a talent for data storytelling and translating complex technical concepts for non-technical audiences.
+ Problem-Solving Skills: A passion for solving complex problems with a desire to make a tangible impact on patient outcomes.
**Preferred Skills:**
+ Familiarity with data science languages and tools such as Python, R, JIRA, Confluence.
+ Knowledge of big data analytics platforms and ML libraries (e.g., Databricks, SageMaker, TensorFlow, PyTorch).
+ Experience with data visualization tools like Tableau, Plotly, or Streamlit.
+ Experience in the software/digital development and pharmaceutical industries and a solid understanding of the clinical research process.
**Why Choose Us?**
+ Bring the miracles of science to life alongside a supportive, future-focused team.
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs
This position is for a new vacant role that we are actively hiring for.
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
#GD-SG
#LI-GZ
#LI-Hybrid
#DBBCA
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
_North America Applicants Only_
The salary range for this position is:
$105,200.00 - $51,933.33
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK ( .
La fourchette salariale pour ce poste est la suivante:
105,200.00 - 151,933.33
Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien ( .
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
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4
AI & Automation Intern (Data Science / Software / Engineering)
Nepean, Ontario
Giatec Scientific Inc.
Posted today
Job Viewed
Job Description
Job Description
Job Description
Salary:
We are seeking a highly motivated and technically strong Co-op Student to join our Corporate IT team this fall (September to December 2025). This role is a unique opportunity for a student with a background in data science, computer engineering, or software development who is also passionate about helping others adopt AI in their work.
As a Co-op Student in AI & Automation, you will collaborate with teams across Giatec, many of whom are less technical, to help them leverage AI tools and automation in meaningful ways. Youll identify opportunities, build prototypes, and serve as a bridge between technical expertise and everyday workflows. Your enthusiasm for AI, strong technical skills, and outgoing personality will help spark adoption and make a measurable impact across the company.
WHAT WILL YOU DO?
- Partner with non-technical teams to understand their workflows and uncover opportunities where AI and automation can improve efficiency.
- Design, prototype, and implement internal AI-driven tools, scripts, or workflows to support productivity.
- Provide hands-on guidance and training to help colleagues confidently adopt and use AI solutions.
- Work with structured and unstructured datasets to support automation and analytics initiatives.
- Apply machine learning, natural language processing, or workflow automation frameworks when appropriate.
- Document solutions clearly to ensure scalability and reusability.
- Share outcomes and recommendations with IT and business stakeholders in an approachable and engaging way.
WHAT DO YOU BRING TO THE ROLE?
- Currently enrolled in a Master of Science (Data Science, Computer Engineering, Computer Science, Software Engineering, or related program).
- Available for a 4 month co-op/internship (September to December)
- Strong programming skills in Python (preferred), R, or JavaScript.
- Hands-on experience working with LLM APIs (e.g., OpenAI API, Anthropic Claude, etc.) to build prototypes, assistants, or workflow integrations.
- Familiarity with AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) and an understanding of how to use them effectively in development.
- Exposure to agentic workflows or orchestration frameworks(e.g., LangChain, LlamaIndex, semantic automation tools) is an asset.
- Comfortable leveraging AI productivity tools (e.g., document automation, chat-based research, summarization).
- Excellent communication skills, with the ability to translate technical concepts into clear, accessible language for non-technical users.
- Outgoing, curious, and passionate about AI, with the ability to inspire colleagues to experiment with and adopt new tools.
WHY GIATEC?
- Hands-on experience applying AI and automation in a corporate environment.
- The chance to directly influence how teams across the company work and innovate.
- Mentorship from IT and engineering professionals.
- A collaborative, supportive, and innovation-driven culture.
ABOUT GIATEC:
Giatec Scientific Inc. (Giatec) is a global company bringing smart testing technologies and real-time data collection to the forefront of every jobsite to revolutionizing the construction industry and reduce concretes carbon footprint. Giatecs suite of hardware & software products leverages AI and Internet of Things (IoT) and delivers wireless concrete sensors, mobile apps, and advanced non-destructive technologies (NDT) that drives innovation throughout concretes lifecycle.
Giatec technology has helped over 13,500 projects in 85 plus countries worldwide meet their construction targets on time, and this number is quickly growing. We have also been recognized by numerous organizations as one of Canadas fastest growing companies for three years running!
At Giatec, we fundamentally believe that attracting and keeping smart and talented people is a key to our success. We are looking for creative and passionate people to join our rapidly expanding team. Team up with us and reshape your future!
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5
Specialist Product Ownership - Data Science (1-year contract)
North York, Ontario
Nestle
Posted 9 days ago
Job Viewed
Job Description
**Position Snapshot**
**Business areas: Nestlé Canada**
**Job title: Specialist Product Ownership - Data Science (1-year contract)**
**Location:** **North York, ON located at 25 Sheppard Ave W, North York, ON M2N 6S8;**
**Hybrid**
**A little bit about us**
While Nestlé is known for KitKat, Gerber, Nescafe, and Häagen-Dazs, our recipe for success comes down to one thing: our people.
We strive to lead a people-focused culture that empowers employees to bring their authentic selves to work each day. There are 3,000+ members of Nestlé Canada celebrated for taking action using agility, courage, and trust to find solutions that benefit the business or greater good. We're a team of changemakers, who are curious and challenge the status quo, that take risks that will help drive us forward.
Our focus is not only on nourishing our customers, but also about enriching you. We know that empowerment leads to strong employee engagement, a great work culture, and motivated employees.
**Position Summary**
We are seeking a professional to leverage AI and decision science to develop mathematical solutions that address business needs, enhance value, and facilitate process transformation. This role involves managing the delivery of these solutions and translating business challenges into analytical insights using forecasting, machine learning, generative AI, optimization, simulation, and various AI methodologies.
**A day in the life of a** **Specialist Product Ownership** - **Data Science** **:**
**AI Service Delivery & Business Impact:**
+ Delivery of AI-driven mathematical solutions that enhance business value and streamline processes
+ Prompt and efficient response to business challenges using AI methodologies that lead to process improvements and increased efficiency
**Stakeholder Management & People Transformation:**
+ Communication of AI findings and recommendations with businesses and functional SMEs in non-technical language
+ Facilitate change management through engagement with stakeholders to foster understanding and adoption of AI-driven processes
**People Management:**
+ Foster a culture of innovation and continuous learning among the team of data engineers and AI specialists
+ Drive the upskilling of team members in AI methodologies
**Role Requirements**
+ **Master's degree in applied Statistics** , Mathematics, Computer Science, AI, or a related field
+ Minimum 3 years working with BIG or complex data sets in a statistical/analytical/AI role
+ Proficient in AI & data visualization techniques (e.g., Python, Spark, R, MS Power BI, and open source)
+ Proven experience in developing algorithms and predictive models using AI methodologies
+ Experience with Generative AI and OpenAI technologies
+ Experience in development lifecycle of solution and migration and testing strategies
+ Knowledge of agile, scrum, hackathon, and design thinking methodologies
**Desirable skills:**
+ Experience in R programming, Python, and Information Modelling/ETL within SQL
+ Business knowledge in "FMCG/CPG" OR "Retail" industry
**Benefits**
+ Flexible and hybrid work arrangements
+ Excellent training and development programs as well as opportunities to grow within the company
+ Access to the Discount Company store with Nestlé, Nespresso, and Purina products (Located across various Nestle offices/sites)
+ Additional discounts on a variety of products and services offered by our preferred vendors and partnerships
**What you need to know**
We will be considering applicants as they apply, so please don't delay in submitting your application.
Nestlé Canada is an equal-opportunity employer committed to diversity, equity, inclusion, and accessibility. We welcome qualified applicants to bring their diverse and unique experiences as a result of their education, perspectives, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran's status, colour, religion, disability, sexual orientation and beliefs.
If you are selected to participate in the recruitment process, please inform Human Resources of any accommodations you may require. Nestlé will work with you in an effort to ensure that you are able to fully participate in the process.
**Business areas: Nestlé Canada**
**Job title: Specialist Product Ownership - Data Science (1-year contract)**
**Location:** **North York, ON located at 25 Sheppard Ave W, North York, ON M2N 6S8;**
**Hybrid**
**A little bit about us**
While Nestlé is known for KitKat, Gerber, Nescafe, and Häagen-Dazs, our recipe for success comes down to one thing: our people.
We strive to lead a people-focused culture that empowers employees to bring their authentic selves to work each day. There are 3,000+ members of Nestlé Canada celebrated for taking action using agility, courage, and trust to find solutions that benefit the business or greater good. We're a team of changemakers, who are curious and challenge the status quo, that take risks that will help drive us forward.
Our focus is not only on nourishing our customers, but also about enriching you. We know that empowerment leads to strong employee engagement, a great work culture, and motivated employees.
**Position Summary**
We are seeking a professional to leverage AI and decision science to develop mathematical solutions that address business needs, enhance value, and facilitate process transformation. This role involves managing the delivery of these solutions and translating business challenges into analytical insights using forecasting, machine learning, generative AI, optimization, simulation, and various AI methodologies.
**A day in the life of a** **Specialist Product Ownership** - **Data Science** **:**
**AI Service Delivery & Business Impact:**
+ Delivery of AI-driven mathematical solutions that enhance business value and streamline processes
+ Prompt and efficient response to business challenges using AI methodologies that lead to process improvements and increased efficiency
**Stakeholder Management & People Transformation:**
+ Communication of AI findings and recommendations with businesses and functional SMEs in non-technical language
+ Facilitate change management through engagement with stakeholders to foster understanding and adoption of AI-driven processes
**People Management:**
+ Foster a culture of innovation and continuous learning among the team of data engineers and AI specialists
+ Drive the upskilling of team members in AI methodologies
**Role Requirements**
+ **Master's degree in applied Statistics** , Mathematics, Computer Science, AI, or a related field
+ Minimum 3 years working with BIG or complex data sets in a statistical/analytical/AI role
+ Proficient in AI & data visualization techniques (e.g., Python, Spark, R, MS Power BI, and open source)
+ Proven experience in developing algorithms and predictive models using AI methodologies
+ Experience with Generative AI and OpenAI technologies
+ Experience in development lifecycle of solution and migration and testing strategies
+ Knowledge of agile, scrum, hackathon, and design thinking methodologies
**Desirable skills:**
+ Experience in R programming, Python, and Information Modelling/ETL within SQL
+ Business knowledge in "FMCG/CPG" OR "Retail" industry
**Benefits**
+ Flexible and hybrid work arrangements
+ Excellent training and development programs as well as opportunities to grow within the company
+ Access to the Discount Company store with Nestlé, Nespresso, and Purina products (Located across various Nestle offices/sites)
+ Additional discounts on a variety of products and services offered by our preferred vendors and partnerships
**What you need to know**
We will be considering applicants as they apply, so please don't delay in submitting your application.
Nestlé Canada is an equal-opportunity employer committed to diversity, equity, inclusion, and accessibility. We welcome qualified applicants to bring their diverse and unique experiences as a result of their education, perspectives, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran's status, colour, religion, disability, sexual orientation and beliefs.
If you are selected to participate in the recruitment process, please inform Human Resources of any accommodations you may require. Nestlé will work with you in an effort to ensure that you are able to fully participate in the process.
This advertiser has chosen not to accept applicants from your region.
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