356 Senior Data Scientist jobs in Canada

We are seeking a motivated Data Scientist to join our Canadian Artificial Intelligence team, specializing in fraud detection. This role is pivotal in developing sophisticated AI and ML models to enhance fraud detection capabilities across our business operations. As a Data Scientist, you will develop and implement robust analytical solutions, applying both traditional and emerging machine learning and AI techniques, including outlier detection, link analysis, and fraud pattern recognition, while deploying applications on cloud platforms like Azure. You will work closely with multi-functional teams to design and implement fraud detection algorithms, contributing to improved security, customer experience, and operational efficiency. This role demands a blend of analytical expertise, strategic thinking, and a passion for innovation.
**Position Responsibilities:**
+ **Fraud Detection and Modeling:**
+ Utilize advanced statistical methods and machine learning techniques to analyze complex datasets, identifying fraudulent activities and patterns.
+ Develop and refine predictive models to enhance fraud detection accuracy, estimation, and efficiency.
+ **Support Fraud Prevention Initiatives:**
+ Collaborate with security and risk teams to develop strategies that prevent and mitigate fraud risks.
+ Implement real-time monitoring and alert systems for rapid fraud detection and response.
+ **Product Development Insights:**
+ Work closely with product development teams to integrate fraud detection capabilities into product offerings, ensuring robust security measures are in place.
+ **Operational Efficiency:**
+ Design and implement data-driven solutions to streamline fraud detection processes, improving operational efficiency and reducing false positives.
+ **Enhance Customer Experience:**
+ Analyze customer transaction data to identify suspicious behavior, ensuring a secure and seamless customer experience.
+ **Collaborative Problem Solving:**
+ Partner with cross-functional teams to understand business challenges related to fraud, translating them into data science projects and delivering impactful solutions.
+ **Data Management and Governance:**
+ Ensure data integrity, accuracy, and security while adhering to best practices and regulatory requirements for data management within the financial industry.
+ **Continuous Learning and Innovation:**
+ Stay abreast of emerging trends in fraud detection and data science, promoting a culture of continuous learning and innovation within the team.
**Required Qualifications:**
+ **Years of experience**
+ Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks
+ Bachelor', Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
**Preferred Qualifications:**
+ Proven experience in data science, analytics, or a related field, with a focus on fraud detection preferred.
+ Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks
+ Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
+ Experience with AzureML, Databricks, and PowerBI
+ Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
+ Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
+ Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams.
+ Experience with Salesforce is preferred
_When you join our team:_
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
#LI-Hybrid
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

We are seeking a motivated Data Scientist to join our Canadian Artificial Intelligence team, specializing in fraud detection. This role is pivotal in developing sophisticated AI and ML models to enhance fraud detection capabilities across our business operations. As a Data Scientist, you will develop and implement robust analytical solutions, applying both traditional and emerging machine learning and AI techniques, including outlier detection, link analysis, and fraud pattern recognition, while deploying applications on cloud platforms like Azure. You will work closely with multi-functional teams to design and implement fraud detection algorithms, contributing to improved security, customer experience, and operational efficiency. This role demands a blend of analytical expertise, strategic thinking, and a passion for innovation.
**Position Responsibilities:**
+ **Fraud Detection and Modeling:**
+ Utilize advanced statistical methods and machine learning techniques to analyze complex datasets, identifying fraudulent activities and patterns.
+ Develop and refine predictive models to enhance fraud detection accuracy, estimation, and efficiency.
+ **Support Fraud Prevention Initiatives:**
+ Collaborate with security and risk teams to develop strategies that prevent and mitigate fraud risks.
+ Implement real-time monitoring and alert systems for rapid fraud detection and response.
+ **Product Development Insights:**
+ Work closely with product development teams to integrate fraud detection capabilities into product offerings, ensuring robust security measures are in place.
+ **Operational Efficiency:**
+ Design and implement data-driven solutions to streamline fraud detection processes, improving operational efficiency and reducing false positives.
+ **Enhance Customer Experience:**
+ Analyze customer transaction data to identify suspicious behavior, ensuring a secure and seamless customer experience.
+ **Collaborative Problem Solving:**
+ Partner with cross-functional teams to understand business challenges related to fraud, translating them into data science projects and delivering impactful solutions.
+ **Data Management and Governance:**
+ Ensure data integrity, accuracy, and security while adhering to best practices and regulatory requirements for data management within the financial industry.
+ **Continuous Learning and Innovation:**
+ Stay abreast of emerging trends in fraud detection and data science, promoting a culture of continuous learning and innovation within the team.
**Required Qualifications:**
+ **Years of experience**
+ Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks
+ Bachelor', Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
**Preferred Qualifications:**
+ Proven experience in data science, analytics, or a related field, with a focus on fraud detection preferred.
+ Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks
+ Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
+ Experience with AzureML, Databricks, and PowerBI
+ Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
+ Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
+ Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams.
+ Experience with Salesforce is preferred
_When you join our team:_
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
#LI-Hybrid
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

As part of the Astellas commitment to delivering value for our patients, our organisation is currently undergoing transformation to achieve this critical goal. This is an opportunity to work on digital transformation and make a real impact within a company dedicated to improving lives.
DigitalX, our new information technology function, is spearheading this value driven transformation across Astellas. We are looking for people who excel in embracing change, manage technical challenges and have exceptional communication skills.
We are seeking a skilled Data Analyst to join our team as an internal consultant to all parts of the business. In this role, you will collaborate with various corporate functions, including finance, commercial, and operations, to provide data-driven insights and recommendations. The ideal candidate will possess a strong consulting background, data science skills, and proficiency in business intelligence tools.
**Purpose and Scope:**
The data analysis team serves as a bridge between business and technology by reporting and monitoring data, operationalizing data science and machine learning products, and identifying opportunities for continuous improvement to enhance decision-making. As a data scientist, you will be responsible for partnering with corporate functions to understand their business problem, and design, implement, and maintain digital solutions using analytical, data science, and AI/ML techniques. Mostly importantly, an innovative and collaborative mindset is needed to increase the value to patients.
**Essential Job Responsibilities:**
+ Bridge between business and technology for decision making:
+ Data storytelling.
+ Uncovering patterns in data.
+ Providing unbiased and data-driven insights for decision making.
+ Building out analytical processes and translating results into actions for the business.
+ Operationalizing data science and ML products:
+ Building out automated processes based on data science and ML products and incorporating them into BAU processes
+ Collecting business stakeholder input and buy-in to increase use of analytical products for increased efficiency and decreased costs.
+ Utilize programming languages such as Python and R to perform data analysis and modeling.
+ Identification of continuous improvement:
+ Identification of opportunities for improvement across business pipelines.
+ Coordination across multiple teams and stakeholders to act.
+ Stay updated on industry trends and best practices in data analysis, data science, AI, and business intelligence.
+ Reporting and monitoring:
+ Dashboard creation for reporting and monitoring: develop and maintain dashboards and reports using BI tools such as QlikSense and Tableau to visualize data and support decision-making.
+ Collaborate with cross-functional teams to define key performance indicators (KPIs) and metrics for tracking business performance.
+ Present findings and recommendations to stakeholders in a clear and concise manner.
+ Data visualization.
+ Database querying using SQL.
+ Basic statistical analysis: analyze complex datasets to identify trends, patterns, and opportunities for improvement.
**Qualifications:**
**Required**
+ 3-5 years of experience in data analysis or data science role.
+ Bachelor's degree in mathematics, data science, statistics, or a related field.
+ 3-5 years of experience using Python and R.
+ 3-5 years of experience using statistical and AI/ML concepts.
+ Demonstrates strong innovative mindset to increase value to patients.
+ 3+ years of experience using business intelligence tools including Qliksense, Tableau, and/or PowerBI.
+ Proficiency in database querying languages such as SQL and knowledge of database management systems.
+ Knowledge of or experience using Generative AI.
+ Experience ensuring data quality, consistency, and accuracy.
+ Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
+ Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
+ Ability to communicate and work effectively with other technical team members to agree on a best solution.
+ A self-starter able to work on own but know when to collaborate with wider team to ensure best overall solution.
+ Experience working with data warehousing and data modelling.
+ Ability to design and implement logical and physical data models.
+ Familiarity with data warehousing concepts, including star schema, snowflake schema, and data marts.
+ Understanding of ETL (Extract, Transform, Load) processes and data integration techniques.
+ Ability to work collaboratively in a fast-paced, team-oriented environment.
+ Ability to adhere to agile principles and to act as an agile champion.
**Preferred:**
+ Master's or PhD in mathematics, data science, statistics, or a related field.
+ Experience using PySpark.
+ Experience in a consulting role.
+ Experience in the pharmaceutical or healthcare industry.
+ Proficiency with Databricks.
+ Experience with Cloud environments, DevOps, infrastructure, and deployment.
**Working Environment:**
At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines.
#LI-DM
Category InformationX
Astellas is committed to equality of opportunity in all aspects of employment.
EOE including Disability/Protected Veterans

_When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans ( _Dental, medical, life insurance, disability, and more_ )
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
+ Collect and preprocess data from various sources such as SAP, Salesforces, and the Connected Aircraft Smart Link Plus box (IoT) of our Global and Challenger fleet
+ Perform exploratory data analysis and feature engineering to extract new insights and generate business value, ready to be deployed at scale for maximum impact
+ Develop, train, validate, and monitor machine learning, statistical, and AI models to propel our Digital Portfolio of customer-facing applications as well as increase the productivity of our Aftermarket tools and processes
+ Plan and implement the Aftermarket Data Science & AI roadmap together with product managers, product owners, business analysts, and UI/UX designers
+ Work in close collaboration with data and ML engineers, ensuring the models are productionized successfully and yield the desired outcome
+ Collaborate with aircraft system engineers, technical specialists, field service representatives, and our Customer Response Center to develop a state-of-the-art Predictive Maintenance solution comprised of a Condition Monitoring, Diagnostics, and Prognostics modules
+ Conduct literature reviews and competitive intelligence on AI-powered digital products and services tailored to the business aviation industry
+ Communicate findings to AI and non-AI practitioners alike, bridging the gap between technology and business
**How to thrive in this role?**
+ You have a master's degree or Ph.D. in Computer Science, Engineering, or related field
+ You have experience developing AI/ML solutions in a business context with proven benefits
+ You have experience deploying big data analytics in the cloud (AWS, Azure, Google Cloud)
+ You have experience supporting enterprise-grade, fully productionized ML pipelines
+ You have experience with time-series data, particularly telemetry (sensor-based) data
+ You have experience with predictive maintenance and aircraft systems (asset)
+ You master Python and its ecosystem of machine learning libraries
+ You are result-driven, open-minded, curious, autonomous, and enthusiastic
+ You are a team player with above-average communication skills in English and French
**Now that you can see yourself in this role, apply and join the Bombardier Team!**
Please note: You don't need _all_ the skills, knowledge, and experience listed to apply for this position. We're not looking for the perfect candidate, we're looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Data Scientist
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift**
**Employee Status** Regular
**Requisition** 6554 Data Scientist

Job Description

Job Description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

• A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
• 1-2 years' experience developing solutions and working with Python
• Confident extracting and manipulating data from SQL and noSQL stores
• Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks’ vacation
• Relocation Package

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

Job Description

Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.

Charger logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual idea and strategies.

Responsibilities:

• Understand business processes and translate analytical needs into scalable data science and ML solutions using cloud technologies.
• Collect and process structured and unstructured data from multiple internal and external sources to support model development and analytics initiatives.
• Perform exploratory data analysis (EDA) to uncover trends, anomalies, and root causes behind business outcomes.
• Develop and deploy machine learning models using modern cloud services (e.g., Vertex AI, BigQuery ML, Dataflow) and open-source frameworks.
• Build and automate end-to-end data pipelines for analytics and machine learning using tools such as: BigQuery, Dataflow, Dataproc, RisingWave, Vertex AI, Cloud Functions, Pub/Sub, and Cloud Composer (Airflow).
• Collaborate with engineering teams to implement real-time data pipelines and APIs for integrating ML models into production systems.
• Drive scalable, reproducible experimentation, model validation, and deployment of ML solutions.
• Leverage strong Python and SQL skills, including advanced techniques such as CTEs and window functions, for data wrangling, modeling, and analysis.
• Build dashboards and visualizations to present actionable insights to business stakeholders.
• Contribute to the development and implementation of data governance, MLOps, and model monitoring best practices.

Requirements

• University degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 5 years relevant experience.
• Strong expertise in SQL (including CTEs, window functions, query optimization) and Python for data science and analytics workflows.
• Experience working with RisingWave or similar streaming SQL/data platforms is preferred.
• Google Cloud Professional Data Engineer or Machine Learning Engineer certification is a strong asset.
• Minimum of 3 years of hands-on Snowflake experience; SnowPro® Advanced: Data Scientist Certification is preferred.
• Experience with Azure, AWS, and Databricks platforms.
• Experience with ETL tools like Matillion and orchestration tools such as Airflow or Cloud Composer is an asset.
• Strong knowledge of Python libraries such as Pandas, NumPy, Scikit-learn, and PyTorch for machine learning and statistical analysis.
• Experience with Azure ML Studio is considered an asset.
• Practical experience with anomaly detection algorithms and unstructured data is a plus.
• Solid understanding of data testing practices, including unit and integration testing.
• Excellent communication skills to translate analytical findings into actionable business insights for both technical and non-technical audiences.
• Ability to work in ambiguous environments, apply creative problem-solving, and deliver data solutions aligned with business objectives.

Benefits

• Health Benefits
• Career Growth
• High Competitive Salary

Job Description

Job Description

Job Summary
Full-time:    37.5 Hours per week, Monday to Friday
Location:     Ottawa Office (Up to 3 days per week), 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office  
Reporting To:    Director of Technology

We are looking for an enthusiastic and self-motivated individual to join the Larus team as a Data Scientist. Our Data Science team develops end-to-end real-time solutions for the enterprise market. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems and learn and apply new skills. 

Key Responsibilities

• Design and implement scalable, distributed AI/ML-based systems; 
• Design, development, integration, and testing of AI/ML models;
• Advocate high-quality and best practices in software design and development;
• Close interaction with other team members on system integration and validation; 
• Perform data analysis, visualization, and modeling with large datasets;
• Perform data acquisition, cleaning, and transformation;
• Record and document work;
• Meet sprint goals with the team and release deliverables to stakeholders and customers; and
• Other duties as assigned. 

Qualifications
Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies, we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.  

Expected qualifications include:

• University graduate degree in STEM (e.g. Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
• Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada);
• Master’s or Ph.D. is considered an asset;
• 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines;
• Passion for learning and solving complex problems;
• Strong object-oriented programming in Python; 
• Strong communication skills; 
• Ability to work in a dynamic, fast-paced work environment; and 
• Organized and focused; 

Technical Skill Requirements, working knowledge of:  

• Python;
• Algorithmic design;
• Machine Learning and Data Mining;  
• AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch, Jax); 
• Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
• Source control-based system (e.g. Git);  
• Trend analysis and predictive modeling; and,
• Data collection, analysis and reporting 
   

Preferred Technical Skills:  

• MLOps (e.g., Kubeflow); 
• Cloud Infrastructure (e.g., Databricks, Azure);
• Distributed Computing (e.g., Cloud, Docker, Kubernetes, Dask);
• Software Unit Testing (e.g., Python Unittest);
• Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops); 
• Data Visualization (e.g., matplotlib, seaborn, streamlit); 
• Optimization (e.g., optuna, katib, jmetalpy, GA); and 
• Mathematics (e.g., linear algebra, statistics, mathematical programming).

Benefits  

• Competitive compensation package;
• Comprehensive Health and Dental insurance package; 
• Competitive vacation and paid time off; 
• Company-sponsored team-building events; and
• Learning and development opportunities. 

About Larus
Larus Technologies Corporation ( ) is an Ottawa-based software product and research company capable of developing intelligent systems and engineering simulations primarily for business, Defence and security applications. Larus’ core business areas include Data Analytics and Fusion Solutions, including the Total::Insight™ Decision Support System and the Total::Perception™ Systems Simulation Engine, Software Engineering Services, primarily in the Public Security and Defence sectors; and Research and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, and Data Science. 

We invite enthusiastic and qualified applicants to submit their cover letter and resume through our JazzHR system. 

We thank all applicants; however, only those selected for an interview will be contacted.  
At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.  

Larus has an accommodation process and provides accommodation for applicants with disabilities.  If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at

 

Powered by JazzHR

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Job Description

Job Description

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

• 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
• Strong analytical skills working with unstructured data sets
• Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
• Strong experience with big data services like Spark, Kafka, Rabbit
• Experience working with Startups are considered a bonus
• Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

Job Description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

• A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
• 1-2 years' experience developing solutions and working with Python
• Confident extracting and manipulating data from SQL and noSQL stores
• Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks’ vacation
• Relocation Package

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.