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Manager, Data Science and Analytics
Posted 1 day ago
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Job Description
Company Description
Vention helps some of the most innovative manufacturing companies automate their production floor in just a few days. Vention's manufacturing automation platform (MAP) enables its clients to design, automate, order, and deploy manufacturing equipment directly from their web browser. Vention is headquartered in Montreal, Canada, with offices in Berlin and Boston, and is used in over 3,000 factories on 5 continents.
As one of Canada’s Most Admired Cultures we are a performance driven culture that cares deeply about our employees well being. We set ambitious goals, rely on data, and thrive on healthy debate. But we also know sustainable performance comes from a caring and uplifting environment. Both sides of our culture fuel each other—and we protect them equally. Our values & principles include:
- We make our clients successful - we do what’s right for our customers, even when it makes our roles more challenging.
- We execute and deliver - we set ambitious goals for ourselves and are energized about meeting them.
- We debate, then commit - we challenge our own perspectives and ideas in pursuit of the best solutions.
- We innovate to inspire - we value innovation in products, user experiences, and business practices.
- We collaborate to achieve more - we work as one team to achieve more than we would on our own.
- We empower our people to reach their full potential - we hold ourselves to high standards but know when to celebrate progress & achievements
As the Manager of Data Science and Analytics, you will lead and build a small but growing team responsible for transforming Vention’s rich data into insights that directly impact strategic decisions across the company. You’ll get your hands dirty applying data science techniques to solve high-impact problems in operations, growth, product, and customer experience - all while helping establish the data vision and infrastructure that scales with our business.
This is a unique opportunity for a strong leader and active contributor who thrives in a high-autonomy, high-impact role and is excited about growing the data function from the ground up. Today, you’ll manage one data analyst and work hands-on with engineering and business teams. Tomorrow, you’ll be scoping and leading an expanded team to meet the growing needs of the business.
This role is mission-critical to how we scale and compete. With access to a gold mine of high-value data, you’ll be instrumental in shaping strategy across the company. If you’re passionate about using data to solve real-world problems at the intersection of AI and advanced manufacturing, this is your opportunity.
What You’ll Do:
Leadership and Stakeholder Collaboration
- Manage, mentor, and grow a high-performing data team, while contributing directly to analytics and data science initiatives. Promote best practices in data management and modeling.
- Partner with business leaders to understand critical data needs, define priorities, and ensure alignment between analytics initiatives and strategic goals.
- Own the analytics roadmap and sprint planning processes. Balance quick wins with long-term capability building in line with evolving business needs.
Analytics & Insight Generation
- Drive complex data modelling and advanced analytics initiatives (including statistical modelling, forecasting, and clustering) to identify trends, optimize performance and drive growth.
- Lead the development of data visualization strategies, dashboards, and KPIs that deliver actionable insights and drive strategic business decisions.
- Translate complex analytics into actionable recommendations for executive leadership and key stakeholders.
Data Infrastructure & Governance
- Own the development, reliability, and scalability of the company’s data infrastructure, including the data warehouse, ETL/ELT pipelines, and source system integrations.
- Ensure data accuracy and consistency while adhering to compliance and governance standards.
- Maintain documentation for data architecture, processes, and analytics methodologies.
What You Bring to the Table:
- 5–7 years of hands-on experience in data science or analytics, with a proven ability to lead projects, manage teams and influence business decisions.
- Bachelor’s degree in Engineering, Computer Science, Data Science, Business ANalytics Mathematics, Statistics, or a related field
- Strong technical foundation with proficiency in Python, SQL and BI tools (i.e. Power BI/Looker).
- Proven experience with data warehousing concepts, ETL processes, and data modelling techniques (i.e. Snowflake, Airbyte, AWS)
- Deep knowledge of statistical techniques, regression modeling, and machine learning methods (e.g., clustering, decision trees, neural networks).
- Excellent communication and collaboration skills, with a passion for translating data into actionable insights for non-technical stakeholders. Bilingual (English/French) is a strong asset.
- Curious, entrepreneurial, and hands-on — driven to build data capabilities from the ground up.
Additional Information
How We Take Care of You
- Flexible paid time off.
- Global comprehensive health plans so you feel your best.
- Complimentary beverages and snacks so that you are fuelled and ready for your day.
- Career growth opportunities. Your future matters.
- Fun-filled social events curated based on diverse interests for our team to celebrate together. From sponsored sports teams to trivia nights.
- Time off to volunteer and give back to your community.
What to Expect in Your Interview
- Initial Call
- Team interview
- Challenge
- Final Interview
- Decision & Offer
️Commitment to Equal Employment Opportunity
Our culture is built for high achievers who thrive in fast-paced, high-impact environments. At Vention, you'll have the chance to shape products, processes, and strategies that leave a lasting impression.
When you join Vention, you join a team of professionals with a diverse variety of experiences, backgrounds, and perspectives. We’re committed to fostering a supportive, inclusive workplace where collaboration fuels extraordinary outcomes - and where strong, lasting relationships are built through shared drive and passion. We’re passionate about helping you do your best work. Claim your seat and find out what you can do!
If you require any accommodations during the interview process, let us know - we are happy to support you.
Not sure if your experience checks every box? That’s okay - apply anyway. We’d love to get to know you and share more about the role.
Senior Director - Data science AI
Posted today
Job Viewed
Job Description
A career as Senior Director - Data Science Artificial Intelligence on the Data team at National Bank will help define the AI and machine learning strategy and deliver concrete, high-impact solutions. This position allows you to play a key role in technological innovation while creating value for the organisation through your leadership, scientific expertise and ability to collaborate with stakeholders.
Your job
- Lead, coach and grow a multidisciplinary team of artificial intelligence and machine learning scientists.
- Define and implement the strategic roadmap for artificial intelligence and machine learning initiatives.
- Collaborate with business stakeholders to transform needs into concrete, measurable solutions.
- Oversee the development, deployment and monitoring of robust and scalable models and algorithms.
- Ensure scientific rigour, reproducibility and application of ethical practises in artificial intelligence.
- Represent the team in executive forums and cross-sector initiatives.
Your team
The Vice-President - Data and Analytics brings together a team of passionate specialists who work in an agile and collaborative way to transform data into drivers of growth and innovation. We combine scientific expertise, entrepreneurial spirit and collaboration to create high-value-added solutions.
In the Data sector, you will be part of a centralised team dedicated to artificial intelligence and machine learning. You will report to a Senior Manager and collaborate with colleagues from a variety of backgrounds to develop innovative projects across the organisation. We offer a stimulating, open and knowledge-sharing environment.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
- Master's or doctorate degree in computer science, artificial intelligence, machine learning or related field.
- Minimum of 8 years of experience in artificial intelligence and machine learning
- Experience in team management
- Experience delivering AI solutions with a measurable impact on business
- Experience with cloud platforms, MLOps practises and deployment in production.
- Excellent communication and stakeholder management skills
Senior Director - Data science AI
Posted today
Job Viewed
Job Description
A career as Senior Director - Data Science Artificial Intelligence on the Data team at National Bank will help define the AI and machine learning strategy and deliver concrete, high-impact solutions. This position allows you to play a key role in technological innovation while creating value for the organisation through your leadership, scientific expertise and ability to collaborate with stakeholders.
Your job
- Lead, coach and grow a multidisciplinary team of artificial intelligence and machine learning scientists.
- Define and implement the strategic roadmap for artificial intelligence and machine learning initiatives.
- Collaborate with business stakeholders to transform needs into concrete, measurable solutions.
- Oversee the development, deployment and monitoring of robust and scalable models and algorithms.
- Ensure scientific rigour, reproducibility and application of ethical practises in artificial intelligence.
- Represent the team in executive forums and cross-sector initiatives.
Your team
The Vice-President - Data and Analytics brings together a team of passionate specialists who work in an agile and collaborative way to transform data into drivers of growth and innovation. We combine scientific expertise, entrepreneurial spirit and collaboration to create high-value-added solutions.
In the Data sector, you will be part of a centralised team dedicated to artificial intelligence and machine learning. You will report to a Senior Manager and collaborate with colleagues from a variety of backgrounds to develop innovative projects across the organisation. We offer a stimulating, open and knowledge-sharing environment.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
- Master's or doctorate degree in computer science, artificial intelligence, machine learning or related field.
- Minimum of 8 years of experience in artificial intelligence and machine learning
- Experience in team management
- Experience delivering AI solutions with a measurable impact on business
- Experience with cloud platforms, MLOps practises and deployment in production.
- Excellent communication and stakeholder management skills
Senior Director - Data science AI
Posted today
Job Viewed
Job Description
A career as Senior Director - Data Science Artificial Intelligence on the Data team at National Bank will help define the AI and machine learning strategy and deliver concrete, high-impact solutions. This position allows you to play a key role in technological innovation while creating value for the organisation through your leadership, scientific expertise and ability to collaborate with stakeholders.
Your job
- Lead, coach and grow a multidisciplinary team of artificial intelligence and machine learning scientists.
- Define and implement the strategic roadmap for artificial intelligence and machine learning initiatives.
- Collaborate with business stakeholders to transform needs into concrete, measurable solutions.
- Oversee the development, deployment and monitoring of robust and scalable models and algorithms.
- Ensure scientific rigour, reproducibility and application of ethical practises in artificial intelligence.
- Represent the team in executive forums and cross-sector initiatives.
Your team
The Vice-President - Data and Analytics brings together a team of passionate specialists who work in an agile and collaborative way to transform data into drivers of growth and innovation. We combine scientific expertise, entrepreneurial spirit and collaboration to create high-value-added solutions.
In the Data sector, you will be part of a centralised team dedicated to artificial intelligence and machine learning. You will report to a Senior Manager and collaborate with colleagues from a variety of backgrounds to develop innovative projects across the organisation. We offer a stimulating, open and knowledge-sharing environment.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
- Master's or doctorate degree in computer science, artificial intelligence, machine learning or related field.
- Minimum of 8 years of experience in artificial intelligence and machine learning
- Experience in team management
- Experience delivering AI solutions with a measurable impact on business
- Experience with cloud platforms, MLOps practises and deployment in production.
- Excellent communication and stakeholder management skills
Senior Director - Data science AI
Posted today
Job Viewed
Job Description
A career as Senior Director - Data Science Artificial Intelligence on the Data team at National Bank will help define the AI and machine learning strategy and deliver concrete, high-impact solutions. This position allows you to play a key role in technological innovation while creating value for the organisation through your leadership, scientific expertise and ability to collaborate with stakeholders.
Your job
Lead, coach and grow a multidisciplinary team of artificial intelligence and machine learning scientists.
Define and implement the strategic roadmap for artificial intelligence and machine learning initiatives.
Collaborate with business stakeholders to transform needs into concrete, measurable solutions.
Oversee the development, deployment and monitoring of robust and scalable models and algorithms.
Ensure scientific rigour , reproducibility and application of ethical practises in artificial intelligence.
Represent the team in executive forums and cross-sector initiatives.
Your team
The Vice-President - Data and Analytics brings together a team of passionate specialists who work in an agile and collaborative way to transform data into drivers of growth and innovation. We combine scientific expertise , entrepreneurial spirit and collaboration to create high-value-added solutions.
In the Data sector, you will be part of a centralised team dedicated to artificial intelligence and machine learning. You will report to a Senior Manager and collaborate with colleagues from a variety of backgrounds to develop innovative projects across the organisation . We offer a stimulating, open and knowledge-sharing environment.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise . Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
Master's or doctorate degree in computer science, artificial intelligence, machine learning or related field.
Minimum of 8 years of experience in artificial intelligence and machine learning
Experience in team management
Experience delivering AI solutions with a measurable impact on business
Experience with cloud platforms, MLOps practises and deployment in production.
Excellent communication and stakeholder management skills
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family. * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're putting people first We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees. We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team? Come live your ambitions with us!
Winter Co-op 2026 - Data Science
Posted today
Job Viewed
Job Description
At Manulife John Hancock, we believe in investing in the future - starting with you. Our Co-op/Intern Program is your launchpad to success, offering the support, structure, and exciting opportunities you need to thrive and make your mark.
You will work on a variety of analytics projects with different use cases, contributing to the team of data scientists. The scope of the projects includes data collection, preprocessing, analysis, and model development. You will also contribute to creating actionable insights and project deliverables that benefit our team and the organization. Through these tasks, the co-op/intern will gain hands-on experience in applying advanced analytical methods to real-world problems.
Our co-op program offers more than just experience; you'll join a vibrant community, participate in engaging events, receive competitive compensation with exam study support, benefit from personalized mentorship, and access into Canada's largest actuarial network.
**Position Responsibilities:**
+ Key tasks involve exploring datasets, developing machine learning models using traditional ML techniques and generative AI methodologies, and validating and tuning these models to ensure accuracy and robustness.
+ Specifically, the intern will use Python for coding and leverage Azure cloud services for data storage, processing, and model deployment.
+ Deliver well-documented machine learning models, comprehensive data analysis reports, and organized code repositories.
+ Prepare and present findings to the team and stakeholders.
+ Contribute to improving existing processes and tools.
+ Develop enhanced analytical skills, proficiency in traditional ML and GenAI methodologies.
+ Improve collaboration and communication skills by working closely with our data science team.
**Required Qualifications:**
+ Currently pursuing a master's degree in Statistics, Computer Science, Data Science, Math, or related fields.
+ Excellent coding skills using Python.
+ Problem-solving abilities, teamwork, communication skills, and project management experience, all essential for a successful career in data science and machine learning.
**Preferred Qualifications:**
+ Familiarity with tools like Jupyter Notebooks, pandas, scikit-learn, TensorFlow, Databricks, and Azure Machine Learning Studio.
+ Ability to demonstrate skills effectively in real-world projects.
**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.
+ As part of our co-op program, you will gain early access to Manulife John Hancock's premier early talent program, GRO, tailored to graduating students! This program is designed to launch your career with the support, structure, and opportunities you need to thrive.
**Application instructions:**
+ Submit your resume, cover letter, academic transcript, and work term evaluation (if any) in one PDF file.
+ Note: Applications are reviewed on a rolling basis.
#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 .
**Semana de Trabajo Comprimida**
Data Science Intern, Algorithms (Summer 2026)
Posted 4 days ago
Job Viewed
Job Description
Lyft's Data Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment.
We are hiring for a variety of Data Science interns, focusing on the following specialties:
**Optimization:** Construct and fit statistical or optimization models that facilitate automated decision making in the app.
**Machine Learning:** Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment.
**Inference:** Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems.
You will report into a Science Manager.
**Responsibilities:**
+ Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
+ Perform exploratory data analysis to gain a deeper understanding of the problem
+ Write production modeling code; collaborate with software engineers to implement algorithms in production
+ Design and run both simulated and live traffic experiments
+ Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions
**Experience:**
+ **Currently pursuing a Masters or PhD degree at a university in Canada (required)** in mathematical sciences ( **Operations Research, Computer Science, Statistics** , Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; AND with **a graduation date between December 2026 and June 2027 (required)**
+ Available during **Summer 2026** for an internship in Toronto
+ Experience coding in **Python (required)** or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras)
+ Experimental design and analysis
+ Exploratory data analysis
+ Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling
+ Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation
**Benefits:**
+ Mental health benefits
+ In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
+ 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._ _#Hybrid_
_The expected base pay range for this position in the Toronto area is $45-$48/hour CAD. 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._
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Data Science, AI, and Machine Learning Lead
Posted 5 days ago
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**Position Title:** Data Science, AI, and Machine Learning Lead
**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.
Sanofi's mission is to chase the miracles of science to improve people's lives. Sanofi is a company that's on the rise. We are expanding in multiple directions, across borders and, most of all, in the way we think. At Sanofi, we're building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success.
Sanofi's General Medicines Digital Healthcare Team seeks a skilled and driven Data Science, AI, and Machine Learning (ML) Lead to drive and support the development and launch of innovative digital care and life management programs targeting diabetes and other chronic conditions. We are building a comprehensive digital health platform that empowers patients with chronic conditions and their informal caregivers to manage health journeys more effectively together. Our platform combines multiple modular services into a seamless ecosystem that bridges the gap between clinical care and daily life management.
As a Data Science, AI, and ML Lead on Sanofi's General Medicines Digital Healthcare Team, you will play a crucial role in leading the technical design and development of the data management, advanced analytics, and AI/ML capabilities of our consumer-centric digital health platform. In this role, you will leverage advanced mathematical and statistical methodologies to extract meaningful insights from diverse data sources, develop predictive models, and create AI-driven solutions that improve health outcomes and overall quality of life for patients with chronic conditions and their caregivers.
Your role will also involve the development of secure and scalable platforms to support the efficient management of increasingly large and complex volumes of clinical and non-clinical data, including the implementation of systems for efficient federated data management as well as federated learning. This role requires strong data engineering and software development expertise combined with an understanding of healthcare data standards and privacy and security requirements.
You will ultimately be responsible for the development and implementation of consumer-centric and healthcare professional-focused digital tools aimed at enhancing medication adherence and achieving optimal health outcomes. This role requires strong leadership, project management, cross-functional collaboration, and technical expertise to ensure successful delivery of initiatives while optimizing program performance and alignment with business objectives.
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:**
+ Lead the development and implementation of the data science, AI, and machine learning capabilities for our consumer-centric digital health platform, aligning with business objectives and consumer needs.
+ Lead the technical design and development of federated data management and federated learning systems to support scalability of our digital health platform and to support patient ownership and control of healthcare data.
+ Design and apply complex mathematical models and statistical methods to analyze datasets that include multi-modal clinical data (including patient-reported outcomes, remote patient monitoring device data, EHR data, and claims data), social determinants of health data, and consumer behavior data.
+ Develop data engineering architectures and systems to ensure data quality, governance, and interoperability.
+ Create predictive models to identify health and wellness risks, recommend interventions, and personalize care journeys.
+ Develop innovative approaches to support patients, informal caregivers, and other individuals through data-driven health and wellness insights and tools.
+ Design and implement AI-based agents and chatbots to enhance consumer engagement and to improve efficiency and productivity of care management and administrative team members.
+ Perform feature engineering and selection to optimize model performance and extract meaningful insights from complex datasets, and develop automated feature engineering pipelines to ensure scalability and reproducibility.
+ Rigorously evaluate and validate machine learning models using appropriate metrics and techniques, ensuring robustness, generalizability, and clinical relevance, and establish best practices for model validation, including the use of held-out datasets, cross-validation, and external validation.
+ Collaborate with product, engineering, clinical, and behavioral science teams to develop actionable insights and intelligent features within patient- and caregiver-facing digital tools.
+ Stay current with emerging research and technologies in data science, AI, and machine learning, and explore new methodologies and technologies to enhance our platform's capabilities.
**About You**
**Education and Experience**
+ Advanced degree (MS or PhD) in Computer Science, Engineering, Statistics, Applied Mathematics, Biostatistics, or related field.
+ 8+ years of experience in developing data management systems for large volumes of data and applying complex mathematical and statistical methods to real-world problems.
+ 2+ years of experience in developing data science, analytics, and AI/ML solutions.
+ Proven track record developing and deploying machine learning models in production environments.
+ Experience in Python, R, or similar languages, and experience with ML frameworks (TensorFlow, PyTorch).
**Preferred:**
+ Experience with natural language processing, computer vision, or time-series analysis.
+ Experience with healthcare data and analytics, or experience developing healthcare technology and applications.
+ Understanding of healthcare data standards and healthcare workflows
**Professional Skills / Competencies**
+ Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
+ Work effectively in a matrixed organization, influencing stakeholders without direct authority.
+ Strong negotiation, collaboration, and influence management skills.
+ Excellent communication skills to articulate clinical concepts and rationale to stakeholders.
+ Comfortable with ambiguity and adaptable to complex and dynamic situations.
+ Multicultural awareness to enable collaboration with diverse, global teams.
+ Passionate about improving access to care and healthcare experiences.
**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:
$121,000.00 - $74,800.00
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:
121,000.00 - 174,800.00
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 (