Data and AI - Data Scientist (Catalyst)

Toronto, Canada

Sanofi

Sanofi pushes scientific boundaries to develop breakthrough medicines and vaccines. We chase the miracles of science to improve people’s lives.

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R2783604  Data and AI - Data Scientist (Catalyst)

Department: Commercial Data Science 

Location: Toronto Ontario, Hybrid

About the Job

Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide.

Data and AI – Data Scientist (Catalyst) in our Corporate Functions, Digital Data Hub, the role includes translating business strategy into digital, technology, AI and ways of working strategies, driving the business forward. The Digital Strategic Partnerships team is a key group within the Digital Strategy & Operations organization of Sanofi Digital, a global enabling function within Sanofi focused on digital growth and transformation. The mission of Digital Partnering is to seek, execute, and establish partner relationships that address the Sanofi Group’s digital strategic priorities. You’ll join as one of four role types in the Sanofi Data and AI Future Catalyst Program - a 2-year program that will provide you with an unparalleled opportunity to try different projects and learn about our different pharmaceutical business domains.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

  • Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization across various analytics projects

  • Develop models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies

  • Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models

  • Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products

  • Work closely with product owners, developers, engineers, and MLOps to deliver AI/ML solutions

  • Adhere to and promote to best practices and standards for data science process (including documentation) and code developments

  • Remains up to date with industry practices and emerging technologies such as generative AI and test creative ways of offering AI solutions to enhance existing solutions

About You:

  • Experience: Preferable have prior experience as a data scientist through co-op or internship programs

  • Soft and technical skills:

  • Good exposure with core data science languages (predominantly with Python, and nice to have R & Scala), Snowflake and other different database systems (such as SQL, NoSQL)

  • Understand the deployment of AI/ML solutions (CI/CD, Orchestration)

  • Knowledge and some experience of working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutions

  • Knowledge of Tableau, Power BI, Plotly, git/version control systems or similar

  • Nice to have experience in using some data science tools such as datarobot, dataiku, Alteryx

  • Education: PhD in computer science, mathematics, physics, statistics or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with two years of analytical experience

Why choose us?

  • AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

  • Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

  • World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

Pursue Progress. Discover Extraordinary.

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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
 

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

This is an ADDITTION ​

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-SP ​
#LI-SP                    

#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!

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile AWS Azure CI/CD Computer Science Data analysis Data management DataRobot Deep Learning GCP Generative AI Git Machine Learning Mathematics MLOps NLP NoSQL Pharma PhD Physics Plotly Power BI Python R Scala Snowflake SQL Statistics Tableau

Perks/benefits: Career development Equity / stock options Team events

Region: North America
Country: Canada

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