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Data and AI - Data Scientist (Catalyst)

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Sanofi

10d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Toronto

AI generated summary

  • You should have data science experience, proficiency in Python, exposure to cloud environments (AWS, GCP), and knowledge of SQL/NoSQL, CI/CD, and data visualization tools. Advanced degree required.
  • You will apply data science techniques, develop and optimize machine learning models, collaborate with teams, visualize data, and stay updated on emerging AI technologies while promoting best practices.

Requirements

  • 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

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

FAQs

What is the location of the Data Scientist (Catalyst) position?

The position is located in Toronto, Ontario, and is hybrid.

What department is this role part of?

This role is part of the Commercial Data Science department.

What is the purpose of the Data and AI Future Catalyst Program?

The Data and AI Future Catalyst Program is a 2-year program designed to provide participants with the opportunity to work on different projects and learn about various pharmaceutical business domains.

What are the key responsibilities of the Data Scientist (Catalyst)?

Key responsibilities include applying data science expertise, developing models and algorithms, conducting machine learning experiments, delivering production-ready models, and collaborating with various stakeholders to deliver AI/ML solutions.

What educational qualifications are required for this position?

A PhD in computer science, mathematics, physics, statistics, or a related quantitative discipline with strong coding skills is preferred, or a Master’s Degree in a relevant domain with two years of analytical experience.

What programming languages should candidates be proficient in?

Candidates should have good exposure to core data science languages, predominantly Python, with nice-to-have knowledge in R and Scala.

Are there any specific tools or technologies that candidates should be familiar with?

Yes, familiarity with Snowflake, database systems (SQL, NoSQL), cloud platforms (AWS, GCP, Azure), data visualization tools (Tableau, Power BI), version control systems (git), and data science tools (such as DataRobot, Dataiku, Alteryx) is advantageous.

Is there an opportunity for mentorship in this role?

Yes, the position offers world-class mentorship and training by renowned leaders and academics in the field of machine learning.

Does Sanofi value diversity and inclusion in its workforce?

Yes, Sanofi is committed to diversity and inclusion, and aims to attract, develop, and retain employees from diverse backgrounds.

Are accommodations available for applicants with disabilities during the recruitment process?

Yes, accommodations for persons with disabilities required during the recruitment process are available upon request.

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Sanofi

Science & Healthcare
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.