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Data Science Lead

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Sanofi

Oct 12

  • Job
    Full-time
    Mid & Senior Level
  • Science
    Data
  • Toronto
  • Quick Apply

AI generated summary

  • You need a Ph.D. or Master’s in a relevant field, 3-5 years in AI/machine learning, strong Python skills, big data experience, and proven leadership in data science projects.
  • You will lead data science projects, develop AI/ML models, mentor junior staff, ensure data integrity, collaborate with teams, and communicate updates while staying current with industry advancements.

Requirements

  • Ph.D. or Master’s degree in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related field.
  • 3-5 years of industry experience in AI, machine learning, and large language models (LLMs).
  • Proven track record of leading data science projects and teams.
  • Strong programming skills in Python and experience with relevant libraries and frameworks (PyTorch, scikit-learn, etc.).
  • Experience with big data technologies (Hadoop, Spark) and data processing tools.
  • Excellent problem-solving and analytical skills.
  • Strong communication and leadership abilities.

Responsibilities

  • Provide technical leadership and direction to the data science team.
  • Collaborate with the project lead to define project goals and strategies.
  • Design, develop, and implement AI and machine learning models to support our information retrieval engines for diverse molecular and imaging data types.
  • Lead the development and optimization of large language models (LLMs) for various applications within the project.
  • Mentor and guide junior data scientists and team members.
  • Ensure the quality and integrity of data processing and analysis.
  • Work closely with data engineers, bioinformaticians, and developers to integrate AI/ML solutions into the overall project architecture.
  • Communicate technical concepts and project updates to stakeholders and team members.
  • Stay up-to-date with the latest advancements in AI, ML, and bioinformatics to ensure the project utilizes cutting-edge techniques and technologies.

FAQs

What is the job title for this position?

The job title is Data Science Lead.

Where is the job located?

The job is located in Toronto, ON.

What qualifications are required for this role?

A Ph.D. or Master’s degree in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related field is required.

How many years of industry experience are needed for this position?

3-5 years of industry experience in AI, machine learning, and large language models (LLMs) are needed.

What programming skills are necessary for this role?

Strong programming skills in Python and experience with relevant libraries and frameworks such as PyTorch and scikit-learn are necessary.

Is experience with big data technologies required?

Yes, experience with big data technologies such as Hadoop and Spark, as well as data processing tools, is required.

Will the Data Scientist Lead be responsible for mentoring others?

Yes, the Data Science Lead will mentor and guide junior data scientists and team members.

What are the main responsibilities of this position?

Main responsibilities include providing technical leadership, collaborating on project goals, developing AI and machine learning models, mentoring team members, and ensuring data integrity.

Is there an emphasis on diversity and inclusion at Sanofi?

Yes, Sanofi is committed to diversity and inclusion and welcomes applications from all qualified applicants.

Does Sanofi offer benefits for employees and their families?

Yes, Sanofi offers a wide range of health and wellbeing benefits, including high-quality healthcare and at least 14 weeks of gender-neutral parental leave.

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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.