Job Summary

Job Type


Years of Experience
At least 5 years

Tech Stacks

Job Description

  • Lead a team of Senior Data Analyst and Data Engineer to deliver the data strategy and deliverables linked to Digital Health.
  • Ensure the data generated by Digital Health projects are in adherence with our data strategy, including responsibility for data flows, data quality and data governance.
  • Be accountable for the deliverables linked to data generated with Digital health projects and represent the team.
  • Provide oversight and guidance to other data scientists/analysts on projects and ensure quality of deliverables.
  • As a Data Scientist, you will provide expert data science input and advice into projects across the digital health portfolio.
  • Build methodologies and standards to prepare, extract, and analyze different data variety of data sources.
  • Ensure data coming from our digital health tools (developed, to be developed or from collaborations) deliver pre-defined business and science impact.
  • Participate in all aspects of the digital health project lifecycle from requirements gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data driven solution.
  • Conduct hands-on data modelling and simulation, in close collaboration with colleagues in the data teams
  • Be able to organize, manage, and analyze varied and large data sets, then connect dots and identify solutions and suggestions that can help our team reach its goals.
  • Conduct open-ended data exploration to evaluate and solve business/science problem or create new opportunities.
  • Select KPIs and evaluate success.
  • Be a connector between data, business and science teams
  • Converting data into digestible bites that non-technical members of an organization can understand
  • Be a partner to interpret data into tangible health outcomes or other KPIs
  • Creating reports and dashboards so that findings are accessible to management
  • Understanding the functions and systems within our organization and using data findings to support decision-making
  • Advise our Countries Business Units in data methods whenever appropriate
  • Connect within data teams within Danone to learn and share, be part of the data community.
  • Experienced Data Scientist (Minimally 5 years) in building predictive or descriptive models with ability to measure success and impact.
  • Experience in life science industries, specifically expertise or exposure to research study design methods in either a consumer or clinical setting, is highly appreciated.
  • Highly computer literate, and proficient in either R or Python
  • Experience with distributed computing principles and techniques.
  • Experience writing and speaking about technical concepts to business, technical, and high-level audiences and giving data-driven presentations
  • Mastery of machine learning toolkits and libraries (Tensorflow, etc.)
  • Purpose-driven person, who wants to contribute to Danone Mission to positively impact health.

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