Senior Data Scientist

EvenUp EvenUp · Vertical AI · Toronto, ON · Hybrid · Data Science

Senior Data Scientist role focused on translating complex healthcare and product data into actionable insights to drive strategy and business impact. Responsibilities include defining KPIs, planning annotation work, building analytical foundations, and mentoring analysts. Requires strong SQL, Python/R, statistical techniques, and ML experience.

What you'd actually do

  1. Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business priorities.
  2. Partner with Product, Engineering, and Operations teams to define KPIs.
  3. Work with the evaluation data team to plan short and long-term annotation work and define evaluation schemas.
  4. Communicate analysis results and outcomes clearly and tailor messaging based on the audience.
  5. Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools.
  6. Mentor other analysts and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the organization.

Skills

Required

  • SQL or similar big data querying languages
  • Python or R
  • applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
  • machine learning and statistical analysis for building data-driven product solutions or conducting methodological research
  • Exceptional verbal and written communication skills

Nice to have

  • Advanced degree in applied mathematics, statistics, actuarial science, economics or a related field
  • Experience in a product-focused role in the medical domain
  • Strong mentorship and leadership skills, with a track record of elevating scientific standards and developing junior talent across teams

What the JD emphasized

  • own analytical deep work end to end
  • rigorous, well-communicated analysis
  • define evaluation schemas
  • Experience using machine learning and statistical analysis for building data-driven product solutions or conducting methodological research

Other signals

  • translate complex healthcare and product data into clear, actionable insights that drive strategy and business impact
  • own analytical deep work end to end
  • influencing decisions through rigorous, well-communicated analysis
  • partner with Product, Engineering, and Operations teams to define KPIs
  • work with the evaluation data team to plan short and long-term annotation work and define evaluation schemas
  • help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools
  • mentor other analysts and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the organization
  • Experience using machine learning and statistical analysis for building data-driven product solutions or conducting methodological research