Role overview

Senior Data Scientist, Consumer

Requirements and responsibilities

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Details

  • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations
  • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests
  • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly
  • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact
  • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes
  • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making
  • Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
  • For M.S. holders: 5+ years of industry experience in applied science or data science roles
  • For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
  • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python)
  • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques
  • Comfortable in innovative and fast-paced environments, and a bias toward action
  • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike
  • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating
  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
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Browse stack
FocusConsumer Data ScienceRole area
Seniority signalSeniorCandidate level
StackPython, SQLPrimary skills
Location1 accepted countryEligibility

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