Reddit is looking to hire experienced Data Scientists to partner with cross-functional teams to build and improve systems that drive user and revenue growth. The role involves defining product strategy, improving experimentation practices, and enabling data accessibility for other teams.
Requirements
- 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
Responsibilities
- 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
Other
- Relevant experiences in quantitative or data science roles, preferably for a consumer-facing service/app
- Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 5+ years of industry data science experience required; If PhD degree, a minimum of 3+ years of industry data science experience required)
- 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
