To drive user and revenue growth by building and improving systems through data-driven insights and product strategy.
Requirements
- Expertise in querying relational databases (SQL)
- Expertise in programming languages (e.g., R / Python)
- Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques
- Experience with data science tools and technologies
- Strong technical communication / data storytelling skills
Responsibilities
- Develop action-oriented insights to drive product strategy through observational causal analysis and experiment meta-analysis
- 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
- 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
- Minimum of 2+ years of industry data science experience required (if PhD degree), or 4+ years of industry data science experience required (if M.S. or Bachelors degree)
- Strong business acumen and excellent cross-functional stakeholders management skills
- Comfortable in innovative and fast-paced environments, and a bias toward action
