Identify, scope, and deliver high-impact projects end-to-end, leveraging the right resources and partners
Proactively coordinate and collaborate with stakeholders to maximize the impact and adoption of your work
Clearly communicate insights and business implications to audiences ranging from technical to executive, using the right level of complexity and narrative to influence decisions and roadmaps
Develop frameworks and measurement approaches that make complex marketplace and product questions intuitive and actionable
Apply rigorous analytical and causal inference methods (e.g., experimentation, quasi-experimental designs, forecasting/measurement) balancing rigor with practical constraints (time, complexity, marginal value)
Own and improve shared decision-making programs and infrastructure, such as experimentation practices, market-based testing, and impact measurement
Design, build, and maintain shared DS tooling and reusable assets (e.g., notebooks, libraries, training, standardized metrics, and key models that empower other teams)
Mentor other scientists/analysts and lead trainings/courses to raise the bar for scientific decision-making across the company

3+ years of professional experience in economics, analytics, or data science (e.g. in tech, consulting, government, etc)
Proficiency with empirical econometrics toolkit (experimentation; methods for causal inference such as IV; panel data methods; discrete models; etc)
Proficiency with SQL
Proficiency with R or Python, including strong data visualization skills
Strong communication skills: able to communicate complex methods in intuitive and simple ways, easily able to adapt messaging to fit the audience, able to identify/highlight key information
Ability to build strong relationships cross-functionally and with senior leadership
Proficiency with data wrangling and organizing data for different models or analyses; and organized workflows and project management skills

Senior Data Scientist

Key skills