Staff Data Scientist - Experimentation & Measurement
New
United StatesFull-TimeStaff
Salary212,200 - 318,200 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 6+ years of experience in data science with a focus on experimentation and causal inference (or 4+ with PhD)
- Required Skills
- PythonSQLData AnalysisA/B testing
Requirements
- Strong expertise in experimentation, causal inference, and applied statistical modeling in large-scale environments.
- 6+ years of experience in data science with a focus on experimentation and causal inference (or 4+ with PhD).
- Deep expertise in A/B testing, quasi-experimental methods, and statistical analysis.
- Proficiency in SQL and Python for data manipulation, analysis, and modeling.
- Strong understanding of statistical techniques and hypothesis-driven experimentation.
- Experience influencing product and business decisions through data-driven insights.
- Ability to communicate complex analytical results to both technical and non-technical audiences.
- Experience building or contributing to experimentation frameworks, tooling, or best practices.
- Master’s or PhD in Statistics, Economics, Econometrics, or related quantitative field preferred.
Responsibilities
- Lead experimentation strategy and execution across key initiatives to evaluate product and business impact.
- Design, execute, and analyze A/B tests, quasi-experiments, and causal inference studies.
- Develop robust measurement frameworks and define success metrics for experimentation programs.
- Partner with cross-functional teams to embed experimentation into product development and iteration cycles.
- Communicate findings clearly to technical and executive stakeholders to drive data-informed decisions.
- Contribute to centralized experimentation tools, frameworks, documentation, and best practices.
- Mentor and guide other data scientists, providing technical leadership and methodological rigor.
- Extract, transform, and analyze complex datasets using SQL, Python, and analytics tools.
View Full Description & ApplyYou'll be redirected to the employer's site
