Data Scientist

We are looking for an experienced Data Scientist to design and analyze A/B tests and causal inference studies. You will work with cross‑functional teams to generate insights, improve business decisions, and build scalable experimentation solutions using advanced statistical methods.

• Design and execute A/B tests and geo experiments.
• Analyze data using statistical and causal inference techniques.
• Build scalable experimentation and analytics solutions.
• Develop statistical models and machine learning solutions.
• Perform sample size calculations, power analysis, and experiment evaluation.
• Present findings and recommendations to business stakeholders and leadership.
• Collaborate with cross‑functional teams to solve business problems.
• Mentor team members and promote best practices in experimentation.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• 7+ years of experience in experimentation, causal inference, or data science.
• Strong knowledge of A/B testing, experimental design, and statistical modeling.
• Experience with causal inference methods such as Difference-in-Differences, Propensity Score Matching, and Instrumental Variables.
• Proficiency in Python and/or R.
• Experience with machine learning libraries such as scikit-learn or LightGBM (LGBM).
• Strong analytical, problem‑solving, and communication skills.

• Master's or PhD in a quantitative field.
• Experience with ETL processes and data engineering.
• Familiarity with Databricks, Snowflake, Jupyter, and Git Hub.
• Experience deploying data science solutions in production.
• Strong leadership and stakeholder management skills.

Equal Opportunity Employer, including disabled and veterans.