Responsibilities

• Translate / Interpret: Partner with cross-functional teams to translate business questions into rigorous causal inference problems
• Design observational studies and quasi-experiments to measure marketing effectiveness when traditional A/B tests are infeasible
• Work with data engineering to instrument new data pipelines when existing data cannot answer the causal question
• Measure / Quantify / Expand: Own and evolve production attribution models across multiple marketing channels
• Build and maintain causal inference pipelines using methods such as Difference-in-Differences, Synthetic Control, Double Machine Learning, and Media Mix Models
• Develop scalable PySpark and Python codebases that process large-scale event data
• Continuously improve model accuracy through feature engineering, heterogeneity analysis, and sensitivity testing
• Explore / Enlighten: Investigate anomalies in model outputs and deep-dive to identify root causes
• Develop automated data quality checks and model diagnostics
• Research and prototype next-generation measurement methods

Requirements

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data scientist experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Bachelor's degree
• Experience applying theoretical models in an applied environment

Preferred

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

Benefits

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.