Measurement Framework Developer – Data Scientist (Statistical & Causal Inference)

Ampcus Inc. • Pleasanton, CA

3d • Onsite

About The Position

We are looking for a Data Scientist with strong expertise in statistical inference and causal analysis to develop measurement frameworks for enterprise solutions. This role is ideal for someone passionate about designing experiments, applying causal inference methods, and building scalable frameworks to measure impact.

Requirements

• Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques.
• Proficiency in Python and SQL; experience with libraries like statsmodels, scikit-learn, DoWhy, linearmodels.
• Experience with A/B testing and experimental design.
• Familiarity with Databricks or similar enterprise cloud environments.
• Self-starter with an ownership mindset and ability to work independently.

Nice To Haves

• Experience in retail, inventory management, or operations research.
• Exposure to cloud platforms (Azure, AWS, GCP).

Responsibilities

• Design and implement measurement frameworks for solutions in production.
• Apply statistical inference and causal methods (e.g., A/B testing, propensity score matching, instrumental variables).
• Develop and analyze controlled experiments and observational studies.
• Collaborate with stakeholders to define KPIs and measurement strategies.
• Write clean, reproducible code for statistical analysis and reporting.
• Implement CI/CD principles and manage code repositories using GitHub Enterprise.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed