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

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title:Measurement Framework Developer Data Scientist (Statistical & Causal Inference)
Location(s):Pleasanton CA.


About the Role:

• 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.

• 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.

• 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.

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

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.