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.

• 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 Git Hub Enterprise.

• Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques.
• Proficiency in Python and SQL; experience with libraries like stats models, scikit-learn, DoWhy, linear models.
• 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.