Measurement Framework Scientist - Causal Inference

Ampcus, Inc; Pleasanton (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A global technology consulting firm in Pleasanton, CA is looking for a Measurement Framework Developer - Data Scientist. This role involves developing scalable frameworks for statistical and causal inference, applying various methodologies like A/B testing, and writing clean, reproducible code. Ideal candidates will have strong expertise in Python, SQL, and statistical libraries. Join a talented team focused on innovative enterprise solutions in a supportive environment.

Qualifications

• Strong expertise in statistical inference and causal analysis.
• Proficient in Python and SQL, with experience in relevant libraries.
• Self-starter with the ability to work independently.

Responsibilities

• Design and implement measurement frameworks for solutions in production.
• Apply statistical inference and causal methods.
• Develop and analyze controlled experiments and observational studies.

Skills

Statistical inference

Causal analysis

Hypothesis testing

Python

SQL

A/B testing

Tools

statsmodels

scikit-learn

DoWhy

Databricks

Job description

A global technology consulting firm in Pleasanton, CA is looking for a Measurement Framework Developer - Data Scientist. This role involves developing scalable frameworks for statistical and causal inference, applying various methodologies like A/B testing, and writing clean, reproducible code. Ideal candidates will have strong expertise in Python, SQL, and statistical libraries. Join a talented team focused on innovative enterprise solutions in a supportive environment.