Staff Data Scientist — Experimentation & Causal Inference

Experimentation Jobs; San Mateo (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology firm is seeking a Staff Data Scientist to design and interpret A/B tests and quasi-experiments with advanced causal inference methods. This role involves partnering with product, engineering, and marketing teams to integrate experimentation into development cycles and share insights. You will also mentor other data scientists and establish best practices. This position offers an exciting opportunity to influence product decisions and drive impact across the organization.

Qualifications

• Experience in designing and interpreting A/B tests and quasi-experiments.
• Strong knowledge of causal inference methods.
• Ability to mentor and guide other data scientists.

Responsibilities

• Design, execute, and interpret A/B tests using advanced methods.
• Partner with product, engineering, and marketing teams.
• Mentor data scientists and define best practices.

Job description

A leading technology firm is seeking a Staff Data Scientist to design and interpret A/B tests and quasi-experiments with advanced causal inference methods. This role involves partnering with product, engineering, and marketing teams to integrate experimentation into development cycles and share insights. You will also mentor other data scientists and establish best practices. This position offers an exciting opportunity to influence product decisions and drive impact across the organization.