Senior Data Scientist: Causal Inference & MMM (Hybrid)

Lyft; San Francisco (CA); Hybrid; USD 148,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Mental health benefits

401(k) plan with company match

18 weeks of paid parental leave

Monthly Lyft credits

Job summary

Lyft is seeking a Data Scientist in San Francisco to lead efforts in measuring and optimizing marketing investments. The role demands expertise in causal inference and marketing mix models, and involves delivering data science solutions across all lifecycle stages.

Candidates should have advanced degrees, technical skills in SQL and Python, and a solid background in data science. Lyft offers a hybrid working schedule and excellent benefits including comprehensive health coverage and a generous parental leave policy.

Qualifications

• 4+ years of industry experience in causal inference or data science.
• Proven ability to apply statistics to unstructured problems.
• Deep technical expertise in causal inference.

Responsibilities

• Deliver results across the entire lifecycle of data science solutions.
• Own complex domains and develop long-term roadmaps.
• Build statistical pipelines and write production code.

Skills

Causal inference

Marketing mix models

SQL

Python

Education

Advanced degree in statistics, economics, or mathematics

Tools

Large-scale data platforms

Job description

Lyft is seeking a Data Scientist in San Francisco to lead efforts in measuring and optimizing marketing investments. The role demands expertise in causal inference and marketing mix models, and involves delivering data science solutions across all lifecycle stages.

Candidates should have advanced degrees, technical skills in SQL and Python, and a solid background in data science. Lyft offers a hybrid working schedule and excellent benefits including comprehensive health coverage and a generous parental leave policy.