Senior Data Scientist, Causal Inference & MMM (Hybrid)

Lyft; Seattle (WA); Hybrid; USD 136,160 - 170,240; Full time

Benefits offered by this job

Great medical, dental, and vision insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) plan with company match

Discretionary paid time off

18 weeks of paid parental leave

Subsidized commuter benefits

Monthly Lyft credits

Job summary

Lyft is searching for a Data Scientist specializing in causal inference and marketing mix models to optimize investments across marketing channels. The role involves delivering results from defining problems to deploying models that impact the business.

The ideal candidate will have an advanced degree, over 4 years of experience in data science, and proficiency in SQL and Python. Lyft offers competitive medical benefits, 401(k) matching, and a hybrid work schedule requiring in-office presence three days a week.

Qualifications

• 4+ years of industry experience in causal inference or data science.
• Proven ability to apply statistics to unstructured problems and deliver measurable results.
• Deep technical expertise in causal inference and tackling challenging measurement problems.

Responsibilities

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

Skills

Causal inference

Marketing mix modeling

SQL

Python

Statistics

Education

Advanced degree in statistics, economics, mathematics

Tools

Large-scale data platforms

Job description

Lyft is searching for a Data Scientist specializing in causal inference and marketing mix models to optimize investments across marketing channels. The role involves delivering results from defining problems to deploying models that impact the business.

The ideal candidate will have an advanced degree, over 4 years of experience in data science, and proficiency in SQL and Python. Lyft offers competitive medical benefits, 401(k) matching, and a hybrid work schedule requiring in-office presence three days a week.