Senior Data Scientist: Causal Inference & MMM - Hybrid+Equity

Lyft; New York (NY); Hybrid; USD 148,000 - 185,000; Full time

Benefits offered by this job

Great 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 New York City to lead efforts in measuring and optimizing marketing investments. The ideal candidate has an advanced degree and expertise in causal inference, marketing mix modeling, and data science.

You will be responsible for delivering data science solutions and building statistical pipelines. This hybrid role offers flexibility, requiring in-office work three days a week, with 18 weeks of paid parental leave and comprehensive benefits.

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 and measurement.

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.
• Participate in the science on-call rotation.

Skills

Causal inference

Marketing mix modeling

SQL

Python

Statistics

Data science

Education

Advanced degree in statistics, economics, mathematics, or equivalent

Job description

Lyft is seeking a Data Scientist in New York City to lead efforts in measuring and optimizing marketing investments. The ideal candidate has an advanced degree and expertise in causal inference, marketing mix modeling, and data science.

You will be responsible for delivering data science solutions and building statistical pipelines. This hybrid role offers flexibility, requiring in-office work three days a week, with 18 weeks of paid parental leave and comprehensive benefits.