Growth Data Scientist - Causal Inference

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

12 observed holidays with discretionary paid time off

18 weeks of paid parental leave

Monthly Lyft credits

Complimentary Lyft Pink membership

Job summary

Lyft is seeking a Data Scientist expert in causal inference and marketing mix models in New York City. You will lead efforts to measure and optimize investments across marketing channels, delivering results for Growth.

Responsibilities include building statistical pipelines, participating in on-call rotations, and owning complex domains. Candidates should have an advanced degree in a related field and experience in data science.

Lyft offers a hybrid work model and competitive benefits, including health insurance and paid parental leave.

Qualifications

• 4+ years of industry experience in causal inference or data science.
• Proven ability to apply statistics to unstructured problems.
• Expertise in SQL and experience with large-scale data platforms.

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 modeling

SQL

Python

Statistics

Data analysis

Education

Advanced degree in statistics, economics or mathematics

Job description

Lyft is seeking a Data Scientist expert in causal inference and marketing mix models in New York City. You will lead efforts to measure and optimize investments across marketing channels, delivering results for Growth.

Responsibilities include building statistical pipelines, participating in on-call rotations, and owning complex domains. Candidates should have an advanced degree in a related field and experience in data science.

Lyft offers a hybrid work model and competitive benefits, including health insurance and paid parental leave.