Senior Data Scientist, Causal Inference & MMM - Hybrid

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

Benefits offered by this job

Great medical, dental, and vision insurance

401(k) plan with company match

18 weeks of paid parental leave

Monthly Lyft credits

Complimentary Lyft Pink membership

Job summary

Lyft is seeking a Data Scientist in New York to lead efforts in marketing mix modeling and causal inference. You will be responsible for delivering end-to-end data science solutions, developing long-term roadmaps, and building statistical pipelines.

Candidates should have 4+ years of experience and an advanced degree in a related field. Benefits include comprehensive health plans and a hybrid work model requiring three days in the office.

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, write production code, and design experiments.

Skills

Causal inference

Marketing mix modeling

SQL

Python

Statistical analysis

Data science solutions

Education

Advanced degree in statistics, economics, mathematics

Job description

Lyft is seeking a Data Scientist in New York to lead efforts in marketing mix modeling and causal inference. You will be responsible for delivering end-to-end data science solutions, developing long-term roadmaps, and building statistical pipelines.

Candidates should have 4+ years of experience and an advanced degree in a related field. Benefits include comprehensive health plans and a hybrid work model requiring three days in the office.