This role pays less than
67%
of similar roles. Most pay
$135,225–$214,937
— the shaded band above.
At the midpoint, this role pays about
$153k
versus about
$175k
for comparable roles.
Based on 240 similar postings.
Employer
About Lyft
Lyft is a transportation network company offering ride-hailing services across the US and Canada.
Lyft currently has
18 open roles
on FindRole.
Listed pay typically runs
$148,000–$185,000
across 14 roles with salary data.
Senior Data Scientist, Causal Inference joins the Growth Products team to drive rider and driver acquisition through incentive targeting, budget optimization, and paid media measurement. This role involves managing the entire lifecycle of data science solutions, from defining problems with cross-functional stakeholders to deploying production models that address key business challenges. The successful candidate will own complex domains, develop long-term roadmaps, build statistical pipelines, write production code, and design experiments while participating in a science on-call rotation for automated campaigns. Key technical requirements include expertise in causal inference, marketing mix modeling, SQL, and Python within large-scale data platforms. The role focuses on solving measurement problems to optimize investments across various marketing channels. Candidates should possess an advanced degree in statistics, economics, or mathematics along with significant experience applying statistics to unstructured problems.
What does a Data Scientist earn?
Median $162000 from 273 postings across 56 companies.
Machine Learning
Python
R
SQL
Statistical Analysis
Data Pipelines
Feature Engineering
Experimentation
Causal Inference
Model Monitoring
Responsible AI
Advanced Analytics
Data Quality