This role pays less than
51%
of similar roles. Most pay
$137,362–$217,187
— the shaded band above.
At the midpoint, this role pays about
$166k
versus about
$177k
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.
As a Senior Data Scientist, Causal Inference on the Growth Products team, you will lead efforts to measure and optimize investments across various marketing channels. You will manage the entire lifecycle of data science solutions, from defining problems with cross-functional stakeholders to deploying production models that address key business challenges. Your daily work involves building statistical pipelines, writing production code, designing and analyzing experiments, and participating in a science on-call rotation for automated campaigns. To succeed, you must possess an advanced degree in statistics, economics, or mathematics, along with over four years of experience in causal inference. You will utilize SQL, Python, and large-scale data platforms to solve complex measurement problems. The role specifically focuses on marketing mix models to improve rider and driver acquisition while optimizing budget allocation and messaging targeting.
What does a Data Scientist earn in California?
Median $211329 from 80 postings across 29 companies.
Machine Learning
Python
R
SQL
Statistical Analysis
Data Pipelines
Feature Engineering
Experimentation
Causal Inference
Model Monitoring
Responsible AI
Advanced Analytics
Data Quality