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 issues. Your daily responsibilities include building statistical pipelines, writing production code, designing and analyzing experiments, and participating in a science on-call rotation for automated campaigns. The role requires deep technical expertise in causal inference and marketing mix modeling to solve complex measurement problems. You will utilize SQL, Python, and large-scale data platforms to drive rider and driver acquisition through incentive targeting, budget optimization, and paid media measurement. This position focuses on the specific domain of optimizing growth strategies and marketplace balance through advanced statistical applications.
What does a Data Scientist earn in New York?
Median $173200 from 33 postings across 13 companies.
Machine Learning
Python
R
SQL
Statistical Analysis
Data Pipelines
Feature Engineering
Experimentation
Causal Inference
Model Monitoring
Responsible AI
Advanced Analytics
Data Quality