Staff Data Scientist, Decisions - Partnership, Loyalty & Pay

Lyft

Hybrid Actively hiring Posted this week Verified listing
New York, NY Posted 2 days ago $176,000–$220,000 / year
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At a glance

AI generated

TL;DR

As a Staff Data Scientist on Lyft's Partnership, Loyalty & Pay (PLP) team within Rider, you will work in a fast-paced environment to drive data-driven decision-making and product development. Your responsibilities include shaping the team’s data science roadmap, collaborating with cross-functional teams like product, engineering, and design to initiate and scale new programs, and applying advanced analytics and causal inference techniques such as A/B testing and quasi-experimental methods to inform business strategy. You will also mentor junior team members, lead code reviews, and maintain high technical standards. The role requires expertise in Python and SQL, a strong background in causal inference and machine learning, and the ability to communicate complex scientific insights effectively to executive stakeholders. This position is integral to addressing rider and partner needs while balancing business objectives at scale.

Skills

Python SQL A/B testing difference-in-differences synthetic control quasi-experimental methods machine learning data analysis code reviews causal inference mentoring communication skills product sense measurement frameworks counterfactual analysis technical systems influence

What you'll do

  • Drive data science roadmap and set priorities for Partnership, Loyalty & Pay teams.
  • Apply causal inference techniques to shape product vision and business decisions.
  • Define key objectives and metrics to align with Rider and Marketplace goals.
  • Design and scale zero-to-one programs in partnership with cross-functional teams.
  • Provide technical guidance and mentorship to junior team members on projects.

What we're looking for

  • 6+ years of professional data science experience with tangible business impact
  • Expertise in causal inference, machine learning, and experimental design
  • Technical proficiency in Python and SQL for data analysis and modeling
  • Ability to craft sophisticated measurement frameworks and conduct advanced experimentation
  • Strong product sense and practical application of various causal methodologies
  • Experience driving cross-functional alignment and influencing technical systems
  • Proven ability to manage ambiguous problem spaces and develop structured scientific roadmaps

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $198k
$113k most similar roles pay here $232k

This role pays more than 69% of similar roles. Most pay $135,000–$214,500 — the shaded band above. At the midpoint, this role pays about $198k 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 31 open roles on FindRole.

Listed pay typically runs $148,000–$185,000 across 31 roles with salary data.

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