Data Science Manager, Mapping

Lyft

Hybrid Actively hiring Verified listing
San Francisco, CA Posted 85 days ago $176,000$220,000 / year

At a glance

AI generated

TL;DR

As a Data Science Manager at Lyft, you will lead and grow a team of data scientists focused on enhancing mapping products and making business decisions that prioritize customer needs. Your daily tasks include identifying opportunities for improvement, designing experiments, and measuring the impact of new features while collaborating closely with engineering teams. Key responsibilities involve providing technical guidance, mentoring team members, and ensuring robust methodologies are applied to evaluate feature success. The role requires expertise in statistics, experimental design, and causal inference, along with strong data storytelling skills. You will work within Lyft’s advanced technology stack, including AWS, Kubernetes, and Apache Airflow, tackling challenges such as optimizing route efficiency and enhancing mapping accuracy for millions of users daily.

Skills

AWS Kubernetes Apache Airflow Python SQL Spark R Machine Learning Causal Inference A/B Testing Multivariate Testing Incremental Lift Measurement Data Storytelling Experimentation Methodologies CI/CD

What you'll do

  • Lead a team of data scientists to improve mapping accuracy and navigation efficiency.
  • Define and execute the data science strategy aligned with business objectives.
  • Provide technical guidance on complex real-time decision-making problems.
  • Champion data-driven decision-making by partnering with cross-functional teams.
  • Conduct deep analyses to identify opportunities for improving product health.
  • Ensure robust methodologies are used to measure new feature impacts.
  • Mentor team members, guiding their professional and technical development.

What we're looking for

  • Advanced degree (MS or PhD) in a quantitative field like Operations Research, Computer Science, Statistics, Engineering, or related area
  • 5+ years hands-on experience in experimentation, causal inference, data science with real-time systems or marketplace dynamics
  • 2+ years management experience building, leading, and mentoring data science teams
  • Strong expertise in statistics, experimental design, and causal inference including A/B testing and multivariate testing
  • Experience presenting insights and recommendations to senior leaders with strong data storytelling skills
  • Hands-on experience launching and monitoring consumer-facing products through data-driven experimentation and metrics analysis
  • Excellent communication and collaboration skills for articulating complex technical concepts to diverse audiences

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $157k
This role $198k
$84k most similar roles pay here $235k

This role pays more than 80% of similar roles. Most pay $126,800–$187,996 — the shaded band above. At the midpoint, this role pays about $198k versus about $157k 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.

Most-posted roles

View all roles at Lyft

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