Data Science Manager, Machine Learning - Lyft Ads

Lyft

Hybrid Actively hiring Verified listing
New York, NY Posted 50 days ago $176,000–$220,000 / year
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At a glance

AI generated

TL;DR

As an Algorithms Science Manager at Lyft Ads, you will lead a team of Data Scientists, Applied Scientists, and Machine Learning Engineers to build the algorithmic backbone for the company's advertising platform. Your role involves shaping the technical vision and roadmap, developing algorithms and ML systems that enhance ad relevance and optimize yield, and collaborating with cross-functional teams to integrate these solutions into production environments. You will also establish robust experimentation frameworks to measure impact on advertiser outcomes and rider experience, ensuring data-driven decision-making across the organization. Ideal candidates have a PhD or Master's in a quantitative field, 8+ years of ML experience, and 3+ years of leadership experience with a focus on applied machine learning, causal inference, and statistical methodologies. Proficiency in tools like PyTorch, TensorFlow, and scikit-learn is essential, as is experience in advertising technology and media measurement.

Skills

Python PyTorch TensorFlow scikit-learn Kubernetes AWS CI/CD Docker PostgreSQL Spark MLOps Prometheus Grafana GitLab Jupyter SQL Linux Numpy Pandas

What you'll do

  • Lead a multi-disciplinary team to develop algorithms and ML systems for core advertising capabilities.
  • Define and execute technical vision and roadmap aligned with business strategy and revenue goals.
  • Partner with Product, Engineering, and Design teams to integrate solutions into production systems.
  • Establish experimentation frameworks to measure the impact of algorithmic changes on advertiser outcomes.
  • Conduct deep analyses of large-scale datasets to identify opportunities for revenue growth and user experience enhancement.

What we're looking for

  • Deep expertise in machine learning, optimization, and causal inference.
  • 8+ years of experience building and deploying algorithms in production systems.
  • Proven leadership in managing multi-disciplinary technical teams (3+ years).
  • Ability to set strategic vision and drive measurable business outcomes.
  • Strong understanding of ML engineering best practices for scalable solutions.
  • Experience in advertising technology, media measurement, or marketplace optimization.
  • Hands-on proficiency with large-scale data processing tools and frameworks.

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $198k
$118k most similar roles pay here $236k

This role pays more than 66% of similar roles. Most pay $135,000–$211,400 — the shaded band above. At the midpoint, this role pays about $198k versus about $173k 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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