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Lyft

Senior Data Scientist, Algorithm, Lyft Biz

Lyft · San Francisco, CA

Posted about 3 months ago · $136,160 - $170,200

or apply directly on Lyft's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Lyft's roles stay open a median of 79 days
Reposted
No
Salary listed
Yes
62% of Lyft's roles list one
Ghost-job risk at Lyft
high
168 stale, 4 reposted of 171 open
Hiring momentum
267 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Lyft's own greenhouse board since 2026-08-03. Full hiring picture for Lyft.

About this role

The Senior Data Scientist at Lyft will lead technical initiatives across the Lyft Business product suite, focusing on developing algorithms and models that enhance operational efficiency and drive growth. Responsibilities include overseeing the entire lifecycle of algorithmic solutions, collaborating with cross-functional teams, and mentoring junior scientists. The role requires expertise in machine learning, causal inference, and strong business acumen in B2B contexts.

Our read on this posting4.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lyft as an employer.

What you need

  • Master’s or PhD in Machine Learning, Computer Science, Statistics, Optimization, or a related quantitative field (or equivalent applied experience)
  • 5+ years of hands-on experience developing, deploying, and maintaining production machine learning models and optimization systems
  • Deep knowledge of supervised/unsupervised learning, ranking/decisioning systems, probabilistic modeling, and causal inference
  • Strong proficiency in Python, modern ML frameworks (PyTorch, TensorFlow, scikit-learn), and distributed data systems (Spark, Snowflake, Databricks)
  • Hands-on experience building end-to-end ML architectures, including online/batch pipelines, feature engineering, and automated monitoring frameworks
  • Demonstrated track record of designing rigorous experimentation strategies, A/B tests, and offline/online validation methodologies

What you get

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • Discretionary paid time off for salaried team members and 15 days paid time off for hourly team members

Worth weighing

  • Role requires in-office work 3 days a week, which may not suit all candidates
  • Salary range provided is broad and dependent on various factors, with no specific equity or bonus details mentioned

Summarised from Lyft's posting. Read the full original.

Listed by Lyft on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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