Senior Data Scientist, Algorithm, Lyft Biz

Lyft is seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to enterprise partners. You will collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics.

• Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products (Business Travel, Lyft Pass, Concierge).
• Own the complete lifecycle of algorithmic solutions—from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration.
• Partner with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores.
• Define offline/online metrics, evaluation frameworks, and A/B testing strategies.
• Improve model performance across latency, accuracy, cost, and reliability.
• Introduce modern techniques in ML, optimization, reinforcement learning, or graph-based methods.
• Translate complex business challenges into concrete algorithmic solutions with cross-functional teams.
• Mentor junior and mid-level scientists and contribute to Lyft's ML standards and tooling.

• Master’s or PhD in Machine Learning, Computer Science, Statistics, Optimization, or related 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.
• Track record of designing rigorous experimentation strategies, A/B tests, and offline/online validation methodologies.
• Proven ability to independently drive multi-project algorithmic scopes and navigate technical ambiguity.
• Exceptional communication and leadership skills, with a history of mentoring peers.

Expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Benefits include medical, dental, and vision insurance, mental health benefits, family building benefits, child care and pet benefits, 401(k) plan with company match, 12 observed holidays, discretionary PTO for salaried team members, 18 weeks of paid parental leave, subsidized commuter benefits, and monthly Lyft credits.

This role is hybrid, with in-office work expected 3 days per week on Mondays, Wednesdays, and Thursdays. Hybrid roles have flexibility to work from anywhere for up to 4 weeks per year.