Lyft · 4 hours ago
Senior Data Scientist, Algorithms - Lyft Business
New York, NY
Full-time
Hybrid
Senior Level
$148K/yr - $185K/yr
5+ years expLyft is a company focused on serving and connecting people through innovative transportation solutions. They are seeking a Senior Data Scientist to lead data science initiatives across the Lyft Business product suite, shaping the vision and driving execution for projects that enhance growth and operational efficiency.
AppsMobile AppsRide SharingSoftwareTaxi ServiceTransportation
Responsibilities
Lead multiple Machine Learning and AI initiatives across Lyft Business (Business Travel, Lyft Pass, Concierge), operating in open-ended and ambiguous spaces with multi-team impact
Design, develop, and deploy advanced ML models, optimization algorithms, and ranking/decision systems that power core product and platform capabilities
Own the end-to-end lifecycle of complex modeling solutions — problem formulation, data exploration, model development, evaluation, deployment, and ongoing iteration
Partner closely with Engineering to build scalable, production-grade systems, including online inference services, batch pipelines, feature stores, monitoring, and model governance
Define model evaluation strategies, experimentation plans, and offline/online validation methods, ensuring algorithms are robust, reliable, fair, and aligned with business outcomes
Improve model performance across latency, accuracy, stability, cost, and system reliability, employing advanced tuning, optimization, and scientific rigor
Build and maintain high-quality codebases for models, training pipelines, diagnostics, and simulation frameworks; enforce best practices around reproducibility and documentation
Drive algorithmic innovation, introducing new techniques in ML, optimization, reinforcement learning, causal inference, or graph-based methods that unlock new product capabilities
Collaborate across Product, Engineering, Ops, and Science to translate ambiguous business problems into algorithmic solutions with measurable success criteria
Mentor junior and mid-level applied scientists and data scientists, providing technical guidance, code reviews, modeling critiques, and helping raise the scientific bar
Contribute to Lyft’s broader Science community, particularly around ML tooling, modeling standards, experimentation practices, and reusable algorithmic frameworks
Qualification
Required
Master's or PhD in Machine Learning, Computer Science, Optimization, Statistics, Engineering, or a related quantitative discipline; or equivalent strong applied experience
5+ years of industry experience developing and deploying machine learning models, algorithms, or optimization systems in production environments
Demonstrated ability to independently own multi-project, multi-component algorithmic scopes, especially in ambiguous or highly technical problem domains
Deep expertise in: Supervised and unsupervised learning, Optimization, probabilistic modeling, or time-series modeling, Ranking systems, decisioning, or reinforcement learning, Feature engineering, pipeline architecture, and ML deployment
Strong proficiency in Python, ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn), and distributed data processing (Spark, Snowflake, Databricks)
Hands-on experience building production-grade ML systems, including real-time inference services, batch pipelines, and monitoring/alerting frameworks
Demonstrated ability to define experiment design, offline metrics, online metrics, and success criteria for model evaluation
Strong communication and influence skills — capable of explaining technical tradeoffs, model behaviors, and system constraints to both technical and non-technical partners
Experience mentoring others, raising modeling standards, and contributing to internal ML best practices
Proven track record of delivering high-quality, well-integrated algorithmic solutions that drive measurable product and business outcomes
Benefits
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
In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Subsidized commuter benefits
Monthly Lyft credits and complimentary Lyft Pink membership
Company
Lyft
Lyft is a leading ride-hailing service offering car rentals, bike, and scooter-sharing through its mobile app for convenient transportation.
5001-10000 employees
H1B Sponsorship
Lyft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (137)
2024 (100)
2023 (132)
2022 (287)
2021 (266)
2020 (281)
Funding
Current Stage
Public CompanyTotal Funding
$5.76BKey Investors
FidelityMagna InternationalCapitalG
2025-09-03Post Ipo Debt· $450M
2024-02-21Post Ipo Debt· $400M
2021-02-01Post Ipo Equity
Leadership Team
David Risher
Chief Executive Officer
Erin Brewer
Chief Financial Officer
Recent News
2026-01-22
2026-01-22
2026-01-22
Company data provided by crunchbase