Data Scientist - Algorithms, Mapping
The Data Scientist will develop and productionize algorithms for routing, travel-time estimation, and traffic detection using geospatial, behavioral, and mobility data. The role requires 3+ years of production machine learning or data science experience and strong quantitative expertise.
About the job
Responsibilities
- Own the complete lifecycle of algorithmic solutions, from problem formulation, data exploration, and feature engineering through deployment, monitoring, and iteration.
- Lead data deep dives to uncover product and business opportunities.
- Partner with Engineering to build and scale production-grade machine learning systems, real-time inference services, batch pipelines, and feature stores.
- Design, implement, and analyze experiments to support data-driven decision-making and prioritization.
- Apply modern techniques in machine learning, optimization, reinforcement learning, and graph-based methods.
- Establish metrics to measure product health and rider and driver experience.
- Translate complex business challenges into algorithmic solutions with Product, Engineering, Operations, and Science teams.
Requirements
- Advanced degree in a quantitative field such as statistics, physics, economics, operations research, neuroscience, or engineering, or relevant work experience.
- 3+ years of hands-on experience in data science or machine learning, including production machine learning models and optimization systems.
- Ability to solve unstructured and non-standard mathematical problems.
- Experience independently driving multi-project algorithmic scopes from ideation to delivery while navigating technical ambiguity.
- Experience with production machine learning models and practical tradeoffs involving algorithm sophistication, compute complexity, maintainability, and extensibility.
- Strong oral and written communication skills and ability to influence cross-functional partners.
- Working knowledge of modern machine learning frameworks and distributed computing systems.
Benefits
- Extended health and dental coverage, life insurance, and disability benefits.
- Mental health, family-building, child care, and pet benefits.
- Lyft-funded Health Care Savings Account.
- RRSP plan with company match.
- Flexible paid time off for salaried team members; hourly team members receive 15 days paid time off plus additional annual accrual.
- 18 weeks of paid parental leave top-up for biological, adoptive, and foster parents.
- Subsidized commuter benefits and Lyft ride credits.
Compensation
- CAD $108,000–$135,000 annual base pay, excluding potential equity, bonus, and benefits.
Skills
Machine Learning, PyTorch, TensorFlow, Ray, Spark, Optimization, Reinforcement Learning, Graph Algorithms, Feature Engineering, Experiment Design, Distributed Computing, Feature Stores
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