Lyft is hiring a Data Scientist Decisions Mapping in Toronto!
Lyft is hiring a Data Scientist to join its Mapping team in Toronto, focused on improving the quality of map data, recommended routes, and travel-time estimates that support rideshare drivers. The role sits at the intersection of analytics, experimentation, and product strategy: you would scope opportunities, shape priorities, recommend technical approaches, and measure how new mapping features affect riders and drivers. Lyft describes data science as central to its product and decision-making, so the position involves close collaboration with engineers, product managers, designers, and operators. It is a hybrid role requiring at least three days per week in office, including Mondays, Wednesdays, and Thursdays, with some flexibility to work remotely for up to four weeks a year.
Key responsibilities
- Apply data and analytical frameworks to find opportunities for growth and efficiency in mapping products
- Work with product managers, engineers, and operators to turn analytical insights into decisions and shipped improvements
- Design and analyze online experiments, then communicate results and inform launch decisions
- Build analytical frameworks that monitor business and product performance
- Define metrics covering product health plus rider and driver experience
- Influence product and business strategy through data-driven presentations and cross-functional alignment
- Investigate questions such as improving map data quality, benchmarking service success, validating real-world features affecting routing, and meeting travel-time promises
Key requirements
- Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering, or equivalent work experience; advanced degrees preferred
- 1+ years in a data science or analytics role
- Strong SQL skills, including efficient queries against large datasets
- End-to-end data experience spanning querying, aggregation, analysis, and visualization
- Programming ability with data science and visualization libraries in Python or R, plus ML libraries such as PyTorch, TensorFlow, or Keras
- Experience with online experimentation, statistical analysis, and presenting recommendations to senior stakeholders
- Strong written and verbal communication and the ability to influence cross-functional partners
- Nice to have: applying machine learning, such as reinforcement learning, to customer problems like personalization or segmentation
- Nice to have: experience with ETL pipelines
- Seniority: Mid-level (1+ years experience)
- Work mode: Hybrid — at least 3 days per week in the Toronto office (Mondays, Wednesdays, Thursdays); up to 4 weeks remote per year
- Salary: CAD $88,000 - CAD $110,000
- Key skills: SQL, Python, R, PyTorch, TensorFlow, Keras, online experimentation, statistical analysis, data visualization, machine learning, ETL pipelines, metric design, spatial data
Want more jobs?
Join our mailing list to receive updates about new data science and Data Scientist Decisions Mapping jobs.
