Data Scientist - Decisions, Mapping at Lyft

Lyft

Toronto, Canada·1d ago

Mid LevelFull-timePythonMachine LearningData ScienceTensorFlowPyTorch

Salary Range

$71,825 - $97,175 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Data Scientist to join the Mapping team at Lyft. You will collaborate with engineers, product managers, and designers to improve the quality of recommended routes and travel time estimations. This role involves leveraging data and analytical thinking to shape mapping products and make business decisions that prioritize customers.

Key Responsibilities

→Leverage data and analytic frameworks to identify opportunities for growth and efficiency
→Partner with product managers, engineers, and operators to translate analytical insights into decisions and action
→Define and implement decision frameworks, measurement strategies, and scientific methodologies
→Deliver integrated, high-quality analytical outputs across multiple projects
→Design and analyze online experiments; communicate results and act on launch decisions
→Establish metrics that measure the health of our products and user experience
→Identify and drive impact and alignment, shaping product and business strategy through data-centric presentations
→Contribute to the Science community, helping make Decision Science at Lyft more effective and scalable

Requirements

✓Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering
✓3+ years experience in a data science or analytics role
✓Ability to own multi-project analytical scopes with ambiguous problem definitions
✓End-to-end experience with data, including querying, aggregation, analysis, and visualization
✓Proficiency in SQL for large data sets
✓Experience in programming with Python or R and machine learning libraries
✓Experience in online experimentation and statistical analysis
✓Strong communication, critical thinking, and prioritization skills
✓Experience in applying machine learning techniques is a plus
✓Expertise in metric design, causal analysis, behavioral analytics, decision frameworks, and measurement strategy is a plus
✓Experience working with ETL pipelines is a plus