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About the Role
As a Data Scientist on the Mapping team, you will collaborate with engineers, product managers, and designers to improve recommended routes and travel time estimations. You will leverage data and analytical thinking to shape mapping products and make business decisions, focusing on improving map data quality, benchmarking services, validating real-world features, and ensuring accurate travel time estimations.
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, and implement products to drive business goals
- Design and analyze online experiments; communicate results and act on launch decisions
- Develop analytical frameworks to monitor business and product performance
- Establish metrics that measure the health of our products, as well as rider and driver experience
- Identify and drive impact and alignment, shaping product and business strategy through data-centric presentations
Requirements
- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
- 1+ years experience in a data science role or analytics role
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Experience in programming, especially with data science and visualization libraries in Python or R, and machine learning libraries such as PyTorch, TensorFlow, Keras
- Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
- Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
- Experience in applying machine learning techniques a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
- Experience working with ETL pipelines a plus
Skills
- SQL
- Python
- R
- PyTorch
- TensorFlow
- Keras
- Machine Learning
- Reinforcement Learning
- Data Science
- Analytics
- Data Visualization
- Statistical Analysis
- Online Experimentation
- ETL Pipelines
Location
- Toronto
Work Type
- Hybrid
- In-office
Experience Level
- 1+ years experience
Education Level
- Degree in a quantitative field (advanced degrees preferred)
Salary/Compensations
- CAD $88,000 - CAD $110,000
Benefits
- Extended health and dental coverage options
- Life insurance
- Disability benefits
- Mental health benefits
- Family building benefits
- Child care benefits
- Pet benefits
- Lyft funded Health Care Savings Account
- RRSP plan with company match
- Flexible paid time off policy (salaried team members)
- 15 days paid time off (hourly team members)
- Additional day of PTO for each year of service (hourly team members)
- 18 weeks of paid parental leave (top-up plan)
- Subsidized commuter benefits
- Lyft ride credits
About the Company
- Lyft's purpose is to serve and connect.
- Lyft aims to cultivate a work environment where all team members belong and have the opportunity to thrive.
- Data Science is at the heart of Lyft’s products and decision-making.
Equal Opportunity
- Lyft is committed to creating an inclusive workforce that fosters belonging.
- Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.
- Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
- Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.