At a glance
- Experience
- 1+ years experience
- Workplace
- Hybrid
- Location
- Toronto
About the role
- As a Data Scientist on the Mapping team, you will collaborate with engineers, product managers, and designers to grow and improve recommended route quality and travel time estimation accuracy.
- You will leverage spatial data and rigorous analytical thinking to build a mapping product that provides safe, efficient, and seamless navigation for rideshare drivers.
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
Preferred qualifications
- 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
Benefits
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
- Flexible paid time off policy for salaried team members (or 15 days paid time off for hourly team members with an additional day for each year of service)
- 18 weeks of paid time off for new parents designed as a top-up plan
- Subsidized commuter benefits and Lyft ride credits
Workplace
- In-office on a hybrid schedule
- Expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays
- Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year
Skills
- SQL
- Python
- R
- PyTorch
- TensorFlow
- Keras
- ETL
