Data Scientist, Decisions - Mapping

Lyft; Toronto (OH); Hybrid; USD 62,000 - 77,000; Full time

Benefits offered by this job

Health & dental

Mental health

Family building

Child care

HSA

RRSP matching

Paid time off

Parental leave

Commuter benefits

Ride credits

Job summary

Lyft is seeking a Data Scientist for the Mapping team to improve route quality and the accuracy of travel time estimates. You will collaborate with engineers, product managers, and designers to build a best‑in‑class mapping product that supports safe, efficient navigation for rideshare drivers.

Responsibilities include designing online experiments, developing analytic frameworks, and defining metrics to monitor product health and rider/driver experience.

Qualifications

• Degree in a quantitative field or relevant work experience.
• 1+ years in a data science or analytics role.
• Proficiency in SQL and ability to write structured queries on large datasets.
• End-to-end data work: querying, aggregation, analysis, and visualization.
• Experience in programming with Python or R and ML libraries.
• Experience with online experimentation and communicating results to stakeholders.
• Strong communication and collaboration skills.
• Experience with ML techniques is a plus (e.g., reinforcement learning).

Responsibilities

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency.
• Partner with PMs, engineers and operators to translate insights into decisions and actions.
• Design and analyze online experiments; communicate results and influence launch decisions.
• Develop analytic frameworks to monitor product performance.
• Establish metrics to measure health of products and rider/driver experience.
• Identify and drive impact, shaping product and business strategy.

Skills

SQL

Python/R

A/B testing

Data visualization

Education

Degree in a quantitative field (statistics, economics, applied math, ops research or engineering)

Tools

PyTorch

TensorFlow

Keras

Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including:

• How do we improve the quality of our map data in order to improve our recommendations?
• How do we benchmark and measure the success of our services?
• How do we validate features of the real world that affect our routing algorithms?
• Are we meeting our travel estimation promises to our customers?

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

Experiences:

• 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

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
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

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. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $88,000 - CAD $110,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.