Data Scientist, Lyft Urban Solutions
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.
The Lyft Urban Solution team is developing the future of micromobility and is
looking for a Data Scientist to inform and drive decision-making that charts the
way. From New York’s Citi Bike to San Francisco’s Bay Wheels, our micromobility
systems depend on smart data-informed decisions to operate efficiently and at
scale. Analyses, insights, and algorithms guide both planning and operations,
and we’re looking for passionate, driven Data Scientists to take on some of the
most interesting and impactful problems in micromobility.
The set of problems tackled by the Lyft Urban Solutions Operations Technology
Team is incredibly diverse. They cut across optimization, prediction,
simulation, inference, transportation, analytics and mapping. We collaborate
with and inform a wide range of stakeholders, from executives to hardware
specialists to local market operations teams. We're looking for someone who is
passionate about solving mathematical problems with data, and is excited about
working in a fast-paced, innovative and collegial environment.
RESPONSIBILITIES:
- Partner with Engineers, Product Managers, and Business Partners to frame
problems, both mathematically and within the business context
- Perform exploratory data analysis to gain a deeper understanding of the
problem
- Develop and fit statistical, machine learning, or optimization models
- Write production model code; collaborate with Software Engineers to implement
algorithms in production
- Design and implement both simulated and live experiments
- Analyze experimental and observational data; communicate findings; guide
launch decisions
EXPERIENCE:
- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer
Science, or other quantitative fields or related work experience
- 3+ years professional experience in a technology company setting involving a
product
- Passion for solving unstructured and non-standard mathematical problems
- End-to-end experience with data, including SQL querying, aggregation,
analysis, and visualization
- Proficiency with Python, ideally including both exploratory
analyses/visualizations and building production models
- Ability to collaborate and communicate with others to solve a problem
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 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
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
$108,000 - $135,000 . Salary ranges are dependent on a variety of factors,
including qualifications, experience and geographic location. Range is not
inclusive of potential equity offering, bonus or benefits. Your recruiter can
share more information about the salary range specific to your working location
and other factors during the hiring process.
