Data Science Manager, Lyft
More information about location
3 days a week in office
Ride sharing company
Open for applications
Ride sharing company
1001+ employees
Open for applications
More information about location
3 days a week in office
1001+ employees
Company mission
To improve people’s lives with the world’s best transportation.
Role
Who you are
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
- Proficiency in programming languages commonly used in data science and engineering, such as Python or SQL
- Familiarity with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning enviroments etc
- 3+ years of experience managing engineering teams
- Ability to lead and motivate cross-functional teams of data scientists, data engineers, and other technical professionals
- Experience providing active mentorship and career guidance
- Ability to align technical initiatives with business objectives and priorities
- Experience launching and monitoring consumer facing products and iterating through data-driven experimentation and metrics analysis
- Experience organizing on-calls to detect and react to issues in production quickly
- Prior experience in mapping domain will be a plus
What the job involves
- To strengthen our efforts, we are hiring an Engineering Manager who will lead data scientists and data engineers helping us making data driven decisions
- Data Engineering and 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, measuring the impact of new features and monitoring our solutions in close collaboration with many engineering teams
- You will help us solve some of the most impactful problems in mapping, including:
- How do we provide the best routes and most accurate ETAs?
- How is the routing experience for our drivers? Are we providing the fastest, most economic and most comfortable routes to our customers?
- How do we benchmark and measure the success of map services?
- Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow
- You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers
- Co-own the team strategy with the tech leads, and ensure a timely deliver with high quality of the engineering solutions
- Lead a team of talented data engineers and data scientists who like to ship code and tackle hard engineering / analytics problems to drive projects and innovate new solutions providing the best routing experience possible for millions of users
- Mentor and guide the professional and technical development of your team members. Help develop their careers, and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals
- Provide guidance on how to develop and leverage data and analytic frameworks to identify opportunities to improve our routing stack and to make more accurate ETA predictions
- Partner with product managers, engineers, marketers, and operators to translate data insights into decisions and action
- Build teams that are collaborative, inclusive, and respectful of each other
- Create plans for prioritizing technical and resourcing challenges in your organization
- Maintain a balance between building sustainable, high-impact projects and shipping things quickly
- Work closely with the Lyft recruiting team to hire high potential candidates from diverse backgrounds
Our take
Lyft has aimed for consistent growth, making sure to pitch itself as a more reliable and friendly ride-sharing option than its main competitor, Uber. Uber has a greater market share and operates globally, but Lyft hopes to compete by its focus on ride-sharing over Uber's more diversified business approach and as a more rider-friendly and greener alternative to Uber.
Operating only in the USA and Canada, Lyft is in a position of being less affected by global events than Uber but also more vulnerable to local conditions. As an example, while it doesn't face the regulatory hurdles around employment rights that Uber does, it is unable to balance out the cost of the unusually expensive US auto insurance across its operations.
In 2022, Lyft acquired PBSC Urban Solutions, a bike-share equipment and technology supplier, allowing Lyft to compete in new verticals and reaffirming its commitment to green transportation. It has also trialed and launched Lyft Assisted, where drivers help passengers from their door into the car to get to medical appointments. These developments chime well with Lyft's unique selling point as a friendlier and more environmentally aware ride-sharing app.
Steph
Company Specialist
Insights
Company
Funding (last 2 of 14 rounds)
Jun 2018
$600m
LATE VC
Mar 2018
$200m
LATE VC
Total funding: $4.9bn
Company benefits
- Great medical, dental, and vision insurance options
- Mental health benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
- 401(k) plan to help save for your future
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Company HQ
China Basin, San Francisco, CA
Articles
Leadership
John Zimmer
(Co-Founder)Originally an Analyst at Lehman Brothers, Zimmer then founded Zimride which was a private ridesharing company that pivoted into Lyft.
Logan Green
(Co-Founder)Founded Zimride, a private ridesharing company which later pivoted into Lyft.
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