Data Scientist
Lyft is hiring a Data Scientist in San Francisco, United States. It pays $195k-$222k a year and Level rates it ; you can apply on Lyft.
Level's read on this job
- Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
- The listed pay starts 17% above the typical data scientist posting on Level.
- Tools and skills the posting cites include statistics, business forecasting and data pipelines.
- Level lists 181 other open roles at Lyft.
- The role was posted within the past two weeks.
AI in this role
Data Scientist focused on exploratory data analysis, traffic experiments, metrics, and business forecasting.
Job ID: 111267
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.
Responsibilities:
- Partner with Engineers, Product Managers, Product Designers, 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.
- Collaborate with Software Engineers to implement algorithms and analytics events in production.
- Design and run both simulated and live traffic experiments.
- Analyze experimental and observational data; communicate findings; facilitate launch decisions.
Experience:
Education and Experience:
- Master's degree or foreign equivalent in Physics, Data Science, or related field.
- 2 years of experience in job offered, operations research, or related occupation.
Skills:
- Experience creating metrics, analytical dashboards, and tools to track and monitor growth.
- Experience with statistics, business forecast and estimates, and authoring data pipelines.
- Experience with writing production queries and experiment design and analysis.
Benefits:
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
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 3 days per week 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 San Francisco area is $195,000 - $222,000/year. 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.
#LI-DNI
How we rate this
Data Scientist at Lyft rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $195k
- Typical data scientist job
- $167k
This posting starts 17% above the typical data scientist job. See data scientist jobs
Questions you could be asked
- Tell me about a project where statistics was part of your work. What did you do?
- Tell me about a project where business forecasting was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where experiment design was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Statistics, Business Forecasting, Data Pipelines, and Experiment Design. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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