Level

Lyft

Data Scientist

Lyft is hiring a Data Scientist in New York, United States. It pays $148k-$222k a year and Level rates it ; you can apply on Level.

Level's read on this job

  • On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Python, R and Matlab.
  • Level files it as a mid-level role.
  • Level lists 182 other open roles at Lyft.
  • The role was posted in the last few days.

AI in this role

Data Scientist responsible for constructing, fitting, and deploying statistical, machine learning, and optimization models into production.

pythonrmatlab
machine-learningstatistical-modelingexperiment-designoptimizationdata-pipelines

Job ID: 111268

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, 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.
  • Construct and fit statistical, machine learning, or optimization models.
  • Write production modeling code; collaborate with Software Engineers to implement algorithms 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 Business Analytics and Information Management, Data Science, or related field.
  • 2 years of experience in job offered, operations research, or related occupation.

Skills:

  • Experience creating metrics and analytical tools to track and monitor growth.
  • Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines.
  • Experience with building and evaluating optimization and inference models, and predictive modeling.
  • Experience with writing production quality computer code and using MATLAB, R, and Python.

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 New York City area is $148,000 - $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 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningStatistical ModelingExperiment DesignOptimizationData PipelinesPythonRMatlab

Also common in data scientist jobs at this level

Pay

This job starts at
$148k
Typical data scientist job
$170k

This posting starts 13% below the typical data scientist job. See data scientist jobs

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where statistical modeling was part of your work. What did you do?
  3. Tell me about a project where experiment design was part of your work. What did you do?
  4. Tell me about a project where optimization was part of your work. What did you do?
  5. Tell me about a project where data pipelines was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Machine learning, Statistical Modeling, Experiment Design, Optimization, and Data Pipelines. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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