Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Lyft Data Scientist, Algorithms - Driver Incentives in San Francisco, California

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.

You will report into a Science Manager.

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 :

  • M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields

  • 3+ years professional experience

  • Passion for solving unstructured and non-standard mathematical problems

  • End-to-end experience with data, including querying, aggregation, analysis, and visualization

  • Proficiency with Python, or another interpreted programming language like R or Matlab

  • Willingness to collaborate and communicate with others to solve a problem

Benefits:

  • Great medical, dental, and vision insurance options

  • Mental health benefits

  • Family building 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

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. 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 or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected range of pay for this position in the San Francisco area is $124,000 - $155,000 . 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.

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