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Research Scientist Intern (2019)San Francisco, California, United States

Lyft

Research Scientist Intern (2019)

San Francisco | California | United States

At Lyft, community is what we are and it's what we do. It's what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.

Lyft's Research Scientist 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 students in each of these fields for a three-month internship. The ideal candidate is a critical thinker, is passionate about solving mathematical problems with data, and is excited about working in a fast-paced, innovative and collegial environment.

THE PROBLEMS
Research Scientists models power real-time, in-product decision making at Lyft. This includes efficiently matching passengers and drivers, predicting travel times and distances, balancing supply and demand in the network, and protecting our passengers and drivers against fraudsters. Research Scientists also build evaluation methodology for these foundational algorithms, including a high-fidelity simulation environment. Every new Lyft product, or step-change improvement in the efficiency of our platform, begins with a deep contribution from the Research Science Team.

Responsibilities:
  • Work with your mentor to frame a problem, 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.
  • Work with your mentor to implement an algorithm in production; run simulated and/or live traffic experiments.
  • Analyze experimental and observational data; communicate findings.
Experience & Skills:
  • Current Ph.D. student in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field.
  • 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.
Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.

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