Data Science Intern, Decisions - Inference (Summer 2023)
U.S. Anywhere
Lyft
Rideshare with Lyft. Lyft is your friend with a car, whenever you need one. Download the app and get a ride from a friendly driver within minutes.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 Masters or PhD students who are passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.
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.
As a Data Science Intern on the Decisions: Inference track, you will work on designing and analyzing tests in our dynamic marketplace, estimating statistical and machine learning models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. We expect candidates to have strong probability skills and statistical rigor, knowledge of causal inference, and familiarity with advanced modeling techniques from fields such as econometrics, statistics, and machine learning.
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 and machine learning models
- Write production modeling code; collaborate with engineers to implement algorithms in production systems
- Design and conduct marketplace experiments in a setting with spatial interference patterns and time-varying treatment effects
- Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions
- Prototype modeling approaches that reduce error in estimators, leveraging high-dimensional marketplace activity data
- Rigorously evaluate and compare policies based on models, using modern approaches such as off-policy evaluation
- Graduating with a Masters or PhD degree between December 2023 and June 2024
- Currently pursuing a Masters or PhD degree in Statistics, Economics, Machine Learning, Biostatistics, or Computer Science, or a related field
- Experience coding in Python, SQL, and standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras)
- Experimental design and analysis of randomized experiments such as A/B tests
- Probabilistic and statistical modeling
- Exploratory data analysis
- Bonus points: Experience in studying two-sided marketplaces
- Great medical, dental, and vision insurance options
- Mental health benefits
- In addition to holidays, interns receive 1 day paid time off and 3 days sick time off
- 401(k) plan to help save for your future
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Benefits are available for Lyft team members who work 30 or more hours per week. Please request information about benefits available to team members who work 29 hours or less per week.
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.
Until further notice, Lyft employees working in the United States and Canada in any capacity (on a daily or hybrid schedule, remote, or as a visitor) are required to provide proof that they are fully vaccinated and up to date against COVID-19. Fully vaccinated and up to date means an employee has: 1) received all recommended doses in a primary series of COVID-19 vaccine; and 2) either has received a booster dose or is not yet eligible to receive a booster dose but will do so when eligible. Lyft will maintain records associated with your vaccination history in a way that is compliant with all relevant Federal, state and local laws. Exceptions to this requirement are employees who require religious or medical exemption as approved through Lyft's accommodations process. New employees must provide proof of full vaccination or receive an accommodation exception approval prior to their start date.
This role is work-from-anywhere in the U.S., excluding U.S. territories.
The base salary range for this position in the US is $47/hour - $61/hour. 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.Tags: A/B testing Biostatistics Causal inference Computer Science Data analysis Econometrics Economics EDA Keras Machine Learning ML models NumPy PhD Python PyTorch Scikit-learn SQL Statistical modeling Statistics TensorFlow
Perks/benefits: Career development Equity Health care Insurance Salary bonus Startup environment
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