Data Scientist, Algorithms

2 weeks ago

Vancouver, Canada Lyft Full time

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.

Data Science is at the heart of Lyft's products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We're looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

As a Data Scientist, Algorithms, you will be developing 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 to a Data 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
- Develop and fit statistical, machine learning, or optimization models
- Write production model code; collaborate with Software Engineers to implement algorithms in production
- Design and implement both simulated and live experiments
- Analyze experimental and observational data; communicate findings; facilitate launch decisions
- Build causal inference models to measure the short-term and long-term impacts of various marketplace levers on growth and profitability, and optimize lever decisions using said measurements

**Experience**:

- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
- 3+ years professional experience in a technology company setting involving a product
- 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
- Ability to collaborate and communicate with others to solve a problem
- Experience with time series modeling and causal inference a plus

**Benefits**:

- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Access to a Health Care Savings Account
- In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
- 4 Floating Holidays each calendar year prorated based off of date of hire
- 10 paid sick days per year regardless of province
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

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