They are looking for a data scientist to partner with our Finance & Strategy team in understanding, predicting, and shaping their increasingly diverse business. In this role, you will create time series forecasting models for a broad set of financial metrics, while also helping to develop their internal forecasting infrastructure. You will also drive large-scale experimentation efforts around how we price their growing suite of products.
If you are excited about time series modeling and experimentation and motivated by having an impact on the business, they want to hear from you.
You Will
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- Act as an embedded partner to the Finance & Strategy team
- Produce regular forecasts that drive decision-making for business, product, engineering, and leadership teams across Stripe
- Lead efforts around pricing experimentation for a variety of products
- Incorporate new statistical modeling, machine learning, and experimental methods in support of their financial goals
- Contribute to the development of Stripe’s forecasting infrastructure
They’re Looking For Someone Who Has
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- 3+ years of experience working with and analyzing large data sets to solve problems
- A Ph.D. or MS in a quantitative field (e.g., Statistics, Sciences, Economics, Engineering, CS)
- Significant experience with R, or significant experience with Python and enthusiasm for R
- Solid SQL skills
- Strong knowledge of statistics and experimental design
- Prior experience with time series modeling or enthusiasm to learn
- The ability to communicate results clearly and a focus on driving impact
Nice To Haves
- Prior experience with data-distributed tools (Scalding, Spark, Hadoop, etc)
- Prior experience writing or contributing to R packages
