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Data Scientist, Forecasting Platform
Company | Stripe |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Software Development,Technology, Information and Internet,Financial Services |
Expires | 2023-07-27 |
Posted at | 10 months ago |
Who we are
- Bring in new methodology to improve forecast responsiveness to the macroenvironment, such as COVID and other economic changes
- Build ‘what-if’ analysis capabilities to allow business leaders to quantitatively encode and model their assumptions
- Drive efforts around explanation of forecast trends, development of new accuracy metrics, and estimation of uncertainty
- Develop and build a forecasting framework that can produce regular, accurate, responsive statistical forecasts to be used for company planning
- Incorporate new statistical modeling and/or machine learning methods to improve forecast performance
- A PhD or MS in a quantitative field (e.g., Statistics, Sciences, Economics, Engineering, CS)
- A demonstrated ability to manage and deliver on multiple projects
- Strong knowledge of statistics and experimental design
- 5+ years experience working with and analyzing large data sets to solve problems
- A builder’s mindset with a willingness to question assumptions and conventional wisdom
- The ability to communicate results clearly and a focus on driving impact
- Prior experience working with time series models
- Expert knowledge of Python and SQL
- Prior experience with data-distributed tools (Scalding, Spark, Hadoop, etc)
- Prior experience writing or contributing to Python packages
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