Description
About the role
We're looking for a Data Scientist to join our team at Stripe. As a Data Scientist, you will work closely with our Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams to optimize our systems and leverage data to make strategic business decisions.
Responsibilities
- Partner with cross-functional teams to ensure that our users, products, and business have the models, data products, and insights needed to make decisions and grow responsibly.
- Analyze data, build machine learning and statistical models, and run experiments to drive impact.
- Influence how our products work, how our business works, and how our go-to-market motions operate.
Requirements
- PhD + 3 years, MS/MA + 6 years or BS/BA + 8 years of data science/quantitative modeling experience.
- Proficiency in SQL and a computing language such as Python or R.
- Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation.
Preferred qualifications
- Experience deploying models in production and adjusting model thresholds to improve performance.
- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs.
- Experience with distributed tools such as Spark, Hadoop, etc.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/stripe/jobs/5895430