Data Scientist
est. $100,000 - $150,000 per year
On-site · Toronto, Ontario, Canada
Job Summary
The Data Scientist role at Stripe requires expertise in data science and quantitative modeling, with responsibilities including collaboration with various teams to enhance systems and use data for strategic business decisions. Key skills include proficiency in SQL and programming languages (Python or R), and a strong foundation in machine learning, statistics, and causal inference. Candidates must have relevant experience ranging from a PhD with 3 years to a BS/BA with 8 years in data science. Effective communication and project management abilities are essential, alongside a strong business understanding.
Required Qualifications
- 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
- Experience in working with cross-functional teams to deliver results
- Ability to communicate results clearly and a focus on driving impact
- A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
- Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
- A builder's mindset with a willingness to question assumptions and conventional wisdom
Desired 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.
- A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
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