Senior Data Scientist

at Stripe
USD 192,000-288,000 per year
SENIOR
✅ Hybrid

Tech Stack

Data Science @ 4 Experimentation Marketing Mathematics @ 6 Payments Python @ 4 SQL @ 4 Statistics @ 6

Details

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Stripe’s mission is to increase the GDP of the internet.

Responsibilities

  • Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analyses with internal data.
  • Work closely with product and business teams to identify important questions and answer them with data.
  • Collaborate with other data scientists, engineers, and operations teams to formulate innovative solutions for experimentation and implement advanced data-mining techniques.
  • Conduct exploratory analyses on internal data to understand user behavior and inform product development.
  • Drive the collection of new data and the refinement of existing data sources.
  • Apply statistical and machine-learning models to large datasets to measure results and outcomes, and identify causal impact and attribution.
  • Predict future performance of users or products.
  • Define, measure, and monitor key outcome metrics for teams and support Stripe’s business.
  • Communicate complex concepts and the results of metrics and analyses clearly and effectively through creative visualization.
  • Communicate findings broadly and interact with teams including product managers, software engineers, marketing, and business development.

Requirements

  • Master’s degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics, or a related field.
  • At least three years of experience in Data Science or a related occupation.
  • At least three years of experience with statistical and machine-learning methods, numerical optimization and integer programming, SQL, Python, optimization, and forecasting and machine-learning domains.

Additional Details

  • Salary: $192,000–$288,000 per year.
  • 40 hours per week.
  • 50% telecommuting permitted.
  • Up to 10% domestic travel required.
  • Multiple positions available.

Benefits

Benefits may include equity, company bonus or sales commissions/bonuses, a 401(k) plan, medical, dental, and vision benefits, and wellness stipends.

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