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StripeStripeSeattle, WA

Senior Data Scientist

Senior Data Scientist building statistical and ML models, analyzing product/operational metrics, and driving data-informed decisions for product and business teams at Stripe. Requires Master's degree plus 3+ years experience with SQL, Python, optimization, forecasting, and ML methods.

192k – 288k/yr
Hybrid3+ YOEData Science

About the role

Responsibilities

  • Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis 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 to formulate innovative solutions to experiment and implement advanced data mining techniques.
  • Conduct exploratory analysis on internal data to understand user behavior to inform product development.
  • Drive the collection of new data and the refinement of existing data sources.
  • Apply statistical and machine learning models on 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 in a clear and effective manner through creative visualization.
  • Communicate findings broadly and interact with other 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, plus three (3) years of experience in Data Science or a related occupation.
  • 3+ years in each of the following: statistical and machine learning methods; numerical optimization & integer programming; SQL; Python; optimization; and forecasting and machine learning domain.

Compensation

  • Base salary: $192,000 - $288,000/yr (any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary).
  • Additional benefits may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
  • 40 hrs/week.
  • 50% Telecommuting Permitted.
  • Up to 10% domestic travel required.

Skills

Statistical ModelingMachine LearningSQLPythonnumerical optimizationinteger programmingForecastingdata miningexploratory data analysisCausal Inferencevisualizationoptimization

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