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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