Senior Data Scientist

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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

• 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.

Must have a 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.

Must have three (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.

Salary: $192,000.00 - $288,000.00/yr

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Up to 10% domestic travel required.

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA34

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