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# Data Scientist

- **Company:** Stripe, Inc.
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $192,000.0 - $288,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Mining, Integer Programming, Python (Programming Language), Machine Learning, SQL Databases
- **Published:** August 4, 2026
- **Apply:** https://www.dice.com/job-detail/1cacacbf-e76c-40d2-916e-ff0ce76bc1da

## About the Role

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.

## Description

* 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.

Who you are


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