# Senior Data Scientist

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Seattle, WA
**Role:** Data Science
**Salary:** $192k – $288k/yr
**Experience:** 3+ years
**Skills:** Statistical Modeling, Machine Learning, SQL, Python, numerical optimization, integer programming, Forecasting, data mining, exploratory data analysis, Causal Inference, visualization, optimization
**Posted:** 2026-07-31

> 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.

## Job Description

## 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.

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