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.
What you’ll doResponsibilities- 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
#LI-DNISkills Required
- Master's degree in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics, or a related field
- Three years experience in Data Science or a related occupation
- Three years experience with statistical and machine learning methods
- Three years experience with numerical optimization and integer programming
- Three years experience with SQL
- Three years experience with Python
- Three years experience with optimization
- Three years experience with forecasting and machine learning domain
Stripe Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stripe and has not been reviewed or approved by Stripe.
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Healthcare Strength — Healthcare is positioned as comprehensive across mental, physical, and medical plans. Mental-health support is repeatedly surfaced as a meaningful part of overall coverage.
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Parental & Family Support — Parental leave and fertility benefits are highlighted as core elements of the package. Leave-related benefits are portrayed as a standout area of support for families.
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Fair & Transparent Compensation — Compensation is framed as a relative strength compared to other parts of the employee experience. Pay is frequently characterized as competitive and, for many roles, perceived as fair in absolute terms.
Stripe Insights
What We Do
Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies like Salesforce and Facebook—use the company’s software to accept online payments and run technically sophisticated financial operations in more than 100 countries. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Over the long term, Stripe aims to increase the GDP of the internet.
