Stripe 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- Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
- Partner closely with Sales and Data Science teams to identify important questions and answer them with data.
- Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale.
- Create analyses that generate insights for business teams.
- Design, analyze, and interpret the results of experiments.
- Build ETL data transformation pipelines in SQL.
Must have a Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of experience in a Data Scientist or related occupation.
- 3 years of experience building ETL data transformation pipelines in SQL;
- 3 years of experience working closely with product and business teams to identify important questions and answer them with data;
- 2 years of experience productionalizing and implementing machine learning models;
- 2 years of experience productionalizing and implementing software products;
- 2 years of experience designing, analyzing, and interpreting the results of experiments;
- 2 years of experience designing, and analyzing software architectures;
- 2 years of experience designing, implementing, and launching data science solutions;
- 2 years of experience designing, implementing, and launching software solutions; and
- 2 years of experience applying statistical and machine learning models on large datasets to predict future performance of users or products.
Salary : $192,000 - $288,000/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.
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. WA04 #LI-DNI
Skills Required
- Master's degree in Computer Science, Business Analytics, Statistics, or related field
- 3 years of experience in Data Scientist or related occupation
- 3 years of experience building ETL data transformation pipelines in SQL
- 3 years of experience working with product and business teams
- 2 years of experience productionalizing machine learning models
- 2 years of experience designing and analyzing experiments
- 2 years of experience designing software architectures
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.
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