Data Scientist, Core Infrastructure
Stripe
Data Scientist, Core Infrastructure at Stripe is a full time role based in Seattle, Washington, United States. It was published on 22 July 2026 and was open at last check.
| Role | Data Scientist, Core Infrastructure |
|---|---|
| Company | Stripe |
| Location | Seattle, Washington, United States |
| Employment type | Full Time |
| Published | 22 July 2026 |
| Status | Open at last check |
Who we are
About Stripe
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.
About the team
You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to:
- Developing models to predict resource needs as Stripe demand increases;
- Working closely with engineers to improve the cost and performance of platforms and services;
- Employing quantitative methods to drive and automate fleet decisions.
You will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows.
What you'll do
As a Data Scientist, your role will involve:
- Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning.
- Developing models and strategies for efficient compute resource consumption and provisioning.
- Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions.
- Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability.
- Utilizing your analytical expertise to influence both technical and financial strategies within Stripe.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Location Requirement
- Seattle, WA or San Francisco, CA (Hybrid: 50% in office)
Minimum requirements
- PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.
- 3-8+ years of experience with a focus on infrastructure, cloud environments, and resource utilization/allocation.
- Proficiency in SQL and a computing language such as Python or R.
- Experience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering.
- Ability to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results.
- A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
- Solid business acumen and experience in synthesizing complex analyses into actionable recommendations.
- A track record of building relationships with and influencing the decisions of senior technical leadership.
- A builder's mindset with a willingness to question assumptions and conventional wisdom.
Preferred qualifications
- Background in deploying data models in production environments and optimizing their performance.
- Experience in using, deploying on, and analyzing usage data from public cloud providers.
- Familiarity with distributed computing tools such as Spark and Hadoop.
- A PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics, Operations Research, Industrial Engineering, Management Science, or related disciplines.
- Strong business acumen with a track record of translating complex data analyses into actionable business recommendations.
Create your free OnJob profile to apply — we'll take you to Stripe's application after sign-up. · Posted 22 Jul 2026.
Data Scientist, Core Infrastructure at Stripe — questions answered
What does the Data Scientist, Core Infrastructure role at Stripe pay?
Stripe does not publish a salary on this Data Scientist, Core Infrastructure listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Data Scientist, Core Infrastructure role at Stripe based?
Stripe lists this Data Scientist, Core Infrastructure role in Seattle, Washington, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Stripe before you apply.
Is the Data Scientist, Core Infrastructure role at Stripe still open?
The Data Scientist, Core Infrastructure posting at Stripe was open at OnJob's last check of the employer's careers page, having been published on 22 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Data Scientist, Core Infrastructure role at Stripe?
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