Data Scientist, Core Infrastructure

Stripe; New York (NY); Hybrid; USD 192,000 - 288,000; Full time

Benefits offered by this job

Equity

Company bonus

401(k)

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe is seeking a senior data scientist to join the Data & Data Science team, focusing on core infrastructure and cloud platforms. You will analyze usage, build predictive models for capacity planning, and partner with engineering and finance to optimize cost and performance as Stripe scales.

The role requires advanced degree or equivalent experience, strong SQL and Python/R skills, and a proven ability to translate analyses into actionable recommendations for senior leadership.

Qualifications

• PhD with 3+ years, MS/MA with 6+ years, or BS/BA with 8+ years in data science or quantitative modeling.
• 3-8+ years of experience with 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 work independently and with cross-disciplinary teams including engineering and finance.

Responsibilities

• 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 to ensure data-driven infrastructure decisions.
• Providing actionable insights to improve infrastructure operations and reduce costs.
• Influencing both technical and financial strategies within Stripe.

Skills

SQL

Python/R

Education

BS/BA in data science/related field

MS/MA or PhD in quantitative field

Job description

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

• 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.

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

The annual US base salary range for this role is $192,000 - $288,000. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

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.

We look forward to hearing from you.

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

Company Details

• Company: Stripe
• Team: Data & Data Science
• Office location: Seattle
• Employment type: Full time