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Data Scientist

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Stripe

7d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Research & Development
  • Seattle

AI generated summary

  • You should have 3-8+ years in data science, SQL proficiency, experience in ML/statistics, cross-team collaboration, strong communication, project management skills, and a builder’s mindset.
  • You will partner with teams to optimize systems, leverage data for strategic decisions, and apply machine learning, statistical modeling, and analytics to enhance products and user interactions.

Requirements

  • 3-8+ years of data science/quantitative modeling experience
  • Proficiency in SQL and a computing language such as Python or R
  • Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
  • Experience in working with cross-functional teams to deliver results
  • Ability to communicate results clearly and a focus on driving impact
  • 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 builder's mindset with a willingness to question assumptions and conventional wisdom

Responsibilities

  • We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams.
  • You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions.
  • As Data Scientists at Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

FAQs

What is the primary mission of Stripe?

Stripe's mission is to increase the GDP of the internet by providing financial infrastructure for businesses.

What are the main responsibilities of a Data Scientist at Stripe?

Data Scientists at Stripe partner with various teams to optimize systems and leverage data for strategic business decisions, using techniques like machine learning, statistical modeling, and experimentation.

What is the minimum experience required for this role?

Candidates must have 3-8+ years of data science or quantitative modeling experience.

What technical skills are necessary for this position?

Proficiency in SQL and a computing language such as Python or R is required, along with strong knowledge in areas like machine learning, statistics, and experimentation.

Are there any preferred qualifications for this Data Scientist role?

Yes, preferred qualifications include experience in deploying models in production, designing complex experiments, and a PhD or MS in a quantitative field.

Is there a specific location requirement for this role?

Yes, this role is not eligible for hire in the Greater Seattle Area or San Francisco Bay Area.

What hybrid work model does Stripe adopt?

Stripe allows for a hybrid work model, where team members spend at least 50% of their time in the office or with users, while also supporting flexibility for remote work.

What is the salary range for this Data Scientist position?

The annual US base salary range for this role is $167,400 - $251,200, which may vary based on experience, qualifications, and location.

Are benefits included with this position?

Yes, additional benefits may include equity, company bonuses, a 401(k) plan, and medical, dental, and vision benefits.

Can applicants from outside the US apply for this position?

Yes, international applicants can apply, and they may request the annual salary range for their specific location during the interview process.

Stripe

Help increase the GDP of the internet.

Technology
Industry
1001-5000
Employees
2010
Founded Year

Mission & Purpose

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. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.