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Data Scientist, EMEA

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Stripe

12d ago

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

AI generated summary

  • You need 3-8+ years in data science, SQL proficiency, expertise in ML/statistics, experience with cross-functional teams, strong communication skills, business acumen, and a builder's mindset.
  • You will partner with various teams to optimize systems, leverage data for strategic decisions, and apply techniques like machine learning 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 Data Scientist to partner with the Product, Finance, Payments, Security, 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 a Data Scientist 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 role of a Data Scientist at Stripe?

The Data Scientist at Stripe partners with various teams to optimize systems, leverage data for strategic business decisions, and ensure that the company strategy, products, and user interactions make effective use of rich data.

What are the minimum qualifications for this position?

The minimum qualifications include 3-8+ years of data science/quantitative modeling experience, proficiency in SQL and a computing language such as Python or R, strong experience in machine learning, statistics, optimization, and more, as well as solid business acumen and project management skills.

What are the preferred qualifications for this role?

Preferred qualifications include experience deploying models in production, designing and analyzing complex experiments, familiarity with distributed tools like Spark or Hadoop, and an advanced degree (PhD or MS) in a quantitative field.

What are the in-office expectations for this role?

Office-assigned Stripes are currently expected to spend at least 50% of their time in the local office or with users, though this may vary by role, team, and location. Some locations have higher requirements, such as an 80% in-office expectation or even 100% for specific roles.

What is the salary range for this role?

The annual salary range for this role in the primary location is £99,200 - £148,800, which may vary based on location, experience, and qualifications.

Is there a focus on collaboration in this role?

Yes, the role emphasizes collaboration with cross-functional teams to deliver results and drive impactful data-driven decisions.

Are there opportunities for professional development and growth within the role?

Yes, Stripe encourages a builder's mindset, questioning assumptions, and offers an unprecedented opportunity to drive meaningful impact within the company.

What benefits are included with this position?

Benefits may include equity, company bonuses, retirement plans, health benefits, and wellness stipends, with specific details varying by location and discussed during the interview process.

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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.