Role Description & Responsibilities
Data Science
About Stripe
Stripe is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Data Science role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
Stripe, LLC. 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.
Master’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 5 years of related work experience in data science or quantitative modeling.
Key Responsibilities & Day-to-Day Scope
- ✓ Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests;
- ✓ Design the next generation of Stripe products to meet the high growth needs of our company and customers;
- ✓ Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints;
- ✓ Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards;
- ✓ Act as the team’s representative during technical meetings and understand how their systems interact with the broader landscape within the company;
- ✓ Mentor early-career engineers to help them grow and spin up into independent engineers; and
Official Qualifications & Technical Requirements
- • Construct core engineering tenets and design principles for their team’s projects.
- • Programming languages including Python or R;
- • Developing models and tuning thresholds to drive business outcomes and deployment of the same model in production;
- • Translating complex data analysis into actionable business outcomes;
- • Writing or contributing to product strategy, roadmap, or technical design documents;
- • Designing and analyzing production experiments to drive strategic and technical outcomes.
Preferred Skills & Technology Stack
- + Familiarity with distributed compute frameworks (Apache Spark, Databricks).
- + Experience with experiment tracking tools (MLflow, Weights & Biases) and containerization (Docker).
- + Personal GitHub repository or competition profile (Kaggle) demonstrating practical data science projects.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Stripe
Verified EmployerStripe champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.