Data Scientist

Location: Toronto, Canada

About the Position

We are seeking a passionate and skilled Data Scientist to join our dynamic Data Science team at Stripe. Our mission is to increase the GDP of the internet, and we need your expertise to help us achieve this goal.

About the Team

Our Data Science team collaborates closely with various departments across Stripe to ensure that our users, products, and business benefit from robust models, data products, and insights. We focus on leveraging data to drive impactful decisions and growth responsibly.

Responsibilities

• Partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams.
• Optimize systems and leverage data for strategic business decisions.
• Utilize techniques such as machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics.

Requirements

• Educational Background:
  • PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.
• Technical Skills:
  • Proficiency in SQL and a computing language such as Python or R.
  • Experience with AI tools to accelerate model development, analysis, and coding.
• Experience:
  • Experience in working with cross-functional teams to deliver results.
  • Ability to communicate results clearly and a focus on driving impact.
  • Demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
  • Strong business acumen and experience in synthesizing complex analyses into actionable recommendations.

Preferred Qualifications

• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation.
• Experience deploying models in production and adjusting model thresholds to improve performance.
• Experience designing, running, and analyzing complex experiments or leveraging causal inference designs.
• A builder's mindset with a willingness to question assumptions and conventional wisdom.
• Experience with distributed tools such as Spark, Hadoop, etc.
• A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research).

We Offer

• Opportunity to work in a leading financial infrastructure platform.
• Collaborative and innovative work environment.
• Potential for professional growth and development.

About the Company

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.