Responsibilities

• Collaborate with various business units to implement data-driven solutions and insights.
• Develop machine learning models and statistical analyses to address complex problems.
• Ensure efficient communication and actionable recommendations across teams.

Requirements

• Enrolled in a quantitative PhD program (e.g., Mathematics, Engineering, Computer Science, Statistics, Economics).
• Hands-on experience with programming languages like Python or R.
• Proficiency in areas such as machine learning, statistics, and causal inference.
• Clear communication skills and team collaboration expertise.

Preferred Qualifications

• Experience in handling data pipelines.
• Demonstrated ability to synthesize feedback from various stakeholders effectively.

Benefits

• Competitive salary with equity opportunities.
• Comprehensive benefits package including medical, dental, and vision plans.
• Flexible working arrangements supporting hybrid or remote work options.

About the Company

Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow revenue, and facilitate new business opportunities. The company emphasizes increasing the GDP of the internet and solving impactful challenges.