Data Scientist — Remote, High-Impact Analytics

Stripe; Seattle (WA); Hybrid; USD 145,000 - 217,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipend

Job summary

Stripe is seeking a Data Scientist to partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams. You\'ll build ML models, run experiments, and translate analyses into actionable decisions that drive business impact.

The role involves collaborating across Stripe to optimize processes, forecast outcomes, and quantify risk while employing a range of analytics, machine learning, and causal inference techniques. Hybrid US role with strong growth opportunities.

Qualifications

• PhD with 3+ years, MS with 6+ years, or BS with 8+ years in data science or quantitative modeling.
• Proficiency in SQL and a computing language such as Python or R.
• Experience working with cross-functional teams to deliver results, communicating results clearly and driving impact.

Responsibilities

• Partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams.
• Build machine learning and statistical models to influence product and business decisions.
• Design, run, and analyze complex experiments and causal inference designs.
• Translate analyses into actionable recommendations to drive impact.

Skills

SQL

Python

R

Cross-functional collaboration

Communication

Experimentation

AI tools

Education

PhD

MS in a quantitative field

BS in a quantitative field

Tools

Spark

Hadoop

SQL

Python

R

Job description

Stripe is seeking a Data Scientist to partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams. You\'ll build ML models, run experiments, and translate analyses into actionable decisions that drive business impact.

The role involves collaborating across Stripe to optimize processes, forecast outcomes, and quantify risk while employing a range of analytics, machine learning, and causal inference techniques. Hybrid US role with strong growth opportunities.