Senior Data Scientist - Hybrid, ML & Metrics Leader

EngineersOfAI; Seattle (WA); Hybrid; USD 192,000 - 288,000; Full time

Benefits offered by this job

Equity

Bonus / commissions

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Telecommuting

Job summary

Stripe, LLC is seeking a Data Scientist to build statistical models, analyze product and operational metrics, and work with cross‑functional teams to drive experimentation and data‑driven decisions.

You will collaborate with product, engineering, and business teams, apply ML on large datasets, monitor key metrics, and communicate results clearly; 40 hours per week with 50% telecommuting and up to 10% travel.

Qualifications

• Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field.
• Three years of experience in Data Science or a related occupation.
• Three years in Statistical and machine learning methods; Numerical optimization & integer programming; SQL; Python; Optimization; Forecasting and machine learning domain.
• Salary: $192,000.00 - $288,000.00/yr
• 40 hrs/week
• 50% Telecommuting Permitted.
• Up to 10% domestic travel required.
• Multiple Positions Available.
• Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA34

Responsibilities

• Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data.
• Work closely with product and business teams to identify important questions and answer them with data.
• Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques.
• Conduct exploratory analysis on internal data to understand user behavior to inform product development.
• Drive the collection of new data and the refinement of existing data sources.
• Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution.
• Predict future performance of users or products.
• Define, measure, and monitor key outcome metrics for teams and support Stripe’s business.
• Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization.
• Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development.

Skills

Statistical methods

Machine learning

SQL

Python

Optimization

Forecasting

Education

Master's degree in Operations Research / Statistics / Industrial Engineering / Business Analytics / Mathematics

Job description

Stripe, LLC is seeking a Data Scientist to build statistical models, analyze product and operational metrics, and work with cross‑functional teams to drive experimentation and data‑driven decisions.

You will collaborate with product, engineering, and business teams, apply ML on large datasets, monitor key metrics, and communicate results clearly; 40 hours per week with 50% telecommuting and up to 10% travel.