Senior Data Scientist - Remote, ML & Product Analytics

Stripe; Seattle (WA); On-site; USD 192,000 - 288,000; Full time

Benefits offered by this job

Equity

Company bonus or commissions

401(k)

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe, LLC. offers a Data Scientist role in Seattle to build statistical models, define product and operational metrics, and collaborate with product, software and business teams to extract insights from internal data.

You will forecast outcomes, measure causal impact, drive data collection, and communicate results with clear visualizations. This role offers 40 hours/week, 50% telecommuting, up to 10% travel, equity, a company bonus or commissions, a 401(k), medical/dental/vision, and wellness

Qualifications

• Master's degree in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or related field; 3 years of experience in Data Science or related occupation.
• 3 years in statistical and machine learning methods; 3 years in numerical optimization & integer programming; 3 years in SQL; 3 years in Python; 3 years in optimization; and 3 years in forecasting and ML domain.

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 modeling

Machine learning

Experiment design

Data visualization

Communication

Education

Master's degree in OR/Statistics/Industrial Eng/Analytics/Math

Tools

SQL

Python

Job description

Stripe, LLC. offers a Data Scientist role in Seattle to build statistical models, define product and operational metrics, and collaborate with product, software and business teams to extract insights from internal data.

You will forecast outcomes, measure causal impact, drive data collection, and communicate results with clear visualizations. This role offers 40 hours/week, 50% telecommuting, up to 10% travel, equity, a company bonus or commissions, a 401(k), medical/dental/vision, and wellness