Senior Data Scientist
Stripe•3h ago
United StatesOnsite$192K–$288KFull-timeSenior Level5+ yrs exp
H-1B sponsor
Top focus
Data ScientistSenior Data ScientistVp Data
- Who we are
- About Stripe
- Stripe, LLC. 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
- accelerate new business opportunities. Our mission is to increase the GDP of the internet
- 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.
- What you’ll do
- 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.
- Who you are
- Minimum requirements
- Must have a Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of experience in Data Science or a related occupation.
- Must have three (3) years in each of the following:
- Statistical and machine learning methods;
- Numerical optimization & integer programming;
- SQL;
- Python;
- Optimization; and
- Forecasting and machine learning domain.
- Salary: $192,000.00 - $288,000.00/yr
- This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.
- 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
- #LI-DNI
Required skills
Python