Stripe

Senior Data Scientist

Stripe$192K — $288K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

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 roles.
  • Proficiency in statistical and machine learning methods.
  • Experience in numerical optimization & integer programming.
  • Strong skills in SQL and Python for data manipulation and analysis.
  • Familiarity with forecasting and machine learning domains.

Responsibilities

  • Build statistical models and analyze product and operational metrics.
  • Collaborate with product and business teams to address key questions with data.
  • Formulate innovative solutions in partnership with other data scientists and engineers.
  • Conduct exploratory data analysis to understand user behavior for product development.
  • Drive the collection and enhancement of data sources.
  • Apply machine learning techniques on large datasets to assess results and identify causal impacts.
  • Communicate complex findings effectively through visualizations.

Benefits

  • Equity opportunities and potential company bonuses.
  • 401(k) retirement plan.
  • Comprehensive medical, dental, and vision insurance.
  • Wellness stipends to promote health and wellbeing.
  • Flexible telecommuting options with up to 50% remote work allowed.
Full Job Description
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
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About Stripe

Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies—use our software to accept payments and manage their businesses online. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Stripe powers businesses all over the world, from the new startup that just launched yesterday to the Fortune 500 companies that we all know and love. Stripe is headquartered in San Francisco, with offices in Dublin, London, Paris, Singapore, Tokyo, and more.
Learn more about Stripe
Size
4,000 employees
Industry
Founded
2010

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