Data Science Expert in Payments and Risk Optimization

7 days ago


San Francisco, California, United States Monograph Full time

About Gusto

Gusto is a modern, online platform that empowers small businesses to take care of their teams. Our comprehensive solutions include full-service payroll, health insurance, 401(k)s, expert HR, and team management tools.

We're committed to building a collaborative and inclusive workplace where work empowers a better life. That's why we're dedicated to creating a world-class, high-security platform that safeguards our users' activities and money, ensuring unparalleled reliability.

As a Senior Data Scientist on our Payments and Risk team, you'll work closely with cross-functional teams to build platforms that span the entire breadth of payments and risk stacks. You'll leverage Gusto's rich dataset to guide product direction and decision-making, applying data insights to strategy and product decisions.

Your day-to-day responsibilities will include:

  • Partnering with Engineering, Design, and Product counterparts to solve complex cross-functional problems.
  • Performing in-depth analyses of payments and risk data to evaluate risk signals, build controls, and strategies.
  • Identifying new opportunities to leverage data to improve Gusto's products and help payments and risk teams understand business requirements and develop tailored solutions.
  • Working with our business intelligence teams to turn your insights and analyses into clean and consistent reporting.
  • Presenting and communicating results to stakeholders across the company.

We're looking for a skilled Senior Data Scientist with at least 5 years of experience working in a business setting. Your strong SQL skills and comfort in scripting or statistical programming languages (ideally Python and/or R) are essential. You should have demonstrated knowledge of statistics and machine learning, with the ability to apply these concepts to conducting and interpreting analyses, data visualization, presentation, and recommendations.

A successful candidate will be able to effectively communicate and deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion. If you're passion-driven and eager to teach and evangelize a data-informed approach to product development, we'd love to hear from you

Our estimated annual salary for this role is $171,600 - $214,400, depending on location and experience. We value diversity and inclusion and are an equal opportunity employer. Join us in shaping the future of payments and risk optimization



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