Data Scientist, Payment Ops & Risk

Build the world's fastest Identity and Checkout products

Company Mission

Our mission is to make buying online faster, safer and easier for everyone. Fast Login and Fast Checkout enable a one-click sign-in and purchasing experience that makes it easier for people to buy and merchants to sell. The company's products work on any browser, device or platform to deliver a consistent, stress-free purchasing experience. Fast is entirely consumer-focused and invests heavily in its users' privacy and data security. Headquartered in San Francisco but open to a globally remote workforce, we are a founders-led, privately held company funded by Stripe, Index Ventures, Susa Ventures and other world-class investors.

Summary

The Payment Operations & Risk (POR) team at Fast works daily to build and operate a world-class payment processing platform free of payment failures and fraud, and as reliable as clockwork for both buyers and sellers engaged in e-commerce across the Internet. Our team is searching for an experienced Data Scientist to help us achieve our mission. This will be a key role ensuring that the Payment Operations & Risk team has world-class data reporting, visualization, and modeling.

• Are you passionate about payments, enjoy working with big data, and want to help build a data-centric culture?
• Then this position is for you!

Role

• Make business recommendations and evaluate business performance based on metrics like payment decline rate analysis, 3rd party vendor efficacy, downstream effects of product/feature changes, etc
• Create interactive visualizations and dashboards to support payment operations in lieu of ad hoc analyses
• Build and automate reports to surface top-line metrics to key stakeholders
• Design and maintain data layers to define and structure payments data
• Partner with stakeholders to design full cycle data narratives that include data gathering, analysis, ongoing scaled deliverables, and presentations
• Create models and experiments to address business needs and identify growth opportunities
• Collaborate with the broader Data Science org as a POR stakeholder and key partner

Requirements

• 5+ years in data analytics/data science
• Profound experience with SQL and querying databases
• Strong experience working with R and/or Python
• Bachelor's Degree or equivalent practical experience

Bonus

• Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, or other similar field
• Prior experience with experimentation and/or modeling
• Looker experience
• Ability to work independently as well as collaboratively
• Passion to own data from end to end
• Benefits and Perks - Because People Matter
• We are committed to diversity and inclusion, and demonstrate our values through equitable pay, fantastic benefits, and access to all reasonable accommodations.

See what Fast can offer you:

• Comprehensive Medical, Dental and Vision insurance (99% paid by Fast)
• Globally remote with flexible work schedules and commuter benefits to fit your needs
• Generous maternity & paternity leave for all family caregivers

401k match up to 4%

Competitive Salary & Equity

• People-focused, unlimited & flexible paid time off
• Inclusive events & programs to allow everyone to express their voice (or dance skills)
• Monthly exercise, internet & office equipment stipends (and great snack perks)

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