• Locations
    • United States
    • Remote
  • Date Posted
  • Nov. 23, 2021
  • Function
  • Data Science
  • Sector
  • Fintech

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)

#LI-remote