Data Scientist
Fraud Risk
Confirmed live in the last 24 hours
ONE Finance

501-1,000 employees

Financial technology firm offering integrated banking solutions
Company Overview
ONE is a financial technology company that offers a comprehensive suite of financial services, including a banking app, debit Mastercard, and cash back offers, all with no monthly fees. The company's culture promotes humility, honesty, and innovation, providing an environment where employees can challenge the status quo alongside experienced leaders in fintech, banking, and tech. Backed by industry giants like Walmart and Ribbit Capital, ONE's competitive advantage lies in its high-yield savings rate and its commitment to helping customers manage their finances more effectively.
Fintech

Company Stage

N/A

Total Funding

$66.7M

Founded

2022

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

39%

1 year growth

117%

2 year growth

149%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Git
Apache Spark
SQL
CategoriesNew
Data Science
Data & Analytics
Requirements
  • 8 years or more of experience
  • Education in machine learning, computer science, or other technical fields
  • PhD / Master’s or 8+ years of comparable working experience
  • Experience leading machine learning programs and/or teams
  • Experience building and deploying machine learning solutions using Python and Spark in a cloud environment
Responsibilities
  • Leading machine learning programs through the lifecycle from conception to production
  • Bringing thought leadership around fraud risk mitigation and working with cross-functional teams to define decision model programs
  • Gathering data through model training / evaluation / productionalization
  • Owning the ongoing results of productionalized models, including evaluation and automation of a redeployment process
  • Assisting with feature store and library development for the analytic environment
  • Working in a batch analytic environment and a streaming environment
  • Critically troubleshooting other analytic programs and results
  • Creating documentation and automating reporting and model diagnostics
  • Using version control tools (Git)
  • Successfully working in a Python / SQL environment
  • Additional duties as assigned by your manager