Data Scientist II

September 2, 2026
Application ends: December 1, 2026
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Job Description

Responsibilities: 

  • Partner with the Business Unit Lead and their merchant portfolio to identify gaps in decisioning performance and implement solutions, with guidance from senior team members.
  • Utilize existing, or build net new production machine learning models that identify fraud, in collaboration with other data scientists and machine learning engineers.
  • Identify and build automation that reduces repetitive manual work.
  • Run experiments to identify optimal decisioning strategies, balancing complexity and performance.
  • Communicate complex ideas to a variety of audiences, from Customer Success and Sales, to limited interactions with external customers.
  • Write production and offline analytical code in Python.
  • Work with distributed data pipelines in Spark/Databricks/GCP.

Requirements: 

  • A degree in computer science or a comparable analytical field.
  • 3+ years of post-undergrad work experience required.
  • Strong verbal and written communication skills.
  • Strong machine learning and statistical background.
  • Write code and review others’ in a shared codebase in Python.
  • Practical SQL knowledge.
  • Design experiments and collect data.
  • Experience with distributed analytics and data tooling such as Spark and Databricks.
  • This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun. While the number of shifts is subject to change, currently it works out to about six weekends a year.

Nice to Have:

  • Previous work in fraud, payments, or e-commerce.
  • Data analysis in a distributed environment.
  • A passion for writing well-tested production-grade code.
  • Experience with AI coding agents and automation.
  • Experience of running A/B tests in production environments.
  • An advanced degree

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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