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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