Salary
💰 $140,000 - $160,000 per year
Tech Stack
Cyber SecurityLinuxPythonSQL
About the role
- Build production machine learning models that are the core of Signifyd's product.
- Help businesses minimize fraud exposure and grow sales; reduce incorrect declines and deter account hijacking.
- End-to-end ownership of the decisioning engine from research and development to online performance and risk management.
- Value collaboration and team ownership; develop skills through peer review, paper study, demos, and cross-team projects.
- Be directly responsible for enterprise merchants' performance and research real-time fraud patterns with the Risk Intelligence team.
- Improve components of the Signifyd Commerce Protection Platform and communicate complex ideas to varied audiences, including executives.
- Write production and offline analytical code in Python, work with distributed data pipelines, and collaborate with engineering to strengthen ML pipelines.
Requirements
- A degree in computer science or a comparable analytical field
- 5+ years of post-undergrad work experience required
- Experience leading projects
- Strong verbal and written communication skills
- Strong machine learning and statistical background and a track record of being able to deliver under pressure.
- Write code and review others' in a shared codebase in Python
- Practical SQL knowledge
- Design experiments and collect data
- Familiarity with the Linux command line