
Unlock Machine Learning Potential
Há 10 horas
The Signifyd data science team plays a pivotal role in crafting production machine learning models that form the backbone of our product.
We strive to minimize fraud exposure and foster business growth, all while enhancing the e-commerce experience for individuals.
The team is responsible for the end-to-end ownership of our decisioning engine, spanning research and development, online performance, and risk management.
We value collaboration and teamwork - everyone works together to tackle complex problems.
Together we develop our skills through peer review of experiments and code, group paper study, and knowledge-sharing.
The Signifyd data science team boasts a strong remote culture, with experienced individual contributors and team leads.
Key responsibilities include:
- Improving enterprise merchant performance with household names
- Researching new fraud patterns with our Risk Intelligence team
- Enhancing the Signifyd Commerce Protection Platform
- Communicating complex ideas to executives and other audiences
- Building production machine learning models that identify fraud
- Writing production and offline analytical code in Python
- Working with distributed data pipelines
- Collaborating with engineering teams to strengthen our machine-learning pipeline
For this position, we're seeking someone with:
- A degree in computer science or a comparable analytical field
- 5+ years of post-undergrad work experience
- Experience leading projects
- Strong verbal and written communication skills
- Machine learning and statistical background, with a track record of delivering under pressure
- Ability to write code and review others' in a shared codebase in Python
- Practical SQL knowledge
- Familiarity with the Linux command line
Bonus points if you have:
- Previous work in fraud, payments, or e-commerce
- Data analysis in a distributed environment
- Passion for writing well-tested production-grade code
- A Master's Degree or PhD
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