Senior Data Scientist - LATAM

The Data Science team at Signifyd is responsible for building production machine learning models that form the foundation of the company's product. Their goal is to help businesses minimize fraud exposure and increase sales, ultimately improving the e-commerce shopping experience for individuals. The team has end-to-end ownership of the decision engine, from research and development to online performance and risk management. Collaboration, team ownership, and continuous skill growth through peer reviews and knowledge sharing are highly valued. The ideal candidate should embody the company values and be passionate about creating scalable fraud protection solutions.

• Building production machine learning models that identify fraud
• Writing production and offline analytical code in Python
• Working with distributed data pipelines
• Communicating complex data science concepts to both technical and non-technical stakeholders
• Collaborating with cross-functional teams to improve fraud protection at scale
• Conducting research and designing experiments to improve the decision engine
• Participating in peer reviews, group studies, and knowledge sharing to deepen ML and stats understanding
• Partnering closely with internal teams to learn from others and succeed as a team

• Fluent in English
• Experience in building production machine learning models
• Knowledge of fraud identification
• Proficient in Python for writing production and offline analytical code
• Familiarity with distributed data pipelines
• Strong communication skills

• Building production machine learning models
• Writing production and offline analytical code in Python
• Working with distributed data pipelines
• Communicating complex ideas effectively
• Collaborating with engineering teams
• Bachelor's degree in computer science, applied mathematics, economics, or an analytical field or equivalent practical experience
• At least 4+ years of experience
• Hands-on statistical analysis
• Designing experiments and collecting data
• Writing code and reviewing others' in a shared codebase, preferably in Python
• Practical SQL knowledge
• Familiarity with the Linux command line
• Fluent in English
• Advanced degree in an analytical field (Master, PHD) (bonus)
• Previous work in fraud, risk, payments, or e-commerce (bonus)
• Data analysis experience in a distributed environment (bonus)
• Passion for writing well-tested production-grade code (bonus)