Senior Data Scientist I

Signifyd; São Paulo; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading company in fraud detection seeks a Data Scientist to join their Data Science team. You will build and enhance machine learning models that minimize fraud exposure and improve e-commerce experiences. The role requires strong statistical analysis skills, proficiency in Python, and collaboration with engineering teams. Join a remote-friendly culture that values continuous learning and innovation.

Qualificações

• 5+ years of experience in data science or related field.
• Strong statistical analysis skills.
• Proficiency in Python coding and code review.

Responsabilidades

• Building ML models for fraud detection.
• Writing production and analytical Python code.
• Collaborating with engineering teams to enhance the ML platform.

Conhecimentos

Statistical analysis

Python coding

SQL

Linux command line

Formação académica

Bachelor's in CS, math, economics, or related field

Descrição da oferta de emprego

The Data Science team builds production machine learning models that are core to Signifyd's product, helping businesses minimize fraud exposure and grow sales. Our product improves e-commerce experiences by reducing order declines and making account hijacking less profitable for criminals.

The team owns the decision engine end-to-end, from research to online performance and risk management. We value collaboration, team ownership, and continuous learning through peer reviews, group studies, and knowledge sharing via demos, write-ups, and cross-team projects.

Signifyd has a strong remote culture, with many remote contributors and leaders, and we continuously seek to improve this culture.

We seek someone who embodies our company values:

• Curious and Hungry: Willing to research and experiment hands-on
• Tenacious: Persistent in creating solutions
• Customer Passion: Focused on staying ahead of fraudsters
• Design for Scale: Able to build scalable fraud protection solutions
• Agile: Adaptable between research and real-time analysis
• Roll Up Your Sleeves: Collaborate closely and learn from others

Impact:

• Building ML models for fraud detection
• Writing production and analytical Python code
• Working with distributed data pipelines
• Communicating complex ideas effectively
• Collaborating with engineering teams to enhance our ML platform

Requirements:

• Bachelor's in CS, math, economics, or related field or equivalent experience
• 5+ years of experience
• Strong statistical analysis skills
• Experience designing experiments and data collection
• Proficiency in Python coding and code review
• Practical SQL knowledge
• Familiarity with Linux command line
• Availability for on-call shifts, approximately six weekends a year

Bonus points if you have:

• Advanced degree (Master's or PhD)
• Experience in fraud, risk, payments, or e-commerce
• Experience working with GTM teams
• Distributed data analysis experience
• Passion for production-grade, well-tested code