Data Scientist II

About the role

The Applied Decision Science team builds production machine learning models and risk management tools that form the core of Signifyd's product. Data scientists in this role are full-stack operators responsible for the end-to-end development, deployment, and evaluation of models to help merchants minimize fraud and grow sales. You will work collaboratively to standardize and automate processes while contributing to a culture of peer review and knowledge sharing.

Responsibilities

• Partner with the Business Unit Lead and their merchant portfolio to identify gaps in decisioning performance and implement solutions.
• Utilize existing or build new production machine learning models that identify fraud.
• 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, including Customer Success and Sales.
• Write production and offline analytical code in Python.
• Work with distributed data pipelines in Spark, Databricks, and GCP.

Required skills

• Python
• Machine learning
• Statistics
• SQL
• Spark
• Databricks
• Distributed analytics

Nice to have

• Fraud detection
• Payments
• E-commerce
• AI coding agents
• A/B testing

Qualifications

• Degree in computer science or a comparable analytical field
• Advanced degree

Benefits

• Stock Options
• Annual Performance Bonus
• Pension matched up to 8%
• Health insurance
• Dental insurance
• Optical insurance
• Annual leave
• Cycle to Work Scheme
• Enhanced maternity and paternity leave
• Learning budget

About the Company

Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Their advanced technology creates frictionless shopping experiences, approves more good orders, protects revenue, and keeps customers happy.