Data Scientist II - Signifyd

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.

Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity.

The Applied Decision Science (ADS) team builds production ML models and risk management tools that are the core of Signifyd's product. We help businesses of all sizes minimize their fraud exposure and grow their sales by reducing friction for good buyers and blocking fraudulent purchase attempts.

About the Role

Data scientists at Signifyd are true "full stack" operators, requiring knowledge of how transaction information received via our API traverses its way through our system and into the models we are responsible for building. When you test a hypothesis at Signifyd, you’re responsible for the end-to-end development, deployment, and evaluation process.

• Remote Culture: Most of our workforce is primarily remote. We gather individual teams together once a year. There is no travel requirement for this role.
• On-Call: This role has on-call shifts as part of our weekend rotation (Fri/Sat/Sun), currently working out to about six weekends a year.

Responsibilities

• Partner with the Business Unit Lead and their merchant portfolio to identify gaps in decisioning performance and implement solutions, with guidance from senior team members.
• Utilize existing, or build net new production machine learning models that identify fraud, in collaboration with other data scientists and machine learning engineers.
• 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, from Customer Success and Sales, to limited interactions with external customers.
• Write production and offline analytical code in Python.
• Work with distributed data pipelines in Spark/Databricks/GCP.

Requirements

• A degree in computer science or a comparable analytical field.
• 3+ years of post-undergrad work experience required.
• Strong verbal and written communication skills.
• Strong machine learning and statistical background.
• Ability to write code and review others' in a shared codebase in Python.
• Practical SQL knowledge.
• Experience designing experiments and collecting data.
• Experience with distributed analytics and data tooling such as Spark and Databricks.

Nice to Have

• Previous work in fraud, payments, or e-commerce.
• Data analysis in a distributed environment.
• A passion for writing well-tested production-grade code.
• Experience with AI coding agents and automation.
• Experience running A/B tests in production environments.
• An advanced degree.

UK Benefits

• Stock Options
• Annual Performance Bonus or Commissions
• Pension matched up to 8%
• ‘Day one’ access to great health, dental and optical insurance scheme
• Generous annual leave plus public holidays
• Cycle to Work Scheme
• Enhanced maternity and paternity leave
• Regular paid social events organized by our social committee
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly