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.

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.
Write code and review others' in a shared codebase in Python.
Practical SQL knowledge.
Design experiments and collect data.
Experience with distributed analytics and data tooling such as Spark and Databricks.
This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun. While the number of shifts is subject to change, currently it works out to about six weekends a year.
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 of running A/B tests in production environments.
An advanced degree.

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.
We're no stranger to remote work. Most of our workforce (ICs and leaders) are primarily remote. We tend to gather individual teams together once a year. There is no travel requirement for this role.
We are heavy Slack users.
We are heavy users of generative AI tools. We dislike token-maxxing, but enjoy the expansion of capabilities that have come with genAI. We ask that during the interview you don't use genAI, as we want to know what you know.

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 (12 weeks full-pay for mums & dads, plus 12 weeks half-pay for mums)
Regular paid social events organized by our social committee
Mental wellbeing resources
Dedicated learning budget through Learnerbly

1 Signifyd, Inc. jobs in England & Wales