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Data Scientist II

7 hours, 55 minutes ago
United Kingdom
Full-time
Mid Level
Data Scientist
Data Science and Analytics
Apache Spark Databricks Generative AI Machine Learning Python SQL
Apply Now
Signifyd

Signifyd

Signifyd provides comprehensive ecommerce fraud protection services, including revenue protection, abuse prevention, and payment compliance, with a financial guarantee for online retailers to grow confidently and securely.

IT Services
251-1K
Founded 2011
$407M raised
View All Jobs 10

Description

  • Partner with Business Unit Leads and merchant portfolios to identify decisioning-performance gaps and implement solutions.
  • Build, deploy, and maintain production machine-learning models that detect fraud.
  • Develop automation to reduce repetitive manual work.
  • Run experiments to identify effective decisioning strategies while balancing complexity and performance.
  • Communicate complex technical concepts to Customer Success, Sales, and occasional external customers.
  • Write production and offline analytical code in Python.
  • Work with distributed data pipelines and analytics environments using Spark, Databricks, and GCP.
  • Participate in peer review, knowledge sharing, and end-to-end evaluation of experiments and code.
  • Participate in the weekend on-call rotation, currently approximately six weekends per year.

Requirements

  • Degree in computer science or a comparable analytical field.
  • 3+ years of post-undergraduate work experience.
  • Strong machine-learning and statistical background.
  • Strong verbal and written communication skills.
  • Ability to write and review Python code in a shared codebase.
  • Practical SQL knowledge.
  • Experience designing experiments and collecting data.
  • Experience with distributed analytics and data tools such as Spark and Databricks.
  • Experience with fraud, payments, or e-commerce is preferred.
  • Experience with distributed data analysis, production A/B testing, AI coding agents, or automation is preferred.
  • Passion for writing well-tested, production-grade code is preferred.
  • Advanced degree is preferred.

Benefits

  • Remote-first work environment with no travel requirement.
  • Stock options.
  • Annual performance bonus or commissions.
  • Pension matched up to 8%.
  • Health, dental, and optical insurance from day one.
  • Generous annual leave plus public holidays.
  • Enhanced maternity and paternity leave.
  • Mental wellbeing resources and regular paid social events.
  • Dedicated learning budget through Learnerbly.
  • Cycle to Work Scheme.

Interested in this position?

Apply directly on the company website

Apply Now

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