Data Scientist II

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September 27

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Signify

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Signify - An Accumuli Company

11 - 50 employees

Founded 2000

📋 Description

• Building production machine learning models that identify fraud • Designing new algorithms that optimize all the key components of the Signifyd Commerce Protection Platform • Writing production and offline analytical code in Python and Java • Researching real-time emerging fraud patterns with the Risk Analysis team • Working with distributed data pipelines • Communicating complex ideas effectively to a variety of audiences • Collaborating with engineering teams to continuously strengthen our machine learning pipeline • Mentoring other members of the team • Feature engineering and developing client-specific models addressing regional or business needs • Adjusting thresholds and creating rules for optimal decisioning outcomes • Leading proof-of-value studies, pricing analyses, and swift loss investigations • Partnering with Risk Intelligence, Chargeback Investigation, and Product teams

🎯 Requirements

• Bachelor's degree in computer science, applied mathematics, economics, or an analytical field • Advanced degree (M.S. or Ph.D) in an analytical field is a plus • At least 3+ years of experience • Hands-on statistical analysis with a solid fundamental understanding • Designing experiments and collecting data • Writing code and reviewing others' in a shared codebase, preferably in Python and Java • Practical SQL knowledge • Familiarity with the Linux command line • Fluent in English • Data analysis in a distributed environment (preferred) • Passion for writing well-tested production-grade code (preferred) • Using visualizations to communicate analytical results to stakeholders outside your team (preferred) • Working directly with Go-to-Market teams (preferred) • Previous work in fraud, payments, or e-commerce (preferred)

🏖️ Benefits

• Health, Dental & Vision Insurance • Life Insurance of 24 months salary • Annual Performance Bonus • Christmas Bonus of 1 Month's Salary • Food Vouchers • Stock Options • Paid Parental Leave • Flexible Work Arrangements • Telework Stipend for Home Internet • 12 Paid Vacation Days with 85% Vacation Premiums • Paid Holidays • Company Social Events • Signifyd Swag • Dedicated learning budget through Learnerbly • On-Demand Therapy for all employees & their dependents