Data Scientist II - Remote

Posted 15 weeks ago

Data Analysis

Full Time

Brazil

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Overview

The Data Science team at Signifyd builds the models that power our fraud detection engine. Our machine learning pipeline keeps us one step ahead of fraudsters and their constantly evolving tactics and our research and experiments develop into new products that improve the merchant payments experience.

In Short

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

Requirements

Bachelor's degree in computer science, applied mathematics, economics, or an analytical field
An 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

Benefits

Inclusive interview experience for all, including people with disabilities
Reasonable accommodations to candidates in need of individualized support during the hiring process

Signifyd

Signifyd is a forward-thinking company dedicated to empowering businesses in the digital commerce landscape by eliminating fraud and enhancing post-purchase experiences. With a mission to build trust throughout the customer journey—from checkout to returns—Signifyd is expanding its offerings with innovative products like Instant Refunds and Selective Appeasements. The company leverages machine learning to address complex challenges in returns, aiming to deliver speed, intelligence, and personalization to merchants and their customers. As a rapidly growing organization, Signifyd values collaboration, customer feedback, and a strong sense of ownership among its team members.

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