Data Scientist II - Remote

Posted 8 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 leading provider of fraud protection and payment solutions for eCommerce businesses. The company focuses on delivering exceptional customer support through a dedicated team of technical specialists who assist clients in navigating complex technical issues and optimizing their use of Signifyd's platform. With a commitment to innovation and customer satisfaction, Signifyd collaborates closely with various cross-functional teams, including engineering and product development, to ensure seamless service delivery and rapid resolution of technical challenges. The company values autonomy, creativity, and a strong work ethic, fostering an environment where employees can thrive while providing top-notch support to world-class clients.

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