Senior Data Scientist - Remote

Posted Yesterday

Data Analysis

Full Time

Worldwide

Overview

The Data Science team builds production machine learning models that are the core of Signifyd's product, helping businesses minimize fraud exposure and improve e-commerce experiences.

In Short

Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines
Communicating complex ideas effectively
Collaborating with engineering teams
End-to-end ownership of decision engine
Team collaboration and knowledge sharing
Hands-on research and design experiments
On-call shifts as part of weekend rotation
Remote work culture with a focus on improvement

Requirements

Bachelor's degree in computer science, applied mathematics, or related field
5+ years of experience in data science
Experience building production ML models
Hands-on statistical analysis skills
Proficiency in Python and SQL
Familiarity with Linux command line
Fluent in English
Ability to work collaboratively in a team
Experience with fraud, risk, payments, or e-commerce is a plus
Willingness to engage in on-call shifts

Benefits

Inclusive interview experience for all candidates
Support for candidates with disabilities
Opportunities for professional growth
Collaborative work environment
Flexible remote work culture

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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