Senior Data Scientist I - Remote

Posted 8 weeks ago

Data Analysis

Full Time

Mexico

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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 to a variety of audiences
Collaborating with engineering teams to strengthen the machine-learning platform

Requirements

Bachelor's degree in computer science, applied mathematics, economics, or an analytical field
At least 5+ years of experience
Building production ML models
Hands-on statistical analysis
Designing experiments and collecting data
Writing code in Python
Practical SQL knowledge
Familiarity with the Linux command line
Fluent in English
This role has on-call shifts, as part of our weekend rotation.

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

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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