Data Scientist Ii

Signifyd; Xico; Híbrido; MXN 1,091,000 - 1,456,000; Jornada completa

Descripción de la vacante

A leading fraud prevention company in Veracruz seeks a Data Scientist to build machine learning models and design algorithms for fraud detection. The role requires a Bachelor's degree in a related field and 3+ years of experience. You'll work with distributed data pipelines and mentor team members while collaborating with engineering teams. This position offers competitive benefits such as life insurance, bonuses, and flexible work arrangements.

Servicios

Life insurance of 24 months salary

Annual performance bonus

Stock options

Flexible work arrangements

On-demand therapy for employees

Formación

• 3+ years of experience in a related field.
• Hands-on experience with statistical analysis and data collection.
• Ability to communicate complex ideas effectively.

Responsabilidades

• Build production machine learning models to identify fraud.
• Design algorithms for the Commerce Protection Platform.
• Research real-time emerging fraud patterns with the team.

Conocimientos

Statistical analysis

Python coding

Java coding

SQL knowledge

Data analysis in distributed environments

Educación

Bachelor's degree in computer science, applied mathematics, or related field

M.S. or Ph.D. in an analytical field

Herramientas

Linux command line

Descripción del empleo

Overview

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year.

Department

Applied Decision Science – The Applied Decision Science team drives client performance and ensures long‑term stability. We lead critical proof‑of‑value studies, conduct in‑depth pricing analyses, perform swift loss investigations, and collaborate with the Risk Intelligence, Chargeback Investigation, and Product teams to pioneer novel modeling methods, advanced feature engineering, and robust mitigation management.

Company Values

Curious and Hungry – Be willing to do research and design experiments by being hands‑on. Tenacious – Creating something new is hard work, and our Data Scientist team never gives up. Customer Passion – Be the backbone to our platform and help us stay ahead of fraudsters. Design for Scale – Work with the rest of the Data Science team to make fraud protection at scale possible. Agile – Some days you may spend doing research and designing experiments while others are spent using your analytical toolbox to surface insights into real‑time fraud attacks. Roll Up Your Sleeves – Partner closely internally to learn from others and succeed as a team.

Responsibilities

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.

Qualifications

• 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. • Experience we love to see: Data analysis in a distributed environment. Passion for writing well‑tested production‑grade code. Using visualizations to communicate analytical results to stakeholders outside your team. Working directly with Go‑to‑Market teams. Previous work in fraud, payments, or e‑commerce.

Benefits

Life Insurance of 24 months salary. Annual Performance Bonus. Christmas Bonus of 1 Month’s Salary. Stock Options. 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. Inclusion: We provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Equal Opportunity and Diversity

Signifyd is an equal‑opportunity employer. We celebrate diversity and are fully committed to creating an inclusive, safe environment for all candidates and employees.