20 publicaciones de empleo destacadas en lead data scientist (¡Están contratando!)

Machine Learning Engineer - Fraud
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
- Seguro dental
- Seguro de la vista
14d
Embedded MCU Base Software Developer - Cybersecurity | Remote in México
Capgemini —Aguascalientes, Ags.
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- C++
10h
Clinical Scientist in CNS - LATAM
IQVIA —Ciudad de México, CDMX
- Inglés
- Maestría
Custom Analytics Manager II
TransUnion —Miguel Hidalgo, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Finance Project Leader
Abbott Laboratories —Querétaro, Qro.
- Tiempo completo
- Administración de personal
- Servicio al cliente
- ERP systems
11d
AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Pathfinding Senior Design Layout Engineer
Micron —Tlaquepaque, Jal.
- Maestría
- Licenciatura
- Sin título de educación superior
Sr. Data Engineer
Corning —Reynosa, Tamps.
- Azure
- Informática
- Experiencia en bases de datos
7h
Mobile Senior
Capgemini Sogeti —Aguascalientes, Ags.
- Desarrollo de software
- Habilidades de comunicación
1d
Finance Manager
Monks —Ciudad de México, CDMX
- Microsoft Excel
- ERP systems
- Inglés
Postulación rápida
Lead Staff Engineer, Layout Design
Micron —Tlaquepaque, Jal.
- Administración de personal
- Maestría
- Licenciatura
Business Intelligence Senior Analyst
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Análisis de datos
- SQL
- Licenciatura
Lead, AI Security Operations Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- Licenciatura
11h
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Requirements Engineer
Capgemini Sogeti —Guadalajara, Jal.
- Azure
- Administración de personal
- DevOps
1d
Senior Implementation Engineer
Urban Science Applications, Inc. —Colonia Polanco, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Front End Architect
Capgemini Sogeti —Aguascalientes, Ags.
- JavaScript
- HTML
1d
(CEN) PROCUREMENT PRODUCT ADVISOR
CEMEX —San Pedro Garza García, N. L.
- Administración de personal
- Inglés
- Maestría
Digital Finance Support
PepsiCo —Miguel Hidalgo, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Azure

Quiero recibir la alerta de empleo más reciente para lead data scientist

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Machine Learning Engineer - Fraud

PayJoy -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

Tiempo completo
Hace 14 días

Beneficios

Seguro dental
Seguro de la vista
Seguro de vida

Cualificaciones

Informática
Inglés
Experiencia en bases de datos
Pandas
Docker
Licenciatura
Flask
Bases de datos orientadas a grafos
Python

Descripción completa del empleo

About PayJoy

PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.

This role

As a Machine Learning Engineer, you will be responsible for developing, optimizing and deploying the ML models and infrastructure that power our fraud detection capabilities across all of PayJoy’s products and markets.

You will work closely with fraud, engineering, product, risk, and business stakeholders across diverse markets to drive the design, implementation and scaling of ML models, AI agents, and other data products (fraud review queues, transaction authorization system, etc.). Your role will also involve ensuring that we are continuously improving the quality and performance of our models by gathering and integrating new data sources that enhance our predictive capabilities.

You will own the whole lifecycle of our fraud ML models, from the feature generation to the model rollout (design, development, deployment and monitoring). You will also build infrastructure to support both manual and automated decisioning of fraud risk.

You will be part of a data science team on a mission to improve access to credit and technology in emerging markets with the opportunity of creating a big and real positive impact to our millions of users across the countries we operate in.

Responsibilities

Collaborate with global teams including Fraud, Engineering, Product, and Risk to deliver world-class data science products to international markets in Latam, South Africa and APAC.
Design, build, and deploy machine learning models for fraud detection use cases across PayJoy’s product suite
Ensure our delivered ML models are production-ready, optimized for scale and continuously improved based on feedback from our stakeholders and performance in production.
Improve our infrastructure for fraud decisioning by extending it to new entity types, identifying and constructing new rules, and supporting greater scale as we grow.
Handle large, complex datasets to clean, preprocess and extract relevant features to improve product accuracy and performance.

Write production-level code with documentation, testing and peer review.
Work with a data-driven mindset and understand the critical importance of handling data properly and safely.
Lead the testing, cost-benefit analysis and integration of new data sources to improve the accuracy and robustness of our ML models.

Work closely with our ML Platform and Tooling team to design and implement scalable feature generation and extraction pipelines and model deployment/monitoring processes.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a data scientist, machine learning engineer, data engineer or a closely related position with a proven track record of writing production-level code and developing and maintaining ML models in production.
High proficiency in Python and a strong understanding of its related libraries and frameworks (e.g., Scikit-Learn, Pandas, Flask, etc).
Comprehensive knowledge of ML lifecycle: from data extraction and feature engineering to model serving and monitoring for live and batch processing.
Demonstrated experience with cloud providers (AWS preferred) and related services like containerization (e.g., Docker).
Experience in fraud detection or other applications of machine learning in the financial market is a big plus.
Experience with LLMs or graph databases is also a plus.
Hands-on experience with Databricks for developing, deploying and monitoring machine learning workflows at scale is another plus.
Good verbal and written communication skills in English
Ability to work in a fast paced environment with constant requirement changes.

Benefits

100% Company-funded Health and dental and vision discount plan for employees and immediate family members.
Life insurance.
Phone finance, Headphone, home office equipment and wellness perks.
30 days of Christmas bonus
20 days paid Vacation
50% Vacation premium
13% Saving funds
$2,000 MXN monthly grocery coupons
$2,000 USD annual Co-working Travel perk
$2,000 USD annual Professional Development perk
Catered lunches

PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

PayJoy Principles

Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Postúlate ahora

Refina tu búsqueda

lead data scientist empleos

Machine Learning Engineer - Fraud

Embedded MCU Base Software Developer - Cybersecurity | Remote in México

Clinical Scientist in CNS - LATAM

Custom Analytics Manager II

Finance Project Leader

AI DI Engineering Manager - Mexico City

Data Engineer II, DASH Device Operations

Pathfinding Senior Design Layout Engineer

Sr. Data Engineer

Mobile Senior

Finance Manager

Lead Staff Engineer, Layout Design

Business Intelligence Senior Analyst

Lead, AI Security Operations Engineer

Machine Learning Platform Engineer

Requirements Engineer

Senior Implementation Engineer

Front End Architect

(CEN) PROCUREMENT PRODUCT ADVISOR

Digital Finance Support

Quiero recibir la alerta de empleo más reciente para lead data scientist

Related Searches

Responsibilities

Requirements

Benefits

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado