20 publicaciones de empleo destacadas de data scientist en 56610 alfredo baranda méx. (¡Están contratando!)

Machine Learning Engineer - Data Science
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Licenciatura
- Seguro dental
- Seguro de la vista
Ingeniero de Inteligencia Artificial
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $50,000 a $85,000 por mes
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
Data Engineer
entropia AI —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Java
- SQL
Postulación rápida
Sr. Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
AML QA Analyst
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Inglés
- SQL
- Seguro dental
- Seguro de la vista
Postulación rápida
6d
Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- Informática
- Maestría
Data Quality & Governance Engineer
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- SQL
- Control de calidad
- Python
Data Scientist , Amazon Music - DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Maestría
- SQL
Data Architect
BMC Software —Ciudad de México, CDMX
- $1,470,000 a $2,450,000 por año
- Azure
- Salesforce
- SQL
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Decision Intelligence Analyst - Mexico City
ailylabs —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Postulación rápida
ML Ops Engineer JR
Ucloud —Ciudad de México, CDMX
- DevOps
- Python
Postulación rápida
FBS - Associate Decision Scientist
Capgemini —Ciudad de México, CDMX
- Trabajo híbrido
- SQL
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
Scientist, Senior
Infor —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
13d
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
7d
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Marketing Data Scientist
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Microsoft Excel
- Azure
- Doctorado
Postulación rápida
Cost Specialist Sr (Data Center)
AECOM —Ciudad de México, CDMX
- Tiempo completo
- Recursos humanos
- Presencial
- Liderazgo
- Plan de adquisición de acciones empresariales
- Seguro dental

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Machine Learning Engineer - Data Science

PayJoy -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Beneficios

Seguro dental
Seguro de la vista
Seguro de vida

Cualificaciones

Informática
Tooling
Inglés
Pandas
Docker
Licenciatura
Flask
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 ML models that power our fraud detection, credit risk and other applications like cross-sell, churn and collections.

You will work closely with risk, fraud, engineering, product and business stakeholders across diverse markets to drive the design, implementation and scaling of ML models. 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 ML models, from the feature generation to the model rollout (design, development, deployment and monitoring).

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 Risk, Fraud, Engineering and Product to deliver world-class data science products to international markets in Latam, South Africa and APAC
Design, build, and deploy machine learning models for a variety of use cases, including fraud detection, credit risk modeling, customer segmentation, collections and churn.
Ensure our delivered ML models are production-ready, optimized for scale and continuously improved based on feedback from our stakeholders and performance in production.
Handle large, complex datasets to clean, preprocess and extract relevant features to improve model 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 credit risk modeling, fraud detection or other applications of machine learning in the financial market is a big plus.
Hands-on experience with Databricks for developing, deploying and monitoring machine learning workflows at scale is also a 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.

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data scientist empleos en 56610 alfredo baranda méx.

Machine Learning Engineer - Data Science

Ingeniero de Inteligencia Artificial

Data Engineer

Sr. Data Scientist

AML QA Analyst

Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico

Data Quality & Governance Engineer

Data Scientist , Amazon Music - DISCO

Data Architect

Data Engineer - Databricks

Decision Intelligence Analyst - Mexico City

ML Ops Engineer JR

FBS - Associate Decision Scientist

Senior Data Scientist, DTC

Scientist, Senior

Software Development Engineer, Big Data

AI Native Data Engineer

Senior Data Engineer

Marketing Data Scientist

Cost Specialist Sr (Data Center)

Quiero recibir la alerta de empleo más reciente para data scientist en 56610 alfredo baranda méx.

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