10 publicaciones de empleo destacadas de machine learning en cuauhtémoc, dif (¡Están contratando!)

Sr. Analyst - Data Science
TransUnion —Miguel Hidalgo, CDMX
- Tiempo completo
- Azure
- Administración de personal
- SQL
8d
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
8d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
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
CYBERSECURITY SPECIALIST
PROXIM —Ciudad de México, CDMX
- Tiempo completo
- Python
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Ingeniero de Datos Inversiones Alternativas - Publicación vencida
Sura —Cuauhtémoc, CDMX
- $68,000 por año
- Microsoft Excel
- Inglés
- SQL
Senior AI Engineer
The Chemours Company —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Microsoft Office
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
6d

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Data Scientist
Inetum Mexico —Ciudad de México, CDMX
More than 5 years in data science, statistical analysis, or applied research roles. Practical experience in data science projects in business environments.
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Logistics Manager for México, Costa Rica & El Salvador
Siemens Healthineers —Ciudad de México, CDMX
Minimum of 5–8 years of experience in import/export logistics processes, customs management, and logistics supplier coordination.
1d

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Sr. Analyst - Data Science

TransUnion -
Miguel Hidalgo, CDMX

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Información del empleo

Tiempo completo
Hace 8 días

Cualificaciones

Azure
Administración de personal
Estadísticas
R
Matemáticas
Google Cloud Platform
SQL
Licenciatura
Gestión de cartera de clientes
Visualización de datos
Python

Descripción completa del empleo

TransUnion's Job Applicant Privacy Notice

Team Overview

The Data Acquisition Management team is responsible for ensuring the quality, consistency, completeness, and availability of data received from clients and The Data Science & Analytics team within Analytics Consulting designs and delivers advanced analytics solutions that help financial institutions, fintechs, retailers, and other credit-granting organizations improve risk management, customer acquisition, portfolio performance, collections strategies, and customer engagement. By combining credit bureau data, alternative data, analytics, and industry expertise, the team transforms insights into consulting services and scalable solutions that create measurable business value. The team plays a critical role in advancing decision intelligence across the credit ecosystem while supporting TransUnion's broader growth strategy. This role reports to the Director, Data Science & Analytics.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

Design and deliver analytics consulting engagements that address risk management, customer acquisition, portfolio optimization, collections strategy, and customer engagement challenges.
Develop insights and analytical solutions using credit bureau data, alternative data, client portfolio information, and market intelligence to support business decision-making.
Partner with commercial, product, technology, and client stakeholders to define business objectives, scope analytical initiatives, and align deliverables with client outcomes. Conduct exploratory data analysis, segmentation, benchmarking, performance monitoring, and portfolio diagnostics to identify opportunities and quantify business impact.
Support the development, validation, implementation, and monitoring of analytical models, scores, attributes, and decision strategies while maintaining analytical rigor and governance standards.
Communicate findings and recommendations through executive-level presentations, dashboards, reports, and business cases tailored to technical and non-technical audiences.
Assess data quality, availability, and readiness to determine the feasibility and effectiveness of consulting engagements and analytical use cases.
Collaborate with cross-functional teams to operationalize analytics solutions and support scalable deployment across clients and markets.
Support client workshops and identify opportunities for expanded analytical engagements and product adoption.

Required Knowledge And Experiences

Minimum of 3 years of experience developing analytical, statistical, or machine learning models in financial services, credit risk, or consulting environments.
Strong understanding of predictive modeling techniques and model performance evaluation.
Experience working with cross-functional teams and managing competing priorities.
Hands-on experience with Python and/or R for analytics and model development.
Bachelor's degree in Statistics, Applied Mathematics, Actuarial Science, Economics, Financial Engineering, Data Science, or related discipline.

Required Technical Skills

Strong knowledge of statistics, probability, and analytical methodologies.
Advanced SQL skills working with large datasets.
Understanding of credit risk analytics concepts and portfolio management.
Experience with AWS, Azure, GCP, Databricks, or Dataiku.
Experience with data visualization and business intelligence tools.

We're also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we're happy to support your career development and growth in:

Experience managing analytical projects and stakeholder expectations.
Experience documenting methodologies and technical processes.
Prior consulting or client-facing analytics experience.
Knowledge of model governance and validation practices.
Experience working with credit bureau data.

#LI-MR1

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good , which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

TransUnion Job Title

Sr Analyst, Data Operations

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Required Technical Skills

We're also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we're happy to support your career development and growth in:

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