18 publicaciones de empleo destacadas de ai engineer marketing en meyahualco cdmx (¡Están contratando!)

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
Software Engineering Analyst - Keynote Demos
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- JavaScript
- HTML
14d
Principal AI Go-to-Market Operations Engineer
Redzone —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
- Matemáticas
- JavaScript
Postulación rápida
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
AI & Software Engineering Senior Manager
PMG —Ciudad de México, CDMX
- Preparación de alimentos
- Inglés
- JavaScript
- Ayuda o servicio de transporte
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
AI & Software Engineer Lead
PMG —Ciudad de México, CDMX
- Inglés
- Maestría
- Experiencia en bases de datos
- Ayuda o servicio de transporte
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Full-Stack Developer / AI Specialist (Full-Time / On-Call)
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- JavaScript
Postulación rápida
Customer Engineer, Google Workspace and Gemini Enterprise
Google —Ciudad de México, CDMX
- Administración de personal
- Informática
- Disponibilidad para viajar hasta un 50 %
6d
Senior Director, Software Engineering
Coca-Cola —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
3d
Kasten Specialist SE, Latam
Veeam Software —Ciudad de México, CDMX
- Azure
- Experiencia en ventas
- DevOps
- Descuento de gimnasio
- Seguro de vida
Analytics Associate Director, GOC
WPP Media —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
Instructors Senior
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Mercadotecnia
- Salesforce
Agent Architect
Pencil —Ciudad de México, CDMX
- Tiempo completo
- Python
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
Postulación rápida
4d
Data Analyst
Tillster —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Análisis de datos
- SQL
Postulación rápida
Channel Partner Operations Manager
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Seguro de vida
5d
Senior GTM Systems Manager
Karat —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- Salesforce
Postulación rápida
Enterprise Account Executive (Sales)
Desteia —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Informática
- Experiencia en ventas
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida

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AI Engineer Jr
Ucloud —Ciudad de México, CDMX
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A1QA —Del Valle Centro, CDMX
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Data Scientist , Amazon Music - DISCO

Servicios Comerciales Amazon Mexico S. de R.L. de C.V. -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

MATLAB
Doctorado
SAS
Big data
Upselling
Maestría
SQL
Perl
Python

Descripción completa del empleo

DESCRIPTION

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

The Data, Insights, Science and Optimization, Music Product and Tech (DISCO M&G) team is looking for a Data Scientist to join a team of scientists and engineers who analyze big data, provide analytics and insights and build models and algorithms to power Music product experiences. In this role, you will set the science vision and direction for the team and collaborate with internal stakeholders across marketing tech, Product , science and finance to scale and advance our science offerings. You will lead large scale science solutions, prioritize across multiple stakeholders and projects and be part of a fast-paced, dynamic and fun environment.

Key job responsibilities

Lead the research and development of models and science products powering customer identity, acquisition, and retention strategies for Amazon Music

Partner with Marketing and Growth leadership to develop science-driven business strategies, including subscriber segmentation, lifecycle management, and upsell programs

Build predictive models — including propensity, uplift, and causal inference models — to support targeted marketing initiatives, measure incremental impact, and automate deep dives into key metric variances

Collaborate with product, engineering, and marketing teams to evaluate the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation

Analyze experiment results and provide data-driven recommendations to optimize subscriber acquisition and retention outcomes

Partner with Senior Data Scientists and Product Managers to define, propose, and validate success and guardrail metrics for identity and growth programs

Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices, encouraging a culture of evidence-based decision making

About the team
The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touch points.

BASIC QUALIFICATIONS

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of working with or evaluating AI systems experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment

PREFERRED QUALIFICATIONS

Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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ai engineer marketing empleos en meyahualco cdmx

Data Scientist , Amazon Music - DISCO

Software Engineering Analyst - Keynote Demos

Principal AI Go-to-Market Operations Engineer

Machine Learning Platform Engineer

AI & Software Engineering Senior Manager

AI & Software Engineer Lead

Senior Full-Stack Developer / AI Specialist (Full-Time / On-Call)

Customer Engineer, Google Workspace and Gemini Enterprise

Senior Director, Software Engineering

Kasten Specialist SE, Latam

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AI Business Operations Analyst - Mexico City (Hybrid)

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Agent Architect

Data Analyst

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Quiero recibir la alerta de empleo más reciente para ai engineer marketing en meyahualco cdmx

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