20 publicaciones de empleo destacadas de machine learning platform en miguel hidalgo, dif (¡Están contratando!)

Manager, Commercial Performance Analytics.
Pfizer —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Maestría
- Experiencia en bases de datos
Managing Consultant, Advisors & Consulting Services, Performance Analytics
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Inglés
14d
Channel Partner Operations Manager
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Seguro de vida
Research Analyst - Oil Supply
WM de Mexico, S. de R.L. de C.V. —Los Alpes, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Inglés
Postulación rápida
Lead Product Manager, Recommendations
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- CAD
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Data Engineering Director: eCommerce & Consumer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Desarrollo de software
- Liderazgo
Postulación rápida
AI Engineer
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior AI Application Engineer
Qualcomm —Ciudad de México, CDMX
- Doctorado
- Informática
- Java
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Data Scientist Sr 2830
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Inglés
Postulación rápida
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
Senior Application Engineer, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- JavaScript
Ingeniero de Inteligencia Artificial Generativa
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $40,000 a $80,000 por mes
- Tiempo completo
- Oracle
- DevOps
- Inglés
Postulación rápida
AI / ML Engineer
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
.Net Developer
Zurich Insurance —Ciudad de México, CDMX
- Inglés
- SQL
- HTML
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
Banamex- Data Science Senior Analyst
Citi —Ciudad de México, CDMX
- Tiempo completo
- Análisis de datos
- Licenciatura
- Sin título de educación superior
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
7d
Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
- Informática

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Manager, Commercial Performance Analytics.

Pfizer -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Power BI
Administración de personal
R
Tableau
Maestría
Experiencia en bases de datos
SQL
Licenciatura
Visualización de datos
Habilidades de comunicación
Python

Descripción completa del empleo

Work Location Assignment: Mexico City, must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.

ROLE SUMMARY

Commercial Analytics harnesses the power of data to drive robust analytical insights that inform some of Pfizer’s most critical business questions. With colleagues across the globe, the Commercial Analytics team’s rigorous analytical expertise is depended on as the compass for decision support across the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, commercial analytics, finance, market research, and consulting. As a team, we collaborate to turn data into meaningful insights that will have a direct impact on patients’ lives and the future of Pfizer as a data-driven organization.

We are seeking a Manager, Commercial Performance Analytics to serve as a hands-on individual contributor within our Mexico City analytics capability center, building the datasets, pipelines, and analytical assets that power performance tracking and insight generation for the commercial organization. This role designs and automates scalable analytics solutions in SQL, Python, and R, while partnering closely with US-based Performance Analytics and Insights (PAI) colleagues as its primary point of collaboration. Working from PAI-defined priorities, the successful candidate will help standardize and centralize the commercial analytics and reporting ecosystems and implement industry best practices in performance analytics and insight-generation processes.

This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join Global Commercial Analytics (GCA) colleagues worldwide who are dedicated to driving business through proactive thought leadership, innovative technical capabilities, and the ability to communicate complex and dynamic information in new and creative ways.

ROLE RESPONSIBILITIES

Technical Development & Analytics Solutions

Design, develop, and maintain scalable analytics solutions using SQL, Python, R, and related technologies.

Build, optimize, and automate datasets, data pipelines, and reporting frameworks to support commercial performance measurement.

Engineer and integrate data from multiple internal and external sources to create robust analytical datasets.

Develop and maintain high-quality analytical assets, including dashboards, reporting tools, and reusable code libraries.

Improve performance, reliability, and scalability of existing analytics workflows through automation and process optimization.

Leverage AI, scripting, and emerging analytical technologies to increase efficiency and analytical capabilities.

Analysis & Insight Generation

Perform advanced analyses on patient, HCP, payer, and commercial datasets to identify trends, opportunities, and risks.

Apply statistical, quantitative, and machine learning techniques to solve business problems and generate actionable insights.

Conduct data quality assessments, validation, and troubleshooting to ensure accuracy and consistency of analytical outputs.

Translate complex analytical findings into clear insights supported by quantitative evidence.

Collaboration & Partnership

Partner closely with US-based PAI colleagues as the primary point of collaboration, supporting shared analytics priorities and delivering against team-defined requirements.

Translate information needs surfaced by PAI leads into robust analytical solutions, connecting datasets to tell a clear, compelling story backed by quantitative evidence.

Work with PAI and broader analytic functions to advance the use of novel data sources and improve reporting processes, tools, and standards.

BASIC QUALIFICATIONS

• Bachelor’s degree (Master’s preferred) in a quantitative discipline such as computer science, engineering, economics, statistics or related field.

5+ years of experience in Biopharma, analytics, strategic healthcare consulting, or related fields.
Extensive expertise in SQL, Python, R, or similar; other object-oriented programming languages. Advanced knowledge of scripting tool and creation of AI agents for automation.
Understanding of data visualization tools and experience designing and building complex dashboards, including but not limited to Tableau, PowerBI, Qlik and similar.
Analytics, statistics and/or database knowledge and experience (using tools, applications, platforms, etc.).
Hands on experience in data types/formats, data architecture, pipeline/ETL optimization
Knowledge of data cloud platforms like Snowflake preferred.
Strong Project Management Skills: Overseeing complex, cross-functional projects, ensuring delivery on time and within budget.
Collaboration: Ability to prioritize, and developing action plans.
Communication: Strong written and verbal communication skills.

PREFERRED QUALIFICATIONS

Recent Healthcare Life Sciences (pharma preferred) and ecosystem professional industry experience is preferred; commercial analytics experience is a plus.

EEO (Equal Employment Opportunity) & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

Marketing and Market Research

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machine learning platform empleos en miguel hidalgo, dif

Manager, Commercial Performance Analytics.

Managing Consultant, Advisors & Consulting Services, Performance Analytics

Channel Partner Operations Manager

Research Analyst - Oil Supply

Lead Product Manager, Recommendations

Data Engineering Director: eCommerce & Consumer

AI Engineer

Senior AI Application Engineer

Data Engineer - Databricks

Data Scientist Sr 2830

Senior Data Engineer (Scala / Spark / AWS)

Senior Application Engineer, Mexico City (MX)

Ingeniero de Inteligencia Artificial Generativa

AI / ML Engineer

.Net Developer

Agent Architect

Banamex- Data Science Senior Analyst

Data Scientist - Life Sciences AI / ML

Data Engineer - CORO Products

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Quiero recibir la alerta de empleo más reciente para machine learning platform en miguel hidalgo, dif

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