7 publicaciones de empleo destacadas de machine learning en loreto, dif (¡Están contratando!)

Business Intelligence Developer I, Google Cloud
Google —Ciudad de México, CDMX
- Experiencia en ventas
- Inglés
- Maestría
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Staff I Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
Postulación rápida
10d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
WordPress Developer / AI Specialist
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- JavaScript
- HTML
Postulación rápida
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
12d
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
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10d

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Business Intelligence Developer I, Google Cloud

Google -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Looker
Power BI
Modelado de datos
Data mining
Go
Experiencia en ventas
Inglés
Tableau
Maestría
SQL
Licenciatura
JavaScript
Python
HTML

Descripción completa del empleo

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
4 years of experience in data modeling, developing data sets, or creating data visualizations.
Experience writing SQL queries.
Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.

Preferred qualifications:

MBA, Master's degree, or advanced degree in a technical or scientific field of study.
Experience supporting data-driven sales operations, consulting, or program management and strategic cross-functional BI initiatives in a cloud business.
Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
Experience working with systems for collaborative code reviews including version control.
Experience developing AI agents.
Familiarity with statistical modeling, machine learning, or data mining techniques.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The Performance and Continuous Excellence (PACE) Intelligence team is the global Business Intelligence (BI) foundation of Google Cloud, designed to accelerate sales growth through AI agents, advanced reporting, and streamlined performance management. We are responsible for building the semantic source of truth for the business, delivering reporting capabilities that serve over 10,000 sellers across the cloud Go-to-Market (GTM) organization. By empowering GTM and Regional teams with scalable insights, a resilient data layer, and innovative Key Performance Indicators (KPIs), we enable our sellers to deeply understand their book of business and bring the very best of Google to their customers. Ultimately, our mission is to drive business success and execute our cloud strategy through an insights-led ecosystem of dashboards, agents, and expert analysts.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Transform data into actionable insights by developing data models, data marts, and automating reporting processes to provide leadership with a clear picture of key business and process performance.
Develop, test, and maintain AI agents that integrate with existing data pipelines to scale the generation and delivery of actionable business intelligence.
Develop data infrastructure, which includes building SQL scripts, creating data pipelines, data warehouses, crafting investigative models, and designing user-friendly dashboards.
Lead assigned projects from conceptualization to delivery and ensure your data solutions offer relevant, high-quality data and insights to propel the growth of the business.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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