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

Senior Data Scientist – Procurement (m/f/d)
PPG —Miguel Hidalgo, CDMX
- Tiempo completo
- Azure
- ERP systems
- SQL
Postulación rápida
0151 - Python Developer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Microsoft Office
- SQL
Postulación rápida
0152 - Data & Analytics Engineer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Inglés
- SQL
Postulación rápida
Ingeniero Senior, Datos Industriales
Constellation Brands —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
PRACTICANTE MERCADOTECNIA-INTELIGENCIA DE MERCADO
FANDELI —San Jerónimo Tepetlacalco, Méx.
- $3,000 a $3,200 por mes
- Lunes a viernes
- Microsoft Excel
- Mercadotecnia
- Ingeniería
Postulación rápida
Data Architect / Engineer
Appnovation Technologies —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- SQL
- Licenciatura
Postulación rápida
10d
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
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Senior AI Engineer
The Chemours Company —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Microsoft Office
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
9d
WordPress Developer / AI Specialist
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- JavaScript
- HTML
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
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
7d

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0151 - Python Developer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
Colaborará estrechamente con perfiles de Machine Learning Engineering/MLOps para preparar modelos y garantizar su reproducibilidad entre entornos.
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Senior Data Scientist – Procurement (m/f/d)

PPG -
Miguel Hidalgo, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Power BI
Azure
ERP systems
SQL
Mejora continua
Recursos humanos
Python

Descripción completa del empleo

Are you a data scientist who wants to move beyond models and dashboards—and actually change how the business operates? We are looking for a Senior Data Scientist to lead analytics across procurement and operations center of excellence, turning complex data into decision-ready insights that improve processes, and unlock measurable value. You will work at the intersection of advanced analytics, business strategy, and technology, partnering with global leaders to design, deploy, and scale solutions that matter.

Work model: Hybrid (3 office days, chosen by you)

Location: Curie-Skłodowskiej 12, Wrocław (Nobilis Business House)

Key Responsibilities:

Lead high-value analytics use cases from problem framing through production through Project Management Office (PMO), with clear business impact.
Build and deploy predictive and prescriptive models (forecasting, optimization, anomaly detection) using Python and SQL.
Transform complex ERP Ecosystem, supply chain, procurement and operations data into reliable, usable analytical assets.
Operationalize analytics products using modern data platforms and MLOps best practices.
Deliver executive-ready insights through compelling storytelling and Power BI dashboards.
Partner cross-functionally to drive adoption, change, and measurable value realization.
Provide technical leadership and mentorship within a global analytics COE.

Qualifications:

7+ years of experience delivering end-to-end data science or advanced analytics solutions.
Strong expertise in Python, SQL, and machine learning/statistical modeling.
Experience with modern analytics platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric.
Experience translating ambiguous business problems into applicable analytics solutions.
Stakeholder management

How we work: At PPG, we bring teams together to accelerate collaboration and career development, with in-person work Monday through Thursday and the opportunity to work remotely on Flexible Fridays. Schedules may vary by location.

About us:

PPG: WE PROTECT AND BEAUTIFY THE WORLD™

Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit www.ppg.com and follow @PPG on X.

The PPG Way 2030

We are customer champions

Proactive. Bold. Trustworthy. Everything we do starts with our customers. We listen, move fast and don’t stop until we solve their biggest challenges. When our customers win, we all grow.

We act with purpose and speed

Agile. Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively with agility, using quality data to develop solutions that create value.

We are excellent operators

Productive. Collaborative. Accountable. No matter our role, we identify problems, take ownership and always bring solutions. We are both proactive and responsive to drive continuous improvement and deliver results. We support our frontline, the faces of PPG to our customers.

We compete to win

Future-focused. Driven. Ambitious. We are passionate about growing our business and winning with our customers. We deliver results, embrace new technologies and leverage agility and speed as strengths.

We are PPG proud

Strong. United. Passionate. We work safely, act with integrity and value our diverse perspectives. We celebrate achievements and take pride in the positive impact we create together to protect and beautify the world.

At PPG we use AI in the hiring process to make the process more efficient. AI tools do not make hiring decisions. You can learn more by going to https://careers.ppg.com/us/en/candidate-resources.

PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, veteran status, sexual orientation, gender identity or expression.

If you need an adjustment due to a disability, please email [email protected].

PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply.
Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. Benefits will be discussed with you by your recruiter during the hiring process.

PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.

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