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Data Scientist - AI
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
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1h

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Data Scientist - AI
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Integrate APIs for real-time data enrichment and external data connectivity. Strategic role in HARTING's next-generation data platform.
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Data Scientist - AI

HARTING México S.A. de C.V. -
Residencial Militar, CDMX

Postulación rápida

Información del empleo

Hace 1 hora

Cualificaciones

TensorFlow
Azure
Estadísticas
Derecho
Informática
PyTorch
AWS Certification
Matemáticas
Inglés
Maestría
Licenciatura
Python

Descripción completa del empleo

Job Purpose

Drive intelligent, data-driven solutions that transform business challenges into measurable outcomes. As a Data Scientist at HARTING, you will develop and deploy advanced AI and machine learning models, automate processes, and generate predictive insights — positioning HARTING as a forward-thinking, innovative technology partner on a global scale.

Job Responsibilities:

Develop, deploy, and maintain forecasting, predictive, and classification models on Databricks and Microsoft Azure
Integrate diverse data sources, including SAP BDC and certified Gold layer tables, as model inputs
Publish model outputs and insights for Business Intelligence consumption
Prototype and implement Generative AI solutions for business applications
Integrate APIs for real-time data enrichment and external data connectivity
Maintain and operate MCP (Model Context Protocol) servers to expose enterprise data for AI solutions
Automate and optimize business processes using Python, ML frameworks, and workflow orchestration tools
Collaborate with Data Engineering and BI teams to ensure data quality, governance, and compliance

Required Qualifications:

Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or related field
5+ years of experience in data science, machine learning, and AI in cloud-based environments
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
Hands-on experience with Databricks and Microsoft Azure
Familiarity with LLMs, Generative AI, and API integration
Fluent in English (C1 level); additional languages are a plus

Preferred Certifications:

Microsoft Certified: Azure Data Scientist Associate (DP-100)
Databricks Certified Machine Learning Professional
AWS Certified Machine Learning – Specialty (or equivalent cloud ML certification)
TensorFlow Developer Certificate
Certification in Data Governance or MLOps practices

Competencies:

Analytical Thinking — Breaks down complex problems into structured, actionable solutions
Innovation Mindset — Proactively explores emerging AI technologies and applies them to business needs
Collaboration — Works effectively across cross-functional and international teams
Communication — Translates technical concepts clearly for non-technical stakeholders
Ownership — Takes end-to-end responsibility for model development, deployment, and performance
Adaptability — Thrives in a fast-paced, evolving data and technology landscape

Why Join Us?

Strategic role in HARTING's next-generation data platform
Modern stack: Azure, Databricks, SAP BDC, and AI/ML-ready architecture
Direct impact on data-driven decision-making across the organization
Continuous investment in learning and certifications

Tags

#DataScience #MachineLearning #ArtificialIntelligence #GenerativeAI #LLM #Python #Databricks #MicrosoftAzure #CloudComputing #DataEngineering #BusinessIntelligence #MLOps #TensorFlow #PyTorch #SAPBDC #DataDriven #Innovation #HARTING #HARTINGCareers #NowHiring #JoinOurTeam #ConnectedInSuccess

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