Data Scientist - AI

HARTING stands for strong connections – across the globe. As one of the leading international suppliers of industrial connectivity, we are connecting customers to their digital future. And as an employer? We connect around 6,000 people at our headquarter in Espelkamp and at locations worldwide. Here you’ll find great colleagues, as well as ever new opportunities and innovations revolving around IoT and artificial intelligence. In everything we do, we remain true to our roots: as a regionally connected family business that always stays firmly grounded in spite of our stellar high-tech. Here’s to your unique future with us: Yours!

Become a part of the international HARTING Technology Group as a

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

Benefits: Team work (NAZHA)