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:
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Develop, deploy, and maintain forecasting, predictive, and classification models on Databricks and Microsoft Azure
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Integrate diverse data sources, including SAP BDC and certified Gold layer tables, as model inputs
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Publish model outputs and insights for Business Intelligence consumption
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Prototype and implement Generative AI solutions for business applications
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Integrate APIs for real-time data enrichment and external data connectivity
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Maintain and operate MCP (Model Context Protocol) servers to expose enterprise data for AI solutions
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Automate and optimize business processes using Python, ML frameworks, and workflow orchestration tools
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Collaborate with Data Engineering and BI teams to ensure data quality, governance, and compliance
Required Qualifications:
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Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or related field
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5+ years of experience in data science, machine learning, and AI in cloud-based environments
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Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
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Hands-on experience with Databricks and Microsoft Azure
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Familiarity with LLMs, Generative AI, and API integration
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Fluent in English (C1 level); additional languages are a plus
Preferred Certifications:
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Microsoft Certified: Azure Data Scientist Associate (DP-100)
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Databricks Certified Machine Learning Professional
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AWS Certified Machine Learning – Specialty (or equivalent cloud ML certification)
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TensorFlow Developer Certificate
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Certification in Data Governance or MLOps practices
Competencies:
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Analytical Thinking — Breaks down complex problems into structured, actionable solutions
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Innovation Mindset — Proactively explores emerging AI technologies and applies them to business needs
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Collaboration — Works effectively across cross-functional and international teams
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Communication — Translates technical concepts clearly for non-technical stakeholders
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Ownership — Takes end-to-end responsibility for model development, deployment, and performance
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Adaptability — Thrives in a fast-paced, evolving data and technology landscape
Why Join Us?
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Strategic role in HARTING's next-generation data platform
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Modern stack: Azure, Databricks, SAP BDC, and AI/ML-ready architecture
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Direct impact on data-driven decision-making across the organization
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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
