Data Scientist - AI

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