Job
- Level
- Senior
- Location
- Kitzingen
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop end-to-end Data Science and AI solutions, create custom AI models using LLMs, analyze large datasets, and implement MLOps practices to enhance business processes.
Job Technologies
Your role in the team
- Contribute to our data science and AI products by delivering end-to-end solutions, including problem and metric definition, data collection, model development, validation, deployment, and monitoring, to solve business problems.
- Develop and deploy custom AI solutions using LLMs and agentic patterns to enhance data-driven processes.
- Ensure robust and scalable solutions through MLOps practices, including for pipelines using generative AI.
- Analyze large datasets (tabular, time series, and text) to extract actionable insights for data-driven decision-making, and develop advanced statistical models in collaboration with central functions such as Finance, HR, and Marketing.
- Stay up to date with advancements in generative AI, data science, and machine learning, and integrate new techniques and tools into workflows.
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Our expectations of you
Qualifications
- Possess strong knowledge of statistical modelling and data analysis techniques, ideally with a focus on time series, anomaly detection, or text processing.
Experience
- Proficient in Python, with extensive experience in data manipulation (Pandas, PySpark), analysis (SciPy, scikit-learn), and machine learning model development (scikit-learn, PyTorch, transformers).
- Strong experience in working with text data, LLMs, RAG, and agentic AI techniques, including endpoint deployment frameworks and libraries such as FastAPI, MCP, LangGraph, and LangChain.
- Erfahren in der Entwicklung von produktionsreifer Software und der Zusammenarbeit mit Plattform-Teams, unter Verwendung von DevOps-Tools wie GitHub und GitHub Actions für CI/CD sowie Azure-Plattformen und -Dienste für Machine Learning, Data Science und MLOps (Azure ML, MLflow, Azure Synapse).
- Experienced in visualization tools such as Matplotlib, Tableau, Superset, and Apache ECharts, as well as with SAP HANA, SAP SAC, and SAP Datasphere.
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What we offer
- Permanent employment contract in a stable, successful family-owned company with attractive compensation in line with the collective agreement or above tariff.
- 30 days of vacation, flexitime account and a modern hybrid working culture with weekly home office days.
- Continuous learning and individual development opportunities with a wide range of seminars, webinars and e-learning opportunities.
- Rabatte bei bekannten Marken und vergünstigte Mitarbeitereinkäufe.
- Using tax advantages while promoting your own health.
- Unterstützung bei internationalem Umzug.
- Offers of active health promotion, company doctor, occupational health and safety, etc.
- Kurze und bequeme Wege dank großzügiger Parkmöglichkeiten und einem Shuttle-Service zu unserem Büro in Kitzingen.
- Structured onboarding days as well as company and team events for a successful start and quick integration into the team.
- Canteen with subsidized meals.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Knauf Gips KG
The family company Knauf is the international market leader in the building materials industry. Thanks to more than 28,000 committed employees at over 200 locations worldwide, the company generates sales of around 7 billion euros. The basis for success are the values of humanity, partnership, commitment and entrepreneurial spirit.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Construction, Real Estate, Building Services
Senior Data Scientist
- Location
- Kitzingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
