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Senior Data Scientist (m/w/d) - Chemical Engineering & Verfahrenstechnik

Hybrid (München) / München / Frankfurt / Berlin / Leipzig / Essen / NürnbergFull-time2026-08-04 → 2026-10-16
Hybrid

Core

Conception, development, and implementation of modern Data Science, Machine Learning, and Generative AI solutions for clients in the chemical, process, and manufacturing industries.

Role type

Senior IC machine-learning engineer (chemical engineering domain)

Builds

Scalable ML and AI applications (time series, anomaly detection, optimization, LLM, RAG, Agentic AI) deployed on cloud platforms

Domain

Chemical engineering & process industry

Deliverable

production ML models

Required skills

Python, Machine Learning, Time series analysis, Anomaly detection, Statistical modeling, Mathematical optimization, Generative AI, LLMs, RAG, Agentic AI frameworks, Prompt Engineering, MLOps, LLMOps, Cloud platforms (Azure, AWS), Databricks, Docker, Kubernetes

Preferred skills

Experience in consulting or project environments, strong understanding of chemical/pharma/process processes

Technologies

Azure, AWS, Databricks, LangChain, LangGraph, AutoGen

Responsibilities

Translate technical questions into robust production-ready AI solutions, deploy and operate solutions on modern cloud platforms, collaborate with domain experts and technical teams, present results to clients, develop reusable frameworks and best practices

Seniority

Senior, hands-on IC