Senior Data Scientist

Oakwell Hampton Group; Köln; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A dynamic data-focused consultancy in Köln is searching for a Senior Data Scientist to enhance operational efficiency through advanced ML systems and forecasting models. Responsibilities include designing robust ML pipelines and guiding clients in leveraging Generative AI for high ROI outcomes. The ideal candidate will have over 5 years of hands-on experience with the PyData stack, proficient in both German and English, and a passion for innovative data solutions. Work in a collaborative environment with state-of-the-art technology and the flexibility to choose the right tools for projects.

Leistungen

State-of-the-Art Technology

Collaborative Engineering Culture

Autonomy in Tool Selection

Qualifikationen

• 5+ years of experience with Python and the PyData stack.
• Proven experience in time-series analysis with various tools.
• Hands-on with NLP and GenAI technologies.

Aufgaben

• Develop production-ready machine learning systems.
• Create complex forecasting models for optimized business operations.
• Lead clients through GenAI implementation for meaningful impact.

Kenntnisse

Machine learning pipelines

Time-series analysis

Generative AI Implementation

MLOps practices

Fluent in German and English

Tools

Python

Docker

FastAPI

MLflow

LangChain/LlamaIndex

Jobbeschreibung

The Role

While many companies are stuck in the "PoC graveyard," we focus on the last mile. As a Senior Data Scientist, you will bridge the gap between advanced research and industrial-grade software. You will design systems that don't just predict the future but power the daily operations of our clients through sophisticated forecasting and LLM-integrated applications.

Your Core Mission

• Production-Ready ML: Build and deploy scalable machine learning pipelines where "clean code" and "monitorability" are as important as "accuracy."
• Advanced Forecasting: Develop complex time-series models to optimize supply chains, demand planning, and financial trajectories for high-stakes business environments.
• Generative AI Implementation: Move beyond simple prompting. You will architect RAG (Retrieval-Augmented Generation) systems, fine-tune LLMs, and integrate GenAI into functional enterprise workflows.
• MLOps Excellence: Champion the use of tools like MLflow, Kubeflow, or DVC to ensure that models remain robust and reproducible in production.
• Strategic Advisory: Guide clients through the hype of GenAI to find high-ROI use cases that actually solve structural business problems.

Your Technical Profile

• The Foundation: 5+ years of experience with Python and a deep mastery of the PyData stack.
• Forecasting Expertise: Proven track record with time-series analysis (e.g., Prophet, ARIMA, XGBoost/LightGBM for forecasting, or Deep Learning approaches like N-BEATS).
• GenAI & NLP: Hands-on experience with the LangChain/LlamaIndex ecosystem, Vector Databases (Pinecone, Milvus, or Weaviate), and OpenAI/HuggingFace APIs.
• Software Engineering: Strong proficiency in Docker, API development (FastAPI/Flask), and CI/CD pipelines. You believe that "it works on my machine" is never the end of the job.
• Languages: Professional fluency in German and English is required for this role.

What We Offer

• State-of-the-Art Tech: Work with the latest LLM frameworks and high-compute cloud environments.
• Engineering Culture: A peer group that values automated testing, version control for data, and architectural integrity.
• Cologne Pulse: A centrally located office with a highly collaborative, "non-corporate" atmosphere.
• Autonomy: The freedom to choose the right tool for the job—whether it’s a simple regression or a complex multi-agent AI system.