Data Scientist

Inpixon GmbH; Eschborn; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

A technology company based in Frankfurt is seeking a Data Scientist specializing in AI, LLM, and Data Analytics. This full-time role involves developing and deploying Large Language Models, analyzing complex datasets, and implementing AI features into applications. The ideal candidate will have strong experience with LLMs, data analytics, and a background in computer science. A hybrid working model is offered, along with a collaborative company culture.

Leistungen

Hybrid working model

Modern workplace environment

Collaborative company culture

Qualifikationen

• Strong experience with LLMs, training, and fine-tuning.
• Solid expertise in data analytics and visualization.
• Proficiency in SQL and working with large-scale databases.

Aufgaben

• Train, optimize, and evaluate Large Language Models.
• Analyze large datasets for data-driven decisions.
• Implement LLM-powered features in applications.

Kenntnisse

LLM Development & Fine-Tuning

Data Analysis

Machine Learning

SQL

Python

Cloud Platforms

Data Visualization

Ausbildung

Degree in Computer Science or related field

Tools

Hugging Face Transformers

Tableau

Power BI

Jobbeschreibung

Job Summary

The Data Scientist – AI, LLM & Data Analytics will join the Inpixon team in Frankfurt, working in a hybrid model with regular in-office days each week.
This full-time role focuses on the development and deployment of Large Language Models (LLMs), the application of advanced AI technologies, and in-depth data analytics. The goal is to leverage complex datasets, extract actionable insights, and transform them into innovative, AI-driven product solutions.

Aufgaben

Duties/Responsibilities

LLM Development & Fine-Tuning: Train, optimize, and evaluate Large Language Models (e.g., GPT, LLaMA, Mistral, Claude).

AI Product Integration: Implement LLM-powered features and AI workflows into existing and new applications.

Data Analysis & Insight Generation: Analyze large and complex datasets (structured & unstructured) to support data-driven decision-making.

Data Engineering & Feature Engineering: Prepare, transform, and enrich datasets for analytics and model training.

Visualization & Storytelling: Build dashboards and reports to present analysis and AI results clearly to both technical and non-technical stakeholders.

AI Research & Innovation: Identify new use cases and opportunities for LLMs and data science methodologies.

Evaluation of AI & Analytics Tools: Select and benchmark tools and frameworks for performance, efficiency, and scalability.

Collaboration: Work closely with product management, engineering, data engineering, and other departments to define and implement AI strategies.

Qualifikation

Preferred Skills/Abilities

Degree in Computer Science, Data Science, Statistics, Mathematics, Computational Linguistics, or a related field.

Strong experience with LLMs (training, fine-tuning, prompt engineering, RAG) and frameworks like Hugging Face Transformers, LangChain, or LlamaIndex.

Solid expertise in data analytics, statistics, and visualization (Python: Pandas, NumPy, matplotlib, Plotly; BI tools like Tableau or Power BI).

Experience with machine learning and natural language processing.

Proficiency in SQL and working with large-scale databases.

Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.

Strong analytical and conceptual skills with the ability to clearly communicate complex concepts.

Excellent written and spoken English; German language skills are a plus.

Benefits

Hybrid working model with flexible home office days

Modern workplace environment with the latest tools and technology

Open and collaborative company culture with flat hierarchies

Join us on our journey – apply now and let’s shape the future together.