Data Scientist

develop; Leipzig; On-site; EUR 60,000 - 90,000; Full time

Job summary

develop, a technology-focused company in Leipzig, seeks a Data Scientist to build advanced ML models, agentic systems, and AI-enabled analytics.

You will transform complex datasets into actionable insights, collaborate with an interdisciplinary team, and drive production-ready metrics while exploring new AI methodologies.

Qualifications

• Degree in a quantitative field (Data Science, CS, Engineering or Mathematics).
• Strong background in statistics, ML, and model validation.
• Hands-on experience with LLM applications or agentic systems.
• Proficiency in Python; working knowledge of SQL, C++, and C# is a plus.
• Excellent English communication and collaborative mindset.

Responsibilities

• Develop, evaluate, and optimize supervised and unsupervised ML models.
• Build agentic systems and AI-powered self-service analytics tools.
• Translate complex data into clear metrics, visualizations, and insights.
• Partner with engineering teams to ensure data quality and deploy models into production.
• Drive innovation by researching emerging AI and ML methodologies.

Skills

Statistics

Machine Learning

Model Validation

Python

SQL

C++

C#

Education

Bachelor's degree in Data Science, Computer Science, Engineering, or Mathematics

Tools

SQL

C++

C#

Job description

My client is a technology-focused business, seeking a Data Scientist to build advanced machine learning models, agentic systems, and AI-powered analytics solutions. Working within an interdisciplinary team, you will transform complex datasets into actionable intelligence and production-grade performance metrics.

Key Responsibilities

• Develop, evaluate, and optimize supervised and unsupervised machine learning models.
• Build agentic systems and AI-powered self-service analytics tools.
• Translate complex data into clear metrics, visualizations, and insights.
• Partner with engineering teams to ensure data quality and deploy models into production.
• Drive innovation by researching emerging AI and ML methodologies.

Requirements & Profile

• Education: Degree in Data Science, Computer Science, Engineering, Mathematics, or a related quantitative field.
• Technical Skills: Strong background in statistics, machine learning, and model validation.
• Specialized Experience: Hands-on experience with LLM applications or agentic systems.
• Tech Stack: Proficiency in Python; working knowledge of SQL, C++, and C# is a plus.
• Soft Skills: Structured, independent problem-solver with strong English communication skills and a collaborative team mindset.