Senior Data Scientist (Remote)

Job type:Permanent
Town/City:Remote
Region:Bayern
Sector:Data & AI
Client Company Type:In-House
Job ref:7700
Post Date:January 20, 2026

About the Role

About the Role

A globally operating technology-driven organization is looking to strengthen its advanced analytics and AI capabilities by hiring a Senior Data Scientist.

In this role, you will work in an international, interdisciplinary environment, driving innovative data science initiatives that combine classical methods with modern AI technologies. You will play a key role in shaping how data-driven solutions are designed, evaluated, and brought into real-world use, with a strong focus on business impact.

This position offers long-term perspective, autonomy, and the opportunity to influence how advanced AI is applied at scale.


Your Responsibilities

  • Lead and drive innovative data science and AI projects from concept to evaluation, always aligned with business objectives

  • Design and develop complex algorithms and AI/ML models, with a strong focus on LLMs, NLP, and agent-based systems

  • Evaluate solutions not only from a technical perspective, but also in terms of business value and impact

  • Stay up to date with current research and technological developments and actively bring new ideas into the organization

  • Define and promote best practices to improve efficiency, scalability, and quality in data science projects

  • Act as a go-to person for internal stakeholders, sharing expertise and collaborating across teams

  • Represent the organization at relevant professional events, meetups, and conferences


Your Profile

  • Degree in Computer Science, Mathematics, Statistics, or a comparable field

  • 5+ years of professional experience in data science, with a strong focus on LLMs and modern AI systems

  • Deep expertise in NLP, LLMs, and agentic AI approaches

  • Excellent programming skills in Python and related libraries (e.g. Pandas, NumPy, SciPy) as well as SQL

  • Hands-on experience with frameworks such as Hugging Face, LangChain, scikit-learn

  • Solid understanding of MLOps and deployment concepts (Docker, Kubernetes, CI/CD)

  • Experience working with cloud platforms, ideally in an Azure-based environment

  • Strong software engineering mindset and structured way of working

  • Independent, customer-oriented, and flexible working style

  • Curiosity for new topics and technologies

  • Strong analytical thinking and ability to think beyond standard solutions

  • Pragmatic, hands-on mentality with a strong sense of ownership

  • Willingness to travel occasionally (less than 15%)

  • Languages: German (C1 or higher), English (C1 or higher)


What’s on Offer

  • Individual support for professional and personal development

  • Flexible working hours and mobile working options

  • Structured onboarding and mentoring programs

  • Comprehensive health and wellbeing initiatives

  • Regular team and company events

  • Meal allowance and additional benefits

  • Mobility options such as bike leasing

  • Company pension scheme

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