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Senior Data Scientist, Generative AI
anacision GmbH. Design and further develop AI solutions, particularly those based on generative AI, RAG, and agentic systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI solutions, particularly in generative AI, RAG, and agentic systems, while leading projects and ensuring data quality and model evaluation. Proficient in Python and experienced in mentoring teams and implementing production-grade systems.
Highest-signal resume keywords
AI Solution DesignProject LeadershipPython ProgrammingRAG ImplementationData Quality Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningStatisticsGenerative AIRAGAgentic SystemsModel EvaluationTesting ProceduresCost AnalysisOperationalization
Soft Skills
Team SpiritMotivationCommitmentCommunicationSolution-Oriented
Industry Keywords
Computer ScienceData ScienceMathematicsPhysicsEngineeringTechnical LeadershipClient EngagementProject ManagementOperational Point of ContactBilingual (German and English)
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design and further develop AI solutions, particularly those based on generative AI, RAG, and agentic systems
- Successfully lead and expand projects and client engagements in complex situations
- Critically assess results using sound methodologies, make pragmatic decisions, and communicate technical concepts clearly
- Share knowledge and take on team responsibility
- Engage in intensive project-related communication with clients regarding ideas, results, blockers, and dependencies
- Take functional responsibility for data quality, model selection, and evaluation
- Develop robust testing procedures to assess response quality and reliability
- Analyze costs and runtimes
- Lead or actively support the implementation and deployment of production-grade RAG and agentic systems, including monitoring and ongoing development
- Provide technical sparring and mentoring to Data Scientists and software developers on methodology selection, architecture, and code reviews
- Contribute to establishing AI-enabled ways of working within the team
- Transform project insights into reusable methods and solution components
- Serve as the operational point of contact within client projects
Requirements
What you’ll need- Completed degree in Computer Science, Data Science, Mathematics, Physics, Engineering, or a comparable technical field
- Several years of professional experience in Data Science / AI
- At least 2 years of experience leading projects from requirements gathering through operationalization
- Extensive experience with LLMs, RAG, agentic systems, and their evaluation
- Strong knowledge of statistics and machine learning is preferred
- Excellent Python skills
- Practical experience implementing or technically leading production-grade RAG and agentic systems
- Highly independent and solution-oriented working style
- Strong team spirit, motivation, and commitment
- Excellent German and English skills (C1 or higher)
Benefits
Comp & perks- Flexible working hours, part-time models, and flexible workplaces within Germany
- Support for balancing family and career
- Dedicated time for individual professional development, including up to 4 hours per week for internal or external training
- Private use of a laptop and mobile phone
- Financial support for setting up a home office
- 30 days of vacation per year
- Bicycle leasing
- Fitness pass for use throughout Germany
- Regular team events
- Remote-first policy
- Opportunity to work from the office in Karlsruhe
- Regular off-sites and monthly opportunities for in-person exchange and social activities