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cbs Corporate Business Solutions GmbH

Data Scientist

Salary not disclosedHybrid

  • Engineering
  • Heidelberg
  • Full time
  • Today
Newly posted

About the role

As a Data Scientist in the AI Engineering & Governance team, you will analyze structured and unstructured data to evaluate the quality and usage of AI solutions. You will develop quantitative and qualitative criteria to measure AI performance and collaborate with AI engineers to drive continuous improvement of platforms and applications. The role involves defining KPIs and fostering AI adoption across the organization through data-driven insights.

Responsibilities

  • Analyze and evaluate the results of Large Language Models and other AI systems.
  • Develop quantitative and qualitative evaluation criteria, test procedures, and datasets to measure AI application quality.
  • Analyze user behavior and define KPIs regarding the usage, quality, and effectiveness of solutions.
  • Curate knowledge bases and ensure their quality, relevance, and currency.
  • Analyze structured and unstructured data to identify patterns and derive actionable recommendations.
  • Collaborate with AI engineers and platform experts to integrate findings into application and data landscape development.

Required skills

  • Data Science
  • Data Analysis
  • Statistics
  • Python
  • pandas
  • polars
  • Data Visualization
  • KPI definition
  • Large Language Models
  • AI evaluation
  • German

Nice to have

  • KPI framework development
  • Stakeholder management
  • Coaching
  • AI-assisted software development

Qualifications

  • Experience in Data Science, data analysis, statistics or a comparable field

Benefits

  • Flexible working hours
  • 30 days vacation
  • Workation
  • Company pension scheme
  • Health promotion
  • Professional development
  • Company mobile phone
  • Ergonomic workstations
  • Childcare subsidies

About the Company

cbs Corporate Business Solutions GmbH provides digital end-to-end business process solutions for global market leaders in sectors including mechanical engineering, automotive, life sciences, pharma, and chemicals.