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Data Scientist

Salary undisclosed

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Task Description:

  • Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models
  • Data preparation, exploratory data analysis and statistical analysis. Conception of labelling processes
  • Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures
  • Conception and implementation of automated pipelines for model creation and quality assurance
  • Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
  • Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance
  • Documentation and communication of the procedures and results in a target group-adequate form.

Responsibility and Scope for decision-making:

  • Independent consulting of the customer to identify new areas of application of AI.
  • Independent consulting of the customer on the use of AI, on capturing the requirement and translating the requirement into suitable mathematical models.
  • Independent data preparation, exploratory data analysis and statistical analysis, conception of labeling processes.
  • Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also on the basis of scientific literature.
  • Conception and implementation of automated pipelines for model creation and quality assurance.
  • To integrate the design and implementation of infrastructure and software and AI into software products in a scalable manner.
  • Independent assurance of compliance with the relevant rules from the areas of data, AI and IT security.
  • Networking and sharing of knowledge and experience within the company, within the Group and beyond.
Qualifikationen
Qualifications / Experience:
  • Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
  • Experience with Agile methodologies
  • Experience with Enterprise technologies
  • Experience with Product Oriented Teams
  • Programming or Data Architecture related certification
Specific knowledge/ Skill:
  • Excellent communication skills
  • Good customer service orientation
  • Analytical, passionate and drives technology and product quality
  • Result-oriented thinking and action
  • Has a broad and deep understanding of AI methods and their applicability in day-to-day operations.
  • Possesses broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
  • Possesses broad and constantly expanded knowledge methods of data preparation, exploratory data analysis, data visualizations and statistical analysis.
  • Ability to implement and configure machine learning / semantic models close to the state of research.
  • Ability to design and implement automated pipelines for model creation and quality assurance.
  • Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
  • Knowledge of applicable rules from the areas of data, AI and IT security compliance.
  • Ability to document and communicate the procedures and results in target group-adequate form.
Technical:
  • SQL/noSQL, Python or R, Spark, Apache libraries, Machine Learning algorithms, Cloud Computing and Data Architectures