Data Scientist

Job Description - Data Scientist (MER0003L3Q)

Description

Task Description:

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

Responsibility and Scope for Decision-Making:

1. Independent consulting of the customer to identify new areas of application of AI.
2. Independent consulting of the customer on the use of AI, capturing the requirement, and translating the requirement into suitable mathematical models.
3. Independent data preparation, exploratory data analysis, and statistical analysis, conception of labeling processes.
4. Independent selection, implementation, and configuration of suitable (machine learning / semantic) models and procedures, also based on scientific literature.
5. Conception and implementation of automated pipelines for model creation and quality assurance.
6. Integration of the design and implementation of infrastructure and software and AI into software products in a scalable manner.
7. Independent assurance of compliance with relevant rules from the areas of data, AI, and IT security.
8. Networking and sharing of knowledge and experience within the company, within the Group, and beyond.

Qualifications

Qualifications / Experience:

1. Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology-related field.
2. Experience with Agile methodologies.
3. Experience with Enterprise technologies.
4. Experience with Product Oriented Teams.
5. Programming or Data Architecture related certification.

Specific Knowledge/Skill:

1. Excellent communication skills.
2. Good customer service orientation.
3. Analytical, passionate, and drives technology and product quality.
4. Result-oriented thinking and action.
5. Broad and deep understanding of AI methods and their applicability in day-to-day operations.
6. Broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
7. Broad and constantly expanded knowledge of methods of data preparation, exploratory data analysis, data visualizations, and statistical analysis.
8. Ability to implement and configure machine learning / semantic models close to the state of research.
9. Ability to design and implement automated pipelines for model creation and quality assurance.
10. Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
11. Knowledge of applicable rules from the areas of data, AI, and IT security compliance.
12. Ability to document and communicate the procedures and results in a target group-adequate form.

Technical:

1. SQL/noSQL, Python or R, Spark, Apache libraries, Machine Learning algorithms, Cloud Computing, and Data Architectures.