Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dusseldorf
- Working Model
- Onsite
Job Summary
In this role, you analyze large datasets, develop predictive models, and maintain databases and pipelines. You collaborate with interdisciplinary teams on complex data problems and visualize analysis results.
Job Technologies
Your role in the team
- Analysis and evaluation of large data sets to derive business-relevant insights.
- Development and implementation of models for data analysis and prediction.
- Creation and maintenance of databases and data pipelines.
- Collaboration with interdisciplinary teams to solve complex data problems.
- Visualization of analysis results and report creation.
- Ensuring data quality and security.
- Application of machine learning techniques to optimize business processes.
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Our expectations of you
Education
- Completed degree in Data Science, Computer Science, Mathematics, or a comparable qualification.
Qualifications
- Profound knowledge in data analysis, statistics, and machine learning.
- Excellent knowledge of programming languages such as Python or R.
- Fluent in German and English, both spoken and written.
- Proficient in MS Office and data visualization tools.
- Analytical skills and problem-solving competence.
- Teamwork skills and strong communication.
Experience
- Professional experience as a Data Scientist or in a similar role.
- Experience with database management systems and Big Data technologies.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Aschert & Bohrmann GmbH
Aschert & Bohrmann GmbH is an experienced recruiting agency specializing in personnel selection and placement. Its strong team ensures competent advice and quick filling of positions.
Description
- Company Type
- Recruiting Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Recruitment Agency
Data Scientist Datenmanagement
- Location
- Dusseldorf
- Working Model
- Onsite
- Diversity
- Open for all genders
