MG
Data Scientist
M-Tech GmbH
On-site From €5k/mo 2w ago
About the role
Your role in the team
- Development of predictive modeling and personalization solutions based on large, regulated datasets.
- Application of modern statistical methods and machine learning techniques for product and system optimization.
- Analysis and modeling of ultrasound system data to enhance system performance and user personalization.
- Interdisciplinary collaboration with product and engineering teams.
What we offer
- An interesting and varied workplace.
- Exciting and diverse opportunities for professional and personal development.
- Flexible working time models.
- Financial support for further training measures.
- An adequate salary depends on the respective industry as well as the education, qualifications, and professional experience of the applicants. Therefore, an overpayment of the minimum gross monthly salary of EUR 4,500 for this full-time position is provided.
Technologies and skills
- Python
Our expectations
Qualifications
- In-depth expertise in statistical modeling, machine learning, and predictive analytics.
- Advanced knowledge of Python for data analysis, modeling, and experimental data processing.
- Ability to communicate complex analytical concepts clearly to both technical and non‑technical stakeholders.
Experience
- Experience in developing predictive models with large, complex, and regulated datasets generated by systems.
Education
- University degree in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitatively oriented field.
Benefits
- Flexible Working Hours
Requirements
- In-depth expertise in statistical modeling, machine learning, and predictive analytics.
- Advanced knowledge of Python for data analysis, modeling, and experimental data processing.
- Ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders.
- Experience in developing predictive models with large, complex, and regulated datasets generated by systems.
Responsibilities
- Development of predictive modeling and personalization solutions based on large, regulated datasets.
- Application of modern statistical methods and machine learning techniques for product and system optimization.
- Analysis and modeling of ultrasound system data to enhance system performance and user personalization.
- Interdisciplinary collaboration with product and engineering teams.
Benefits
Flexible Working HoursFinancial support for further training measures
Skills
Python
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