Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Temporary employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop data architectures to represent project and incubation data, leverage AI for analysis, and support the integration of data analysis into impact strategies.
Job Technologies
Your role in the team
- Development, maintenance, and enhancement of data architectures to represent all relevant project and incubation data, as well as to optimize the setup of an alumni management system.
- Use of AI methods for evaluation and decision support, including the further development of the Match'em platform.
- Close collaboration with Impact & DEI(B) Manager*in as well as consultants to integrate data analyses into impact strategies and incubation logic, and with Launchpad Managers for data-driven network utilization.
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Our expectations of you
Education
- Successfully completed academic university studies (diploma, master's degree, or equivalent) in Data Science, Computer Science, or a related field.
Qualifications
- Knowledge of Python or R as well as common data analysis tools.
- Very good English skills.
- Fluent German skills.
- Expertise in (AI-powered) databases.
Experience
- Experience at the intersection of founding and data management.
- Experience in Machine Learning, databases, and statistics.
- Experience in the field of entrepreneurship / startup support.
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What we offer
- Please submit your application, including the reference number and the usual documents, exclusively via email in a PDF document to lydia.tetzner@tu-berlin.de.
- By submitting an online application, you as the applicant give your consent for your data to be processed and stored electronically.
- Please note that no guarantee can be given for the security of personal data transmitted electronically when submitting your application unprotected.
- Data protection notices regarding the processing of your data in accordance with GDPR can be found on the Human Resources department's website: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung.
- To promote equal opportunities between women and men, applications from women with the respective qualifications are explicitly encouraged.
- Persons with severe disabilities will be given preferential consideration if equally qualified.
- TU Berlin values the diversity of its members and pursues the goals of equal opportunities.
- Applications from people of all nationalities and with a migration background are warmly welcomed.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Technische Universität Berlin
The TU Berlin is a large and renowned technical university in Germany, which is characterized by excellent research and teaching facilities, qualified graduates and a modern administration. The university is located in the heart of Europe - in Germany's capital Berlin.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Sports, Leisure
AI Driven Data Manager
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
