Job
- Level
- Senior
- Job Field
- IT, Data, Security
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Cologne
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze data, develop and evaluate machine learning models to solve security-critical tasks, and closely collaborate with customers to successfully implement data-driven projects.
Job Technologies
Your role in the team
- As a Senior Data Scientist at infodas, you bring your experience and expertise to forward-looking projects and contribute to the realization of exciting, security-critical tasks in the military and governmental environment.
- You advise and support our clients in the planning and implementation of data-driven projects.
- In doing so, you analyze data, develop suitable models based on that, and always pursue a solution-oriented approach.
- Through continuous evaluation, development, and the productive deployment of machine learning methods, you take responsibility across the entire project lifecycle.
- You independently plan and develop advanced Machine Learning models and algorithms in accordance with the respective project and client requirements.
- You analyze and visualize large heterogeneous data sources carefully, derive relevant insights, and prepare complex contexts using common methods (e.g., storytelling) in a target audience-appropriate manner.
- You are responsible for the validation and quality assurance of models, developing best practices, and ensuring stable and robust performance throughout the entire lifecycle.
- You translate business requirements into data-driven questions and decide on the targeted use of suitable learning methods (e.g., supervised, unsupervised, or transfer learning) or combine them depending on the problem.
- You organize and moderate workshops with internal and external stakeholders, communicate project progress and results appropriately for the target audience, and occasionally give presentations to a professional audience.
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Our expectations of you
Education
- You have successfully completed a degree in Computer Science, Mathematics, Data Science, Data Engineering, or a comparable qualification.
Qualifications
- What is particularly important to us is your practical expertise, which you can demonstrate with client or research projects.
- You have solid programming skills in Python and hands-on expertise with popular frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- You are proficient in handling structured and unstructured data and possess good SQL skills for processing, analyzing, and merging data sources.
- You have a strong affinity for cybersecurity, stay up-to-date with current developments, and naturally incorporate security, governance, and regulatory requirements (e.g., GDPR and AI regulation) into your work with data.
- You work in a self-organized manner and place value on clear and thorough documentation.
- In doing so, you confidently utilize tools such as Microsoft 365, Confluence, Jira, or Git for efficient organization and transparent presentation of your work.
- Very good German and good English skills are a matter of course for you.
- You are willing to undertake occasional business trips.
Experience
- You have at least 3 years of relevant professional experience in Data Science or Data Engineering.
- You have already gained initial experience in supporting sales activities, from idea generation to the development of proposals, ideally in the context of public tenders or in collaboration on research grant applications.
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What we offer
- Part of a strong network: We are a growing subsidiary of Airbus - with entrepreneurial freedom and the stability of a global corporation behind us.
- Flexible working hours: With our flexitime account, you manage your working hours independently.
- Flexible working: Up to 3 days per week working from home - for focus, work-life balance, and productivity.
- Recovery with a plan: 30 days of vacation (for a 5-day workweek) - and additionally, an increase in your vacation entitlement after 5 and 10 years of service.
- More time for yourself: Additional days off on bridge days as well as between Christmas and New Year.
- Christmas bonus: Because commitment deserves appreciation.
- Company participation: Success is a team effort - that's why you benefit from an attractive bonus.
- infodas on bike: Your JobRad with a monthly employer subsidy - sustainable, healthy, and flexible on the go.
- And much more: individual development opportunities, short decision-making processes, and an environment that explicitly encourages thinking along and shaping.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Topics that you deal with on the job
Job Locations
This is your employer
INFODAS GmbH
INFODAS GmbH is divided into three business divisions. The Business Division Solutions, which consists of the departments Projects, Research and Development, and Products, is responsible for the development, planning and operation of solutions around INFODAS GmbH's high-security products.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Scientist
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
