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Do you share our passion for innovation and technology and want to take on the challenges of the future? Then join FERCHAU: as an ambitious colleague who, like us, wants to take technology to the next level. We deliver exciting projects for leading providers and developers of IT solutions and take responsibility for complex development projects. Do you know exactly what you bring to the table technically? Are you looking for an employer who recognizes that, values your commitment, and regularly offers you opportunities for further development? Then apply with us!
## Data Scientist Machine Learning (m/f/d)
**Your responsibilities on our team**
* Analysis and preparation of collected sensor and measurement data from machines
* Ensuring data quality
* Creation of statistics, dashboards, and reports
* Design of real-time and predictive models using machine learning
* Building and maintaining machine learning pipelines
* Algorithm development and support with implementation
* Further development of existing methods and procedures in the areas of machine learning and data analysis
**What you can expect from us**
* Permanent employment contract
* Flexibility through the option to work remotely
* Opportunities for professional and personal development
* You can contribute your own ideas and actively help shape things
* True team spirit and passion for what we do
* Networking and simply having fun at team events, Christmas parties, or summer festivals
**Your profile**
* Completed degree in Computer Science, Machine Learning, Statistics, Mathematics, or a comparable qualification
* At least 3 years of professional experience in machine learning and data science
* Solid knowledge of Python; additional programming experience is a plus
* Experience applying statistical methods and developing algorithms
* Very good German and English language skills
Note:
Please be aware that German is the working language in our project and good German language skills (level B2+) are required for this position.
Ready for your next challenge? Then we should definitely get to know each other! The fastest way is to apply directly — preferably online using reference number VA79-66056-UL, addressed to Ms. Elisabeth Hueske. Let's take things to the next level together and push technology forward!
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Source: Bundesagentur für Arbeit — BA Jobbörse (ref: 12265-260048_JB5121726-S). GermanyTalent is not affiliated with the Bundesagentur für Arbeit or the employer. Always verify current job details directly with the employer.