Job
- Level
- Experienced
- Job Field
- Data, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 70.000 to 77.000€ Gross/Year
- Location
- Hörsching
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop anomaly detection algorithms for edge devices and the cloud, analyze extensive data sets, and build robust predictive maintenance models.
Job Technologies
Your role in the team
- Development and optimization of algorithms for anomaly detection on edge devices and in cloud environments.
- Analysis of large volumes of machine, sensor, and service data to identify patterns, anomalies, and correlations.
- Development and validation of machine learning models for predicting technical anomalies and failures.
- Preparation, integration, and analysis of various data sources (telematics, sensors, SAP service and diagnostic data).
- Development of robust data models and feature engineering for predictive maintenance applications.
- Close collaboration with Product Management, Service, Engineering, and Software Development to define new data-driven use cases.
- Development of dashboards and visualizations for the analysis and assessment of machine conditions.
- Evaluation of new technologies and AI methods as well as continuous development of existing models.
- Support in building a scalable Predictive Maintenance platform within the Wacker Neuson Group.
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Our expectations of you
Education
- Completed degree in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, or a comparable field of study.
Qualifications
- Very good knowledge of Python, SQL, Java, and cloud technologies (e.g., Microsoft Azure).
- Knowledge in time series analysis, anomaly detection, and predictive analytics.
- Knowledge in IoT, Edge Computing, or Connected Machines is advantageous.
- Analytical thinking skills as well as a structured and self-reliant way of working.
- Enjoyment in making complex technical contexts understandable and developing solutions together with specialist departments.
- Excellent spoken and written proficiency in German and English.
Experience
- Experience in Data Science, Machine Learning, or Predictive Analytics.
- Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
- Experience with data visualization is desirable.
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What we offer
- If the above criteria are met, we offer you a competitive annual gross salary according to the collective agreement for the metalworking industry of approximately EUR 70,000 (plus a variable component of up to 10%).
- Willingness to overpay depends on your qualifications and professional experience.
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Benefits
Health, Fitness & Fun
Food & Drink
More net
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Wacker Neuson
Hörsching
The Wacker Neuson Group is one of the leading manufacturers of construction equipment and compact machines – with over 50 subsidiaries, 140 sales and service stations, and over 12,000 sales and service partners worldwide.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Engineering Industry
Data Scientist - Predictive & Edge Analytics
- Salary
- 70.000 to 77.000€ Gross/YearNet salary converted from the gross salary in the job ad.46.429 to 50.158 € net/Year
- Location
- Hörsching
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
