Job
- Level
- Experienced
- Location
- Aachen
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you develop machine learning models for anomaly detection in time series and analyze complex machine data to support optimization potential and root cause analysis.
Job Technologies
Your role in the team
- You make machine data usable: With machine learning models, you identify unusual patterns and deviations in the time series of our recycling plants.
- This helps you to identify deviations early and support root cause analysis as well as process optimization.
- From data analysis through the development and validation of your models to their deployment in the product, you oversee the entire process – closely aligned with our practitioners.
- You develop, train, and validate machine learning models with a focus on anomaly detection in time series using maintainable Python code, including the use of coding assistants.
- You analyze and visualize complex time series data to uncover patterns, causes, and optimization potentials.
- You deploy models into production and set up the initial monitoring.
- You develop data models and write efficient SQL queries for relational databases.
- You work closely with our subject matter experts and translate operational challenges into data-driven solutions, including the use of coding assistants.
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Our expectations of you
Education
- You have completed a degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or a related field.
Qualifications
- You have very good Python skills, especially with object-oriented programming as well as scikit-learn, pandas, and NumPy.
- You are experienced in handling SQL and designing relational databases, for example with PostgreSQL.
- Good software development practices such as Git and code reviews are second nature to you.
- You think analytically and approach complex problems in a structured manner.
- You are ready to work regularly on-site in Aachen; on the remaining days, remote work is possible.
- You have good spoken and written English skills.
Experience
- You have at least two years of professional experience in Industrial Data Science or a comparable position.
- You possess solid knowledge in Machine Learning and Statistics, ideally with experience in time series analysis or anomaly detection.
- Practical experience with cloud providers such as AWS and data or machine learning applications in the cloud is a plus.
- Experience in handling industrial real-time machine data is a plus.
- First experience with AI-powered programming tools such as Claude or GitHub Copilot is a plus.
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What we offer
- Attractive compensation, permanent contract, and 30 days of vacation.
- Responsibility from day one with plenty of scope for design and impact.
- Modern offices in Aachen with direct access to the digitalHUB ecosystem – including access to workshops and networking events.
- Flexible working hours and location-independent work (e.g., in the home office).
- A lived startup culture under the umbrella of a successful, owner-managed corporate group.
- Sustainability awareness, team spirit, and a family-like culture are additional benefits.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Eggersmann Gmbh
Eggersmann GmbH distributes products from renowned brands such as BACKHUS, BRT HARTNER, FORUS, Terra Select and TEUTON and thus offers solutions for different processing stages within waste management, such as composting, dosing, bunkering, opening, grinding, sieving or sorting.
Description
- Founding Year
- 2012
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Data Scientist - Anomaly Detection
- Location
- Aachen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
