Working Student

vor 3 Wochen


Heidelberg, Deutschland Heidelberg Materials AG Vollzeit

**Job description**:
**Working Student**

Entry level

**Heidelberg, Germany**

Location

**Part time**

Contract

**IT/Digital Transformation**

Category

**Any Questions?**:
Kristina John
- Manager Advanced Analytics & MLOps-
**Working student (f/m/d) Data Science**:

- In our mission to become the first industrial tech company in the sector, we decided to bundle Data Analytics, Data Science, AI and Hyperautomation (RPA) within our new team “Data & Insights”. We build a rock-solid foundation by putting in place the processes, organizational structures, technical infrastructure, training, and enablement to support broad adoption of our solutions. We will pave new ground to transform Heidelberg Materials to a modern data driven company.
- As a Working Student Data Science, you will report to the Senior Manager AI and MLOps. You will be part of the product team “HProduce Predict” and work collaboratively with other Data Scientists and Software Engineers on cement quality prediction use cases. In this role, you will have the chance to stay up-to-date with the latest machine learning technologies and create impactful solutions that help us steer our cement production. Your role will involve working with quality lab data and machine learning to assist building a powerful digital cement quality tool. Hence, with your data science models, you will contribute to reduce costs and help us meet our sustainability targets.
- The position is part-time and offers flexibility to accommodate your studies. You will be part of a diverse and international team that values gender equity and welcomes individuals from all backgrounds and identities.**Your next challenge**:

- Visualize real-world production data and model predictions in an interactive web app.
- Adapt the product code base for feature improvements or new integrations.
- Check and analyze source data and model prediction results.
- Conduct small projects, e.g., integrating a Neural Network-based tool into the web app.
- Support in refactoring the code base.

**Your profile**:

- Advanced studies in a STEM field (Science, Technology, Engineering, Mathematics) or a related area, but at least 1 more year enrollment in study program in Germany
- Proven experience in programming with Python and practical experience with Data Analysis and Machine Learning libraries (e.g., numpy, pandas, scikit-learn, TensorFlow, PyTorch)
- Experience in data visualization, preferably with Bokeh, or alternatively with libraries like Plotly, Matplotlib, or Seaborn
- Desirable: Experience with Holoviz Param and/or Panel.
- Desirable: Familiarity with version control systems (e.g., Git)
- A fundamental understanding of data structures, algorithms, and software development principles
- Knowledge of databases and SQL
- Strong analytical and problem-solving skills
- Proactive team player with a strong sense of responsibility within the product team.
- A willingness and enthusiasm for learning new things
- Ability to commute to the Heidelberg office at least 1-2 times per month
- Fluent in English, both written and spoken

**Our offer**:

- Attractive compensation
- Flexible working time models and remote work
- Canteen with discounted and healthy meals
- Ergonomic workstations with height-adjustable desks


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