Data Scientist

Nexperia Germany GmbH

Hamburg, Germany

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English, German

Job source

www.arbeitsagentur.de

Tech stack

Information Systems Data Integration Extract Transform Load (ETL) Data Retrieval Data Structures Relational Databases Python (Programming Language) DataOps SPARQL SQL Databases Data Processing Pandas

Job description

You will work on structuring and connecting complex manufacturing data to support product-level sustainability analysis. For this you will work with real industrial data and collaborate with domain experts.

The focus is on:

Designing a logical data structure
Understanding how different data points relate to each other
Enabling data retrieval and analysis through queries

In this thesis, you will develop a structured data approach to organize and manage product-level data to support accurate Product Carbon Footprint (PCF) assessments in semiconductor manufacturing, which requires working with complex and fragmented data.

What you will do

Analyze existing manufacturing and product-level data to identify structures and relationships.
Design a structured data model to organize product-relevant data.
Explore and link data to support product-level carbon footprint analysis.
Develop queries and small-scale prototypes to test the data model.
Apply the model to a practical case study to demonstrate functionality and data integration (proof-of-concept).
Document the design, methodology, and findings in a clear and structured thesis report.
Present results and insights to stakeholders in a concise and professional manner.
Navigate uncertainty with analytical thinking and open-mindedness.

Requirements

Enrolled Master’s student in Data Science, Engineering, Information Systems, or similar

General understanding and passion for data
Proven experience with data-oriented programming languages (e.g. Python, or similar) and basic knowledge of querying (e.g., SQL, SPARQL, or similar)
Experience with relational databases and data processing (e.g. SQL, pandas-based ETL, or similar)
Strong analytical, structured thinking, and problem-solving skills; able to explore solutions independently and show natural curiosity
Good communication skills in English (German language skills beneficial) and ability to work independently
Basic knowledge of graph-based data models (e.g. RDF/SPARQL, or similar) is a plus
Basic knowledge of semiconductor products is a plus
Interest in sustainability, life cycle assessments, product carbon footprints, or semiconductor manufacturing