Data Scientist
Data Scientist
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Job Description
We are now looking for a Data Scientist / Data Engineer with an edge in graph technologiesto join our Applied AI team here at Stiftelsen Chalmers Industriteknik!
About the role
As a Data Scientist / Data Engineer you will work on a range of projects as part of our Applied AI team. As a Knowledge Graph Engineer you will help us build and maintain scalable intelligent data solutions in the health space. You will be involved in the handson development of both internal and external projects applying data science techniques and machine learning to help solve realworld challenges.
Key Responsibilities
- Design develop and maintain knowledge graphs ontologies and semantic models.
- Integrate structured and unstructured data sources to enhance interoperability and data linking.
- Implement graphbased machine learning and reasoning techniques.
- Work closely with data scientists software engineers and domain experts to build AIdriven solutions.
- Optimize query performance for largescale graph databases.
- Ensure data quality consistency and adherence to semantic web standards.
- Stay up to date with emerging trends in knowledge representation linked data and AI.
- Participate in other data science and applied AI projects both internal and external
- Develop and implement data models / machine learning techniques and datadriven solutions
About You
We are looking for someone with a solid background in data science and graph technologies. You are skilled in problemsolving serviceoriented and capable of working in a structured and independent manner. You also communicate effectively with both technical and nontechnical individuals. Flexibility and the ability to manage multiple tasks simultaneously will help you succeed in this role.
Qualifications
- Masters degree in data science or related field.
- Strong experience with RDF OWL SPARQL and other semantic web technologies.
- Handson expertise with graph databases such as Neo4j GraphDB or Amazon Neptune.
- Proficiency in Python Java or another programming language commonly used for data engineering.
- Knowledge of ontology engineering and data modeling.
- Experience integrating knowledge graphs with AI/ML pipelines.
- Strong problemsolving skills and ability to work in interdisciplinary teams.
- Prior work experience in the health care sector and practical knowledge about LLMs are highly advantageous.
- Good language skills in English both spoken and written.
Employment Details and Application Process
This is a permanent fulltime position (standard office hours) based at our office in central Gothenburg near the Chalmers campus. A sixmonth probation period applies.
Application deadline: March 28th.
We will review applications and conduct interviews on an ongoing basis. Emphasis will be placed on personal suitability during the selection process.
What We Offer
At Stiftelsen Chalmers Industriteknik we offer a dynamic and innovative environment within an expanding organization focused on problemsolving and creating a sustainable future. Here youll have the chance to leverage your skills while also finding opportunities for personal and professional growth.Join our growing organisation and youll enjoy benefits such as flexible working hours a generous holiday allowance 30 days) a company pension scheme a great wellbeing passport lunch time training monthly massage at the office the list goes on!
Contact
If you have any questions about the position or Stiftelsen Chalmers Industriteknik please feel free to reach out to:
Bernd Ketzler group manager Applied AI
Susanna Turja HR partner
We look forward to your application!
About us
Stiftelsen Chalmers Industriteknik is a research and development organization dedicated to driving innovation for a sustainable society. We are a passionate team of innovators researchers and project managers driven by the desire to make a difference for the future. By enhancing Swedens capacity for innovation and making research accessible we work to shape a better and more sustainable world. We are preparing tomorrow for the future.
Employment Type
Full Time
