Founding Data Scientist
Workplace: Göteborg, Sverige
Expires: August 14, 2025
Join Cerve Holding AB as a Founding Data Scientist to build and lead the data science function. Use advanced AI and LLM techniques to solve business problems and develop scalable data pipelines, collaborating across teams in a fast-paced environment.
Main requirements:
- Minimum 2 years of experience in data science, applied machine learning or analytics roles
- 2+ years experience with Large Language Models (LLMs) and modern AI techniques
- Strong proficiency in Python and SQL for data analysis and pipeline development
- Familiarity with cloud platforms such as GCP, AWS, or Azure
- Experience working with APIs or integrating external data sources
Responsibilities:
- Design, build and maintain scalable data pipelines (ETL) for data ingestion, cleaning, and storage
- Develop systems to collect and integrate structured and unstructured data from internal and external sources
- Apply machine learning, statistical modeling and AI techniques to real-world challenges
- Develop tools to automate data processing, decision support and forecasting
- Architect the end-to-end data ecosystem from ingestion to reporting
- Identify automation opportunities and assist in deploying production-ready solutions
Required hard skills:
- Python
- SQL
- Machine Learning
- Data Pipeline Development
- Cloud Platforms (GCP, AWS, Azure)
- API Integration
- Statistical Modeling
- AI Techniques including LLMs
Recommended hard skills:
- Background or strong interest in supply chains, food systems, or sustainability
Soft skills:
- Autonomous and able to take full ownership of projects
- Detail-oriented with focus on accuracy and timely delivery
- Resilient with a problem-solving mindset
- Collaborative team player
- Comfortable thriving in ambiguity and complex challenges
Coding languages:
- Python
- SQL
Frameworks:
- Machine Learning and AI frameworks (implied)
Operating systems:
- Not specified
Natural languages:
- English (Proficient)
Cultural skills:
- Diversity and inclusion
- Sustainability focus
- Collaborative and growth mindset
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