Responsibilities
- Collect, clean, and analyze structured and unstructured datasets to extract actionable insights.
- Design, train, and evaluate machine learning models for anomaly detection, classification, regression, and clustering.
- Collaborate with engineering teams to integrate analytical models and features into the core graph analytics platform.
- Develop scalable data processing pipelines and support continuous improvement of analytics capabilities.
- Communicate results and recommendations clearly to technical and non-technical stakeholders.
Basic qualifications
- Strong proficiency in Python and core data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib).
- Deep understanding of machine learning workflows and applied statistical techniques.
- Excellent problem-solving, analytical, and teamwork skills.
- Strong written and verbal communication abilities.
Preferred qualifications
- Experience with Go (Golang) for backend development or high-performance data processing.
- Familiarity with graph analytics or network science tools (e.g., NetworkX, graph databases).
- Background in distributed data systems or large-scale analytics environments.
- Attractive salary
- Large freedom and real influence
- No unhealthy competition, team approach to meeting challenges
- Remote-first, flexible working culture
- Company apartments in cool cities across Europe: work and enjoy a memorable getaway
About the company
- Data Scientist: 5 years (Required)
- Python: 5 years (Required)
Tags & focus areas
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