Senior Data Scientist – Graph Machine Learning
Tasks
- Build solutions using python graph databases and machine learning frameworks
- Collaborate with data engineers software engineers product managers
- Communicate model outcomes to technical and business audiences
- Design deploy graph neural networks and graph machine learning solutions
- Drive graph ai adoption and use case identification
- Ensure data preparation feature engineering model evaluation documentation code quality
- Implement data quality model monitoring version control reproducible analytics
- Lead and supervise data scientists
- Transform datasets into graph representations
- Use graph algorithms for analytics insights
Perks/Benefits
- Continuous personal development
- Corporate pension fund
- Intellectually stimulating work environment
- International training opportunities
- Private health insurance
Skills/Tech-stack
Amazon Neptune | Cloud Computing | Cypher | Data Visualization | Feature Engineering | Graph Algorithms | Graph Databases | Graph Neural Networks | Gremlin | Machine Learning | Matplotlib | Model Evaluation | Model Monitoring | Neo4j | Neural Networks | NumPy | Pandas | Plotly | Python | Reproducible analytics | Seaborn | Statistical Analysis | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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