Data Scientist

Proven experience (10+ years) working in data science, with a strong focus on deep learning and graph-based data science.
Hands-on experience with graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune) and knowledge of graph algorithms (PageRank, shortest path, centrality, etc.).
Proficiency in building and tuning deep learning models using TensorFlow, PyTorch, or similar frameworks.
Strong programming skills in Python (with libraries such as scikit-learn, pandas, NumPy) and SQL.
Experience with embedding techniques (word2vec, node2vec, GloVe, BERT, etc.) and integrating them into graph-based models.
Experience with cloud platforms (AWS, Azure, or GCP) and tools such as Kubernetes, Docker, for containerization and model deployment.