Senior Data Scientist

📋 Description

• Own end-to-end ML model development from research to deployment
• Explore generative methods for fraud/anomaly detection
• Design experiments to evaluate performance and generalization
• Partner with data engineers to build scalable data pipelines
• EDA and modeling on structured/unstructured data
• Collaborate with product/domain experts to define problems

🎯 Requirements

• 8+ years in applied data science, ML, or AI research
• Strong CS/math foundations
• Deep experience with generative modeling and anomaly detection
• Strong Python with ML libs (TensorFlow, PyTorch, scikit-learn)
• Production ML with large-scale/noisy data
• Evaluation, cross-validation, trustworthy modeling

🎁 Benefits

• Autonomy and impact in security-focused AI work
• Modern stack with Databricks, HuggingFace, AWS SageMaker
• Collaborative culture and continuous learning