Lead Data Scientist

About this role

**Responsibilities
Octave's ETQ**
division is seeking a hands-on Data Scientist to build predictive models, implement Generative AI and Agentic AI features, and architect data-driven solutions for our document-based compliance management platform. This role requires a technical expert who can develop, deploy, and maintain ML systems in production environments.

• Build and deploy Generative AI features using foundation models (AWS Bedrock, OpenAI, Anthropic Claude) and RAG architectures with vector databases for compliance document understanding
• Design agentic AI systems that autonomously handle compliance workflows, document review, regulatory mapping, and multi-step reasoning tasks
• Implement comprehensive LLM evaluation frameworks with automated pipelines, custom metrics, benchmark datasets, and safety guardrails ensuring regulatory compliance
• Build end-to-end MLOps pipelines for model training, deployment, monitoring, versioning, and automated retraining with drift detection
• Develop predictive models for compliance risk scoring, regulatory change impact, anomaly detection, and time-series forecasting
• Write production-quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows
• Lead A/B experiments and product analytics to measure AI feature impact and drive data-driven decision-making
• Create explainability frameworks (SHAP/LIME) and monitoring dashboards ensuring transparency and regulatory adherence
• Collaborate with cross-functional teams to translate business needs into ML solutions and communicate insights to stakeholders

Python (5+ years
): Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest


SQL:
Advanced proficiency with complex queries, window functions, and optimization


Machine Learning & NLP:
Strong foundation in supervised/unsupervised learning, d...