We are looking for a highly skilled Senior Data Scientist to lead advanced analytics, AI-driven solutions, and machine learning initiatives across multiple domains. The ideal candidate will have deep expertise in data science, MLOps, and AI frameworks, with proven experience in building scalable solutions that drive business impact.
Key Responsibilities:AI-Driven Analytics Solutions:
- Architect and develop advanced analytics portals and dashboards for business intelligence and executive reporting.
- Implement LLM-powered solutions for automated presentation generation and real-time insights.
Framework Development & Intelligent Querying:
- Build LangChain-based frameworks for analytical storytelling and real-time slide generation.
- Integrate Retrieval-Augmented Generation (RAG) and Text2SQL chatbots for intuitive data interaction.
System Integration & Scalable Architecture:
- Design and deploy FAST APIs for seamless integration across data sources and analytics engines.
- Develop scalable dashboards and reusable architectures for multi-vertical applications.
Risk Modeling & Operational Automation:
- Build predictive risk-scoring models using XGBoost for credit risk mitigation.
- Automate operational workflows for financial processes, improving efficiency and compliance.
MLOps & Team Leadership:
- Lead a team of data engineers and scientists, implementing CI/CD pipelines and MLOps workflows.
- Ensure secure, scalable, and reproducible ML operations across cloud infrastructure.
Advanced Data Engineering:
- Develop Airflow pipelines for large-scale data ingestion and processing.
- Automate sentiment analysis models and cluster segmentation for targeted campaigns.
Stakeholder Engagement:
- Create interactive dashboards for real-time insights using Power BI, SQL, and custom APIs.
- Collaborate with cross-functional teams to enable data-driven decision-making.
Technical Skills:- Programming & Frameworks: Python, LangChain, FAST API
- Machine Learning: XGBoost, Ensemble Models, Feature Engineering
- AI & NLP: LLMs, RAG, Text2SQL, Chatbots
- Data Engineering: Airflow, ETL Pipelines, SQL/NoSQL
- Cloud & MLOps: AWS (SageMaker, Lambda, S3), Azure, CI/CD
- Visualization Tools: Power BI, Tableau
- APIs & Integration: REST, Microservices Architecture
Preferred Qualifications:- 8+ years of experience in Data Science and Machine Learning
- Strong background in AI-driven solutions and advanced analytics
- Experience in BFSI, Hospitality, Real Estate, and E-commerce domains
- Certifications in Data Science, AI/ML, or Cloud (AWS/Azure) preferred
Soft Skills:- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management
- Ability to lead teams and mentor junior data scientists
- Agile/Scrum experience
