Data Scientist

We are seeking an experienced Senior Data Scientist with deep expertise in Generative AI, Machine Learning, Statistical Modeling, and MLOps. The ideal candidate will have a proven track record of leading AI initiatives, developing scalable machine learning solutions, and delivering measurable business outcomes through data-driven decision-making. This role requires strong technical expertise in LLMs, Retrieval-Augmented Generation (RAG), predictive analytics, cloud platforms, and advanced statistical methodologies., * Lead the design, development, and deployment of Generative AI and Machine Learning solutions.

• Build and optimize Large Language Model (LLM) applications using RAG frameworks.
• Develop scalable AI solutions leveraging LangChain and LlamaIndex.
• Design and implement predictive models for Churn Analysis, Customer Lifetime Value (CLV), and Propensity Modeling.
• Perform advanced statistical analysis to identify business insights and optimization opportunities.
• Develop and maintain ML pipelines using cloud-native and MLOps best practices.
• Work with large-scale datasets using SQL, PySpark, and Databricks.
• Collaborate with business stakeholders to translate requirements into AI-driven solutions.
• Conduct Design of Experiments (DOE) and Statistical Process Control (SPC) analysis.
• Drive continuous improvement initiatives using Six Sigma and Lean methodologies.
• Monitor, evaluate, and improve model performance and scalability.

• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• LangChain
• LlamaIndex
• Python
• PyTorch
• Scikit-learn
• SQL
• PySpark
• Databricks
• AWS
• Azure
• MLOps
• Predictive Modeling
• Churn Modeling
• Customer Lifetime Value (CLV) Modeling
• Propensity Modeling
• Statistical Analysis
• Design of Experiments (DOE)
• Statistical Process Control (SPC)
• Six Sigma Black Belt
• Lean Six Sigma, * Experience leading enterprise AI and Machine Learning initiatives.
• Experience deploying and managing production-grade LLM applications.
• Strong understanding of AI architecture, model governance, and responsible AI practices.
• Experience with cloud-native data and AI platforms.
• Advanced knowledge of machine learning model deployment and monitoring.
• Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field preferred.
• Six Sigma Black Belt Certification preferred.

Soft Skills:

• Strong analytical and critical thinking abilities.
• Excellent problem-solving and decision-making skills.
• Strong communication and presentation skills.
• Ability to explain complex technical concepts to business stakeholders.
• Leadership and mentoring capabilities.
• Strong collaboration and stakeholder management skills.
• Ability to work independently in a fast-paced environment.

Mandatory Skills:

• Generative AI
• LLMs (Large Language Models)
• RAG (Retrieval-Augmented Generation)
• LangChain
• LlamaIndex
• Python
• PyTorch
• Scikit-learn
• SQL
• PySpark
• Databricks
• AWS / Azure
• MLOps
• Predictive Modeling
• Churn Modeling
• Customer Lifetime Value (CLV)
• Propensity Modeling
• Statistical Analysis
• DOE (Design of Experiments)
• SPC (Statistical Process Control)
• Six Sigma Black Belt / Lean Six Sigma