Lead Data Scientist

Role descriptionData Scientist / NLP Analyst - Mid-Level (6+ Years Experience)Overview6+ years of related data sciences work experience.Minimum of 1–3 years of experience in Data Sciences, AI/ML engineering Experience with vector databases, data pipelines, and retrieval systems with experience in designing and executing end-to-end experimentsDeep Experience in RAG, LLMs, GenAI, Embeddings, Prompt Engineering and Agentic AI.Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.Domain expertise in Asset Management (Preferable)Key ResponsibilitiesDesign, develop, and deploy machine learning models that solve real-world problems.Extract, clean, and preprocess large, unstructured datasets from various internal and external sources.Conduct deep-dive analyses to identify hidden trends, anomalies, and patterns that drive strategic decision-making.Build, train, and validate predictive models and machine learning algorithms (e.g., regression, classification, clustering, NLP).Build Conversational Platform leveraging LLMs, RAG, GenAI etc.,Mentor, coach, train, and develop data scientists / analysts. Proactively expand knowledge of business and analytics and shares with team members.Required QualificationsExperience: 6+ years of professional experience in data sciences, AI/ML Development, or a closely related field.Education: Master’s degree in Computer Science, Data Science, Engineering, or a quantitative field.Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.Other detailsSalary range $63000 to $134500