Data Science Lead Qualifications: * 5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems. * 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration. * Strong background of ML/DL/LLM algorithms, model architectures, and training techniques. * Proficiency (3+ years) in Python, SQL, Spark, PySpark, TensorFlow and other analytical/model-building programming languages. * Proficiency with tools and LLMs. * Ability to work independently and collaboratively within a team. Preferred Skills: * Experience in GenAI/LLMs projects. * Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). * Background in investment banking and risk management. * Neo4j experience Roles & Responsibilities As a Data Scientist Lead, you will be involved, but not limited to: * Develop plans and coordinate with teams for all analytical efforts. * Manage deliverables in an agile environment and maintain clear communication with all model stakeholders. * Present status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc. * Data modelling and cleaning from internal and external sources. * Build predictive and prescriptive models by manipulating and cleaning results. * Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using technology SDLC process. * Implement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability. * Design and develop algorithms for generative models using deep learning techniques. Salary Range- $100,000-$130,000 a year #LI-CO1 #LI-SN1