Education Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or related quantitative field from a reputed institution. Experience Around 6 years of experience in Data Science, AI/ML, or Advanced Analytics. Demonstrated experience leading complex, production-grade AI/ML systems at scale. Prior experience mentoring or leading data scientists (formal or informal). Core Technical Expertise Expert proficiency in Python and PySpark. Deep hands-on experience with Spark, Hive, distributed data processing, and cloud platforms. Strong command of ML algorithms, ensemble methods, and advanced feature engineering. Proven hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow). Strong working knowledge of LLMs and Generative AI, including prompt design, orchestration, and evaluation. NLP & Healthcare Analytics Extensive experience with NLP/NLU (NER, summarization, classification, entity extraction), preferably on clinical or healthcare data. Strong understanding of statistical modeling, experimentation, and model validation. Leadership & Professional Skills Proven ability to drive ambiguity to clarity and own outcomes. Strong executive communication and storytelling skills. Ability to balance hands-on technical depth with strategic leadership. Demonstrated ownership mindset with high accountability and bias for action. Domain Expertise (Strongly Preferred) Deep understanding of Medicare Risk Adjustment and CMS programs. Hands-on experience with CMS datasets (MMR, MOR, EDPS, Encounter data). Experience working with clinical, coding, or claims data in healthcare environments.

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Background Check : No

Drug Screen : No