About the role
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.