Sr Data Scientist (AI / ML & GenAI)

Codetech•Irvine, CA

About The Position

The Sr Data Scientist will lead complex, production-grade AI/ML systems at scale while balancing hands-on technical work with strategic leadership. The role focuses on data science, advanced analytics, NLP/NLU, healthcare analytics, and Generative AI. It also involves driving ambiguous problems toward clear outcomes and communicating technical work effectively to executives.

Requirements

  • Around 6 years of experience in Data Science, AI/ML, or Advanced Analytics.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field from a reputed institution.
  • Demonstrated experience leading complex, production-grade AI/ML systems at scale.
  • Prior experience mentoring or leading data scientists, formally or informally.
  • 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 PyTorch and/or TensorFlow.
  • Strong working knowledge of LLMs and Generative AI, including prompt design, orchestration, and evaluation.
  • Extensive experience with NLP/NLU, including NER, summarization, classification, and entity extraction; clinical or healthcare data experience is preferred.
  • Strong understanding of statistical modeling, experimentation, and model validation.
  • 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, high accountability, and bias for action.

Nice To Haves

  • Deep understanding of Medicare Risk Adjustment and CMS programs.
  • Hands-on experience with CMS datasets, including MMR, MOR, EDPS, and encounter data.
  • Experience working with clinical, coding, or claims data in healthcare environments.

Responsibilities

  • Lead complex, production-grade AI/ML systems at scale.
  • Mentor or lead data scientists, formally or informally.
  • Own outcomes and drive ambiguous problems to clarity.
  • Balance hands-on technical depth with strategic leadership.
  • Communicate and tell compelling stories to executive audiences.
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