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Sr Data Scientist (AI ML & GenAI)

SmartIPlace


Job Location:

Irvine, CA - USA

Monthly Salary: Not provided by the employer
Posted: 2 July 2026 (30+ days ago)
Application Deadline: 29 September 2026
Vacancies: 1 Vacancy

Job Summary

Hi

I hope you are doing well.

Please find the job details below:

Job Title: Sr Data Scientist (AI / ML & GenAI)
Location: Irvine CA

Requirement:

  • Education Bachelors or Masters 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 modelling 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.