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Index Analytics LLC logoIndex Analytics LLC

Senior Data Scientist

Skills
Computer ScienceData AnalyticsDatabasesGlueHealthcareModelingProbability
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Master’s degree in Computer Science Data Science or related field required PhD preferred
  • Five or more years of experience as a Data Scientist or similar role
  • Strong experience in machine learning statistical modeling deep learning and probability hypothesis testing and regression
  • Demonstrated experience as a technical lead senior individual contributor or SME on ML or AI projects
  • Proven track record of deploying maintaining and monitoring ML and AI solutions in production
  • Strong understanding of MLOps practices including versioning CI/CD monitoring testing and operational support
  • Proven expertise in NLP and text analytics including transformer models embeddings vector databases and semantic search
  • Hands-on experience building LLM-powered applications including prompt engineering RAG and ideally agentic workflows or orchestration frameworks preferably in AWS
  • Advanced programming skills in Python and or R with experience using pandas NumPy scikit-learn PyTorch and TensorFlow
  • Strong experience with AWS cloud and MLOps tooling including SageMaker S3 Glue Airflow Redshift DynamoDB GitHub and Jenkins
  • Experience with backend systems data integration data modeling and supporting APIs for web-based applications
  • Strong written and verbal communication skills
  • U.S. citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three of the past five years
  • Must be able to obtain a U.S. Federal government client badge and pass a Public Trust clearance

Nice to have

  • Hands-on leadership
  • Healthcare domain focus
  • Agile collaboration
  • Mentoring mindset
  • Production-oriented
  • Stakeholder communication

Day to day

  • Lead AI and machine learning initiatives with hands-on technical ownership across solution design, model development, and production deployment
  • Build scalable ML and AI systems on AWS, including NLP, RAG, LLM applications, and agentic workflows for healthcare use cases
  • Mentor junior scientists, establish MLOps best practices, and translate complex analytical findings into clear dashboards and stakeholder-ready insights

Hiring process

  • Resume review
  • In-person interview at HQ
  • Background and badge eligibility review
  • Offer decision