Data Science Advisors- Hybrid

Cigna

Austin, TX, United States
Hybrid
Predictive models
Machine learning
Genai
Lead the development and implementation of Data Science solutions leveraging predictive models, machine learning, GenAI, and other emerging advanced methods while aligning with user needs, business objectives, and the overall vision

Job Summary

  • Lead the development and implementation of Data Science solutions leveraging predictive models, machine learning, GenAI, and other emerging advanced methods while aligning with user needs, business objectives, and the overall vision.
  • Visualize, interpret, report, and communicate data findings using Tableau and other visualization tools.
  • Present results and recommendations to non-technical business partners and key leaders to drive decision-making.

Matching Summary

Lead the development and implementation of Data Science solutions leveraging predictive models, machine learning, GenAI, and other emerging advanced methods while aligning with user needs, business objectives, and the overall vision.

Skills & Requirements

Must-have

  • predictive models
  • machine learning
  • GenAI
  • data mining
  • SQL
  • R
  • Python
  • AWS cloud services
  • Apache Spark applications

Nice-to-have

  • communication with business partners
  • driving decision-making
  • emerging advanced methods

Key Requirements

  • Master's degree in STEM + 1 year experience
  • Bachelor's degree in STEM + 3 years experience
  • healthcare domain experience
  • experience with predictive modeling methods
  • experience with Scikit-Learn
  • experience with Mllib
  • experience with TensorFlow
  • experience with PyTorch
  • experience with GPT

Work Rights

Not specified

Tailored Resume

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