Data Science Analyst Ii

energy.utexas.edu

Austin, Texas, United States
Base: $80,000 + depending on qualifications; bonus...
Master's degree in data science or related field
3+ years experience in data science and ml
Proficiency in python and sql programming
The Data Science Analyst II is responsible for developing advanced analytics and machine learning models to support clinical and administrative decision-making at Dell Medical School

Job Summary

  • The Data Science Analyst II is responsible for developing advanced analytics and machine learning models to support clinical and administrative decision-making at Dell Medical School.
  • This role requires translating complex business problems into scalable data science solutions while partnering with clinicians, IT, and data engineers.
  • Candidates must possess a Master's degree and at least three years of experience in data science, with proficiency in Python, SQL, and cloud platforms.

Matching Summary

The Data Science Analyst II is responsible for developing advanced analytics and machine learning models to support clinical and administrative decision-making at Dell Medical School.

Salary

Base: $80,000+ depending on qualifications; Bonus/Equity: Not specified; Benefits: Teacher Retirement System (TRS) eligible

Skills & Requirements

Must-have

  • Master's degree in Data Science or related field
  • 3+ years experience in data science and ML
  • Proficiency in Python and SQL programming
  • Experience with cloud platforms like Azure or AWS
  • Strong background in predictive modeling techniques

Nice-to-have

  • Doctorate in Data Science or Computer Science
  • Experience with healthcare data standards OMOP FHIR
  • Familiarity with MLOps tools and practices
  • Knowledge of clinical informatics data exchange
  • Ability to mentor junior analysts effectively

Key Requirements

  • Master's Degree in Data Science, Engineering, Statistics, or CS
  • Minimum 3 years of professional data science experience
  • Required proficiency in Python and SQL languages
  • Experience deploying models on Azure, AWS, or Google Cloud
  • Background in healthcare datasets preferred but not mandatory

Work Rights

Not specified

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