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Data Scientist
  • Machine Learning
  • Database
SSM Health
St. Louis, MO 63132
158 days ago

PRIMARY RESPONSIBILITIES

  • Uses machine learning to mine data from clinical databases.
  • Parses, validates, and scrubs data of different formats (structured and unstructured) to ensure the integrity of clinical data.
  • Implements visualizations of data that are user friendly, easily interpreted, and actionable.
  • Develops creative and analytically driven solutions by employing statistical and machine learning techniques.
  • Designs experiments, collects data, performs statistical analysis, and presents solutions to improve clinical care.
  • Automates resource-consuming and repetitive tasks by writing reusable code for speeding up the delivery of commonly-made requests related to fetching, summarizing, transforming and visualizing data.
  • Develops, evaluates, implements, maintains and enhances predictive models and processes.
  • Performs other duties as assigned.


EDUCATION

  • Bachelor’s degree in business or health care, Associate’s degree, or high school diploma or equivalent


EXPERIENCE

  • Three years’ relevant experience with a Bachelor's degree; seven years' relevant experience with an Associate's degree; or one year of additional schooling/training and ten years of relevant experience with a high school/equivalent

PHYSICAL REQUIREMENTS

  • Frequent lifting/carrying and pushing/pulling objects weighing 0-25 lbs.
  • Frequent sitting, standing, walking, reaching and repetitive foot/leg and hand/arm movements.
  • Frequent use of vision and depth perception for distances near (20 inches or less) and far (20 feet or more) and to identify and distinguish colors.
  • Frequent use of hearing and speech to share information through oral communication. Ability to hear alarms, malfunctioning machinery, etc.
  • Frequent keyboard use/data entry.
  • Occasional bending, stooping, kneeling, squatting, twisting and gripping.
  • Occasional lifting/carrying and pushing/pulling objects weighing 25-50 lbs.
  • Rare climbing.

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