Data Scientist, Senior

Data Scientist, Senior – Intermountain Health

Join to apply for the Data Scientist, Senior role at Intermountain Health.

$54.00/hr – $85.00/hr

The Senior Data Scientist uses industry‑leading advanced analytics and data science practices to deliver on Intermountain Healthcare's mission to "Help people live the healthiest lives possible", making healthcare more affordable and higher quality, and making a difference in patients and communities we serve. Data Scientists use statistics, machine learning, and AI to discover insights and make recommendations for key business decisions.

Building an in‑house cohort development team enhances autonomy, efficiency, and strategic alignment while reducing vendor risks and costs. It develops internal expertise as a competitive advantage and enables easy comparison of provider and facility performance on supply costs, outcomes, and claims—accelerating improvement opportunities and advancing our Proactive Care strategy. This is a remote position. Incumbent will work Monday‑Friday during regular business hours.

• Develops innovative data science tools and methods that result in products or strategic insights with significant return on investment while meeting project requirements and timelines.
• Prepares data from diverse data stores for analytics including data mining and feature engineering within large datasets with complex classes and anomalies.
• Employs advanced statistical techniques while effectively and accurately interpreting the results of quantitative models to achieve clear outcomes.
• Proficiently uses statistical programming languages and tools appropriate for data science domains.
• Proficiently uses scripting languages to work with APIs, move data, and construct custom enterprise‑grade software utilities, applications, or analytic products to automate, improve, and operationalize quantitative models.
• Quickly learns and appropriately applies cutting‑edge advanced analytic methodologies and tools in creative and novel ways.

• Data Preparation
• Statistical Analysis
• Programming Proficiency
• Machine Learning
• Data Visualization
• Big Data Technologies
• Communication Skills
• Project Management

• Experience applying multiple statistical and machine learning modeling techniques (e.g., generalized linear models, tree‑based classification, network analysis, simulation modeling, inferential statistics, natural language processing, other structured and unstructured analytical methods).
• Experience developing custom machine learning methods.
• Experience programming using quantitative, procedural, and statistical programming languages such as R, Python, SQL, Spark, and Matlab.
• Understanding of data science systems and applications.
• Advanced experience using databases including design principles, data frameworks, and query languages.
• Experience efficiently manipulating, combining, and analyzing large or complex data sets, including unstructured data sources.
• Experience developing, analyzing, interpreting, and managing various complex data sets to drive insights with meaningful outcomes and demonstrated return on investment.
• Successful experience leading and participating in advanced analytic projects from inception to model deployment and workflow integration.
• Skilled in communicating technical insights through data visualization, verbal, written, and interpersonal communication.
• Experience fostering data science partnerships across all levels of an organization through effective communication and relationship management.

• Bachelor's Degree and four years of experience—or Master's Degree and two years of experience. Degree must be earned in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
• Experience in the field of data science, including measured outcomes from the development and deployment of algorithms, applications, or products.
• Experience integrating statistical and machine learning methodologies into workflows.
• Experience programming and reviewing code using statistical and data…