Job Description:
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 the patients and communities we serve. Data Scientists use statistics, machine learning, and AI to discover insights and make recommendations for key business decisions.
Position Details:
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.
Job Essentials
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.
Skills
Data Preparation
Statistical Analysis
Programming Proficiency
Machine Learning
Data Visualization
Big Data Technologies
Communication Skills
Project Management Minimum Qualifications:
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. ?Preferred Qualifications:
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 software tools like R, Python, SQL, Spark, Scala, etc.
Experience using or creating APIs, functions, libraries, and/or packages.
Experience successfully using Big Data technologies like Hadoop, Spark, Hive, NoSQL, in-memory data stores, etc., and Cloud technologies such as AWS, Azure, etc.
Successful project experience working with advanced data analysis in a healthcare or insurance setting.
Longitudinal patient cohort experience is preferred
Physical Requirements:
Interact with others by effectively communicating, both orally and in writing
Operate computers and other office equipment requiring the ability to move fingers and hands
See and read computer monitors and documents
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment
May require lifting and transporting objects and office supplies, bending, kneeling and reaching
Location:
Transformation Center
Work City:
Murray
Work State:
Utah
Scheduled Weekly Hours:
40
The hourly range for this position is listed below. Actual hourly rate dependent upon experience.
$54.12 - $85.20
We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.
Learn more about our comprehensive benefits package here (https://intermountainhealthcare.org/careers/benefits) .
Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process.
All positions subject to close without notice.
