Select Health
Data Scientist-Associate
Select Health, Salt Lake City, Utah, United States, 84193
Job Description:
Use industry leading data science and artificial intelligence (AI) 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 develop end-to-end data science applications that apply predictive, prescriptive, and cognitive analytic methods to system-wide clinical and operational strategic initiatives.
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.
Quickly learns and appropriately applies cutting edge advanced analytic methodologies and tools in creative and novel ways.
Minimum Qualifications:
Bachelor's Degree in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline. Education must be obtained from an accredited institution. Degree will be verified.
Experience without a related degree will be considered if skill set and experience are robust.
Understanding of and experience using 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 programming using quantitative, procedural, and statistical programming languages such as R, Python, SQL, Spark, and Matlab.
Experience efficiently manipulating, combining, and analyzing large or complex data sets.
Experience developing, analyzing, interpreting, and managing various complex data sets to drive insights.
Skilled in communicating technical insights through data visualization, verbal, written, and interpersonal communication.
Preferred Qualifications:
Experience in the field of data science, including measured outcomes from the development and deployment of algorithms, applications, or products.
Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc.
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.
Physical Requirements:
Interact with others requiring the employee to verbally communicate information.
Operate computers and other IT 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.
Anticipated Job Posting Close Date:
07/25/2024
Location:
World Trade Center
Work City:
Salt Lake City
Work State:
Utah
Scheduled Weekly Hours:
40
The hourly range for this position is listed below. Actual hourly rate dependent upon experience: $43.49 - $68.48.
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.
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.
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Use industry leading data science and artificial intelligence (AI) 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 develop end-to-end data science applications that apply predictive, prescriptive, and cognitive analytic methods to system-wide clinical and operational strategic initiatives.
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.
Quickly learns and appropriately applies cutting edge advanced analytic methodologies and tools in creative and novel ways.
Minimum Qualifications:
Bachelor's Degree in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline. Education must be obtained from an accredited institution. Degree will be verified.
Experience without a related degree will be considered if skill set and experience are robust.
Understanding of and experience using 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 programming using quantitative, procedural, and statistical programming languages such as R, Python, SQL, Spark, and Matlab.
Experience efficiently manipulating, combining, and analyzing large or complex data sets.
Experience developing, analyzing, interpreting, and managing various complex data sets to drive insights.
Skilled in communicating technical insights through data visualization, verbal, written, and interpersonal communication.
Preferred Qualifications:
Experience in the field of data science, including measured outcomes from the development and deployment of algorithms, applications, or products.
Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc.
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.
Physical Requirements:
Interact with others requiring the employee to verbally communicate information.
Operate computers and other IT 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.
Anticipated Job Posting Close Date:
07/25/2024
Location:
World Trade Center
Work City:
Salt Lake City
Work State:
Utah
Scheduled Weekly Hours:
40
The hourly range for this position is listed below. Actual hourly rate dependent upon experience: $43.49 - $68.48.
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.
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.
#J-18808-Ljbffr