Data Scientist-Staff

at  Intermountain Healthcare

JOB DESCRIPTION:

Use industry leading data science and artificial intelligence (AI) practices to deliver on Intermountain Health’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.
Unfortunately, we are not currently considering candidates that require visa sponsorship for this position. We apologize for the inconvenience.
Job Essentials
1. 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.
2. Prepares data from diverse data stores for analytics, including data mining and feature engineering within large datasets with complex classes and anomalies.
3. Employs advanced statistical techniques while effectively and accurately interpreting the results of quantitative models to achieve clear outcomes.
4. Proficiently uses statistical programming languages and tools appropriate for data science domains.
5. Quickly learns and appropriately applies cutting edge advanced analytic methodologies and tools in creative and novel ways.
Minimum Qualifications
Bachelor’s Degree and two years of experience
- or -
Experience without a related degree will be considered if skill set and experience are robust.
- or -
Master’s Degree. 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. Education must be obtained from an accredited institution. Degree will be verified.
- and -
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).
- and -
Experience programming using quantitative, procedural, and statistical programming languages such as R, Python, SQL, Spark, and Matlab.
- and -
Applied use of databases and query languages.
- and -
Experience efficiently manipulating, combining, and analyzing large or complex data sets, including unstructured data sources.
- and -
Experience developing, analyzing, interpreting, and managing various complex data sets to drive insights with meaningful outcomes.
- and -
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.
- and -
Experience integrating statistical and machine learning methodologies into workflows.
- and -
Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc.
- and -
Experience successfully using Big Data technologies like Hadoop, Spark, Hive, NoSQL, in-memory data stores, etc., and Cloud technologies such as AWS, Azure, etc.
- and -
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.
- and -
Operate computers and other IT equipment requiring the ability to move fingers and hands.
- and -
See and read computer monitors and documents.
- and -
Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Please refer the Job description for details