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Intermountain Healthcare

Data Scientist-Senior

Company: Intermountain Healthcare

Location: Harrisburg, PA, United States

Posted on: November 24

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.

Currently we are unable to consider candidates for remote opportunities in the following states: California, Hawaii, New Jersey, New York, and Washington.

Experience in Python and Machine Learning a plus

  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. Proficiently uses scripting languages to work with API's, move data, and construct custom enterprise grade software utilities, applications, or analytic products to automate, improve, and operationalize quantitative models.

  6. Quickly learns and appropriately applies cutting edge advanced analytic methodologies and tools in creative and novel ways.

Minimum Qualifications

Bachelor's Degree and four years of experience

  • or -

Experience without a related degree will be considered if skill set and experience are robust.

  • 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. Education must be obtained from an accredited institution. Degree will be verified.

  • and -

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).

  • and -

Experience developing custom machine learning methods.

  • and -

Experience programming using quantitative, procedural and statistical programming languages such as R, Python, SQL, Spark, and Matlab.

  • and -

Understanding of data science systems and applications.

  • and -

Advanced experience using databases including design principles, data frameworks, 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 demonstrated return on investment.

  • and -

Successful experience leading and participating in advanced analytic projects from inception to model deployment and workflow integration.

  • and -

Skilled in communicating technical insights through data visualization, verbal, written, and interpersonal communication.

  • and -

Experience fostering data science partnerships across all levels of an organization through effective communication and relationship management.

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 using or creating API's, functions, libraries, and/or packages.

  • 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.

Location:

Key Bank Tower

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.

$52.52 - $82.69

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 ([ Link removed ] - Click here to apply to Data Scientist-Senior and our commitment to diversity, equity, and inclusion ([ Link removed ] - Click here to apply to Data Scientist-Senior .

Intermountain Healthcare is a Utah-based, not-for-profit system of 33 hospitals (includes "virtual" hospital), a Medical Group with more than 3,800 physicians and advanced practice clinicians at about 385 clinics, a health plans division called SelectHealth, and other health services. Helping people live the healthiest lives possible, Intermountain is widely recognized as a leader in clinical quality improvement and efficient healthcare delivery.

Join our world-class team and embark on a career filled with opportunities, strength, innovation, and fulfillment.

To find out more about us, head to our career site here ([ Link removed ] - Click here to apply to Data Scientist-Senior .

Intermountain Healthcare strives to make the application process accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact

1-800-843-7820
or email [ Email address blocked ] - Click here to apply to Data Scientist-Senior . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Intermountain Healthcare 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.

We intentionally work toward an Intermountain Healthcare that reflects our diverse communities and provides culturally competent care, health equity, and a sense of belonging amongst all our caregivers (employees). This is an important part of fulfilling our mission to help people live the healthiest lives possible. The three pillars of our work are talent experience with Intermountain (application, internship, development, etc.), community benefit, and care delivery.

Learn more about diversity at Intermountain, here. ([ Link removed ] - Click here to apply to Data Scientist-Senior yourself to our Talent Acquisition team and we will get in touch if there is a role that seems like a good match.

Intermountain Healthcares PEAK program supports caregivers in the pursuit of their education goals and career aspirations by providing up-front tuition coverage paid directly to the academic institution. The program offers 100+ learning options to choose from, including undergraduate studies, high school diplomas, and professional skills and certificates. Caregivers are eligible to participate in PEAK on day 1 of employment. Learn more. ([ Link removed ] - Click here to apply to Data Scientist-Senior primary intent of this job description is to set a fair and equitable rate of pay for this classification. Only those key duties necessary for proper job evaluation and/or labor market analysis have been included. Other duties may be assigned by the supervisor.

All positions subject to close without notice. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or protected veteran status. Women, minorities, individuals with disabilities, and veterans are encouraged to apply.

Thanks for your interest in continuing your career with our team!

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