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Machine Learning Engineer/Data Scientist - Enterprise Analytics

Job ID: 7522
Location: Morrisville, NC
Facility/Division: Shared Services
Status: Full Time
Shift: Day Job

Did you know UNC Health has Ranked #2 Most Trusted Healthcare Brand in the U.S.? The UNC Health brand was ranked as the #4 healthcare brand in the United States overall and the #2 most trusted healthcare brand, just after Johns Hopkins and before Mass General. Join our One-Great-Team!

Job Description

Description

Become part of an inclusive organization with over 40,000 diverse employees, whose mission is to improve the health and well-being of the unique communities we serve.

This position may involve support of various hospitals and health care systems within the UNC Health Care System, but will be employed by Rex Hospital, Inc. (this includes, but is not limited to, for purposes of payroll, health benefits, retirement options, and applicable policies).

Summary:
Data Scientists are experts within UNC Health Care's Enterprise Analytics and Data Sciences organization regarding the application of advanced analytical methods to improve health care delivery, cost, quality, and outcomes. Data Scientists use data science and software engineering techniques to create and deploy unique and innovative advanced analytics solutions that deliver actionable information to stakeholders with a high degree of impact. Machine Learning Engineer/Data Scientist is a part of the Data Science job family within UNC Healthcare.

Responsibilities

·Designs and develops enterprise-class, advanced analytic models to understand and solve complex business problems. Creates models by analyzing large data sets from various sources and processes.
·Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.
·Develop and maintain algorithms, data packages, automated processes, and services to create a Data Science-backed solutions that meets a business needs and supports UNC healthcare objectives, products and improves while also improving processing efficiency.
·Gather data sets; build synthetic data and label data sets as per the needs of for Data Science solutions and Machine Learning
·Apply software engineering and machine learning skills to build Data Science & ML products to improve that provide automation and improve business and user experience
·Utilizing machine learning techniques, design and build Data Science solutions and ML products — from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated services
 ·Interfaces with relevant stakeholders to assist in lifecycle activities such as requirements gathering, research activities, and solution architecture and design.
Organizes methods, plans, and data constructs for effective clinical and business analyses.
 


    Other Information

    Other information:
    Education Requirements:
    ● Requires a Bachelor's degree in a related field
    Licensure/Certification Requirements:
    Professional Experience Requirements:
    ● If a Doctorate: Requires one (1) years of relevant experience
    ● If a Master's Degree: Requires three (3) years of relevant experience
    ● If a Bachelor's Degree: Requires five (5) years of experience
    Knowledge/Skills/and Abilities Requirements:
    ● • Requires prior experience with R, Python, or other analytics/data mining tools, databases, and computer programming.
    • Requires prior experience in developing complex solutions utilizing Business Intelligence tools.
    • Requires prior experience in building and deploying predictive models and other analytic assets.
    • Requires prior experience in SQL/Database programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and groupings

    1. Theoretical fluency and working proficiency in the application of a broad array of statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.
    2. Strong analytical and problem solving skills along with ability to work with large, disparate data sets, performing data mining, validation and analysis to trend and interpret information.
    3. Ability to interpret and summarize results of various analyses in a timely and meaningful way is required.
    4. Superior computer skills are required, with knowledge in relevant software packages and languages such as, but not limited to, R, Python and SQL.
    5. Strong database understanding and familiarity with complex data and structures
    6. Strong skills in data visualization concepts and techniques.
    7. Excellent analytical, conceptual and problem-solving abilities.
    8. A high degree of professionalism, enthusiasm, autonomy and initiative on a daily basis is required.
    9. Excellent listening, interpersonal and communication skills. Must maintain excellent communications with customers and stakeholders
    10. Ability to work independently in a fast-paced environment is required.
    11. Highly self-motivated, self-directed and attentive to detail.
    12. Experience managing multiple and competing tasks/priorities with delivery deadlines
    13. Great attention to detail and accuracy
    14. Comfortable and proficient in executing in virtual and/or cloud computing environments


    Job Details

    Legal Employer: NCHEALTH

    Entity: Shared Services

    Organization Unit: Enterprise Analytics 

    Work Type: Full Time

    Standard Hours Per Week: 40.00

    Work Schedule: Day Job

    Location of Job: US:NC:Morrisville

    Exempt From Overtime: Exempt: Yes



    This position is employed by NC Health (Rex Healthcare, Inc., d/b/a NC Health), a private, fully-owned subsidiary of UNC Health Care System, in a department that provides shared services to operations across UNC Health Care. This is not a State employed position.
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    Diversity Statement

    The UNC Health System and the UNC School of Medicine are committed to valuing all people throughout our organization, regardless of background, lifestyle, and culture. A diverse and inclusive work environment for staff and culturally appropriate care for our patients, are essential to fulfilling our UNC Health vision of improving the health of all North Carolinians.

    Equal Employment Opportunity

    UNC Health is an equal opportunity employer. As such, UNC Health offers equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, genetic information, disability, sexual orientation, gender identity or political affiliation.

    To verify employment eligibility, UNC Health is committed to Form I-9 and the E-Verify process. Learn further E-Verify details in English or Spanish.

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