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    Managed Care - Dayton, United States - CareSource

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    Description

    Job Summary:


    The Data Scientist III is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the organization (operational, clinical, financial, marketing, etc.).


    Essential Functions:
    Create, maintain, and communicate analytical plan for each project
    Balance progress in multiple concurrent projects
    Present models and analyses to management
    Mentor new and developing junior Data Scientists
    Mine and analyze large structured and unstructured datasets
    Employ wide range of data sources to develop algorithms for predicting risk, understanding drivers of risk, detecting outliers, etc.
    Develop visualizations that demonstrate the efficacy of developed algorithms
    Provide statistical validation and analysis of outcomes associated with clinical programs and interventions
    Develop innovation models to differentiate CareSource as a leader in advanced healthcare analytics
    Evaluate new software and other tools to advance data science capabilities
    Lead collaboration with other teams to integrate with existing solutions
    Communicate results and ideas to key stakeholders
    Prepare code for operationalization of end-to-end model pipeline and deliverable for business consumption
    Perform any other job duties as requested

    Education and Experience:
    Bachelor's Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field or equivalent years of relevant work experience is required
    Master's degree or PhD is preferred
    Minimum of five (5) years of experience in data analysis and/or analytic programming required
    Experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) is required
    Two (2) years healthcare experience is preferred

    Competencies, Knowledge, and Skills:
    Expert knowledge of a scientific programing language (such as Python or R) and SQL
    Knowledge of developing reports or dashboards in Power BI or other business intelligence applications
    Ability to perform basic statistical analyses and techniques including A/B testing, general significance testing, and sampling methodologies
    Extensive knowledge of predictive modeling and machine learning algorithms such as generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction and natural language processing
    Proficient in feature engineering techniques and exploratory data analysis
    Working knowledge of optimization techniques and artificial intelligence methods
    Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies
    Proven analytic skills in solving multi-dimensional problems and experience in creating reports, projections, models, and presenting to business stakeholders
    Comfortable reading academic research papers and applying them in the models
    Proficient with MS office (Excel, PowerPoint, Word, Access)
    Demonstrated critical thinking, verbal communication, presentation, and written communication skills
    Ability to work independently and within a cross-functional team environment

    Licensure and Certification:
    None

    Working Conditions:
    General office environment; may be required to sit or stand for extended periods of time

    Compensation Range:
    $79, $127,600.00 CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.

    Compensation Type:
    Salary

    Competencies:
    #J-18808-Ljbffr


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