Managed Care Data Scientist II (Health Insurance)

Job Summary:

The Data Scientist II 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:

• Mine and analyze large structured and unstructured datasets
• Develop visualizations that demonstrate the efficacy of models
• Provide statistical validation of outcomes analysis associated with clinical programs and interventions
• Communicate results and ideas to key stakeholders
• Perform any other job duties as requested

Education and Experience:

• Bachelor's Degree in Mathematics, Statistics, Engineering, Computer Science, other related field or equivalent years of relevant work experience is required
• Minimum of three (3) years of experience in data analysis and/or analytic programming required
• Healthcare experience is preferred

Competencies, Knowledge and Skills:

• Proficient in two or more of the following programming languages: R, Python, SAS or SQL
• Ability to perform advanced statistical analysis and modeling such as liner and non-liner regression, resampling and Markov chains
• Working knowledge of predictive modeling, machine learning algorithms such as clustering, decision trees, dimensionality reduction and natural language processing
• Proficient in feature engineering techniques and exploratory data analysis
• Familiarity with optimization techniques and artificial intelligence methods
• Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies
• 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:

Compensation Range:
$69,400.00 - $111,000.00 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: