Engage business stakeholders to define a solution fitting into the business process
Analyze large amounts of data to evaluate competitive cost positioning
Implement models, develop tools and algorithms to augment processes related to Claims, Appeals and Grievances ecosystem
Leverage analytics to drive efficiency and automation
Identify and size opportunities for analytics to improve efficiency and increase automation in claim adjudication, and claim rework
Develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Explore, examine and interpret large volumes of data in various forms
Perform analyses of structured and unstructured data to solve moderately complex business problems
Utilize advanced statistical techniques and mathematical analyses develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
Use data visualization techniques to effectively communicate analytical results and support business decisions
Create and evaluate the data needs of assigned projects and assure the integrity of the data
Explore existing data and recommend additional sources of data for improvements
Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
Build solutions that help with tracking of operational processes and policies and identify opportunities for improvements

Requirements

1+ years of relevant Data Science experience
1+ years' experience programming in Python
1+ years' experience programming in SQL
1+ year experience working with Cloud Technology (GCP, AWS or Azure)
1+ year experience deploying models in production
Bachelor's degree or equivalent work experience in Business Analytics, Economics, Physics, Engineering, Mathematics, Statistics, Computer Science, or related discipline. Master's degree preferred

Benefits

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata visualizationpredictive modelingstatistical techniquesalgorithm developmentdata structuresdata pipelinesautomationcloud technologyprogramming in Python

Soft Skills

stakeholder engagementproblem-solvingcommunicationanalytical thinkingattention to detailproject documentationcollaborationcritical thinkingorganizational skillsadaptability