Manages the design and development of scalable software solutions utilizing statistical, artificial intelligence (AI), and machine-learning (ML) modeling approaches
Performs and oversees research and testing to develop machine learning algorithms and predictive models
Conducts and reviews model training and evaluation
Integrates, tests, tunes, and monitors solutions
Leads the design, development, and maintenance of predictive analytics, machine learning, and artificial intelligence solutions, making specific determinations about overall performance, reliability, and scalability
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to develop use cases and to deploy solutions into production
Communicates advanced ML/AI concepts to senior leadership to facilitate decision making
Works cross functionally with product managers, data scientists, and engineers to understand, implement, refine, and design machine learning and other algorithms
Maintains knowledge of new learning approaches, technology, and tools through continuous research to ensure currency of solutions
Drives innovative ideas and act as one of the thought leaders in identifying and selecting use cases for applicability of machine learning, appropriate modeling techniques and technologies, and determines success criteria and implementation methodologies
Manages the hiring and training of new and existing staff, conducts performance reviews, and provides leadership, technical guidance, and coaching
Shares knowledge and develops staff capabilities to strengthen understanding of business issues and best practices
Develops and communicates organizational objectives; inspires and motivates team members to achieve results
Responsible for the establishment and maintenance of Agile Scrum ceremonies and methodologies on the team
Performs other duties as assigned
Complies with all policies and standards

Requirements

Requires a Bachelor's degree and 6+ years of related experience, including prior management experience
Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position
Experience in fraud/waste/abuse identification and investigation, provider billing, or clinical coding preferred
Knowledge of Home Health/Hospice and/or Behavioral Health billing, typical practice, and areas of potential FWA preferred.
Knowledge of statistical analysis
Knowledge of building predictive models
Experience leading engineers through technical impediments and production support
Experience with cloud computing environments, Spark, creating database schemas, continuous integration/continuous deployment, SQL, Python, REST APIs preferred
Experience building ML/AI models using common methods within Python
Knowledge of JIRA and Agile methodologies

Benefits

competitive pay
health insurance
401K and stock purchase plans
tuition reimbursement
paid time off plus holidays
flexible approach to work with remote, hybrid, field or office work schedules

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learningartificial intelligencepredictive modelingstatistical analysiscloud computingSQLPythonREST APIsAgile methodologiescontinuous integration

Soft Skills

leadershipcommunicationcollaborationcoachingmotivational skillstechnical guidanceperformance managementproblem-solvinginnovationcross-functional teamwork