Work Type: Active - Benefit Eligible and Accrues Time Off Exempt: Yes
Work Schedule: Monday - Friday (Remote)
Location: Suntrust, US:FL:Lakeland
Position Summary
Summary: The Data Scientist I reports to the Manager of Analytics. This position is an advanced technical professional role responsible for exploring and analyzing data across the enterprise and presenting information and key insights that supports the organization’s strategies. The Data Scientist I uses mathematics, statistics, modeling, business analysis, and technology to transform healthcare and business data into advanced analytic solutions. This role will interface with the business, graduate medical education, and IT community to ensure that the right people have access to the right data in the right format at the right time. The Data Scientist I will identify and prioritize opportunities for and contribute to the improvement of quality, safety and cost, as well as Patient, Customer, Physician and Employee satisfaction. S/he is expected to perform all work in accordance with all relevant LRH standards, policies, and procedures. S/he may perform other duties as assigned.
Position Details
Detailed responsibilities:
People At The Heart Of All We Do
Fosters an inclusive and engaged environment through teamwork and collaboration.
Ensures patients and families have the best possible experiences across the continuum of care.
Communicates appropriately with patients, families, team members, and our community in a manner that treasures all people as uniquely created.
Safety And Performance Improvement
Behaves in a mindful manner focused on self, patient, visitor, and team safety.
Demonstrates accountability and commitment to quality work.
Participates actively in process improvement and adoption of standard work.
Stewardship
Demonstrates responsible use of LRH's resources including people, finances, equipment and facilities.
Knows and adheres to organizational and department policies and procedures.
Standard Work Duties: Data Scientist
Identify opportunities and improve organizational effectiveness with enhanced or new analysis techniques and insights, based on industry standard practices and lessons learned
Lead the development of the Data Science and Analytics function based on industry best practices, and build processes and procedures for LRH.
Act as the internal technical expert and consultant to the IS department and to the business in the area of data and analysis. Participate in LRH's initiative to become a leader in patient data sharing for Polk County and assist in defining value/ownership.
Analyze and propose modern solutions to replace legacy systems and data, such as individually-created and widely dispersed databases and spreadsheets, to better align with LRH enterprise information standards and strategies for single source of data, and integration
Collaborate with and across all departments to translate business needs for information and knowledge into long-term data science solutions that add value to the organization. Document and build consensus for the proposed designs and solutions.
Provide consultative support to other analytics teams as well as business departments to improve data flow and analysis to drive results.
Qualifications & Experience
Education:
Essential:
Master Degree
Nonessential:
PhD
Education equivalent experience:
Essential:
Analytics, Information Systems, Computer Science, Mathematics, Engineering, Statistics or related scientific discipline
Nonessential:
relevant technical field
Other information:
Experience Essential:
5+ years of experience designing, managing, developing and analyzing multiple large complex data models spanning multiple disparate sources
3+ years of experience delivering key insights to and serving as trusted advisor to Board of Directors, Executives, Directors and Managers
Prior Experience in a Health Care System
Advance SQL knowledge (TSQL and PSQL)
Prior work in querying Cerner Millennium Database
Experience working in research centric environment
R or Python Experience
Preferred:
Experience utilizing a formal Quality Management methodology such as Six Sigma, TQM, or Crosby
Experience with business and clinical data in a healthcare setting, especially Cerner, Epic, and Lawson ERP
Experience with Cerner Learning Health Network
Experience using Spark
Knowledge of Epic and Allscripts Data Models
Certifications Preferred: Information Systems certification in a specific supported software package(s); One or more industry certifications such as PMI, ITIL, CPHIMS, COBIT, SMMI, Six Sigma.