THE TEAM YOU WILL BE JOINING:

• One of the largest health systems in the South focused on giving great care to patients and easy access to their services and locations.
• System consists of 9 hospitals, 8 emergency departments, 300+ medical offices, 9 cancer centers, 50+ rehab centers, and 18 urgent care locations.
• Not-for-profit health system with a focus on serving the communities in which they operate with the mission to enhance the health and wellbeing of every person served and to deliver world-class healthcare to every person, every time.

WHAT THEY OFFER YOU:

• Team-oriented work environment with investment in technology.
• High visibility and collaboration with senior executives.
• Opportunity to work on major projects and initiatives impacting the strategic growth and long-term plans of the organization.
• Great compensation and benefits package.
• Opportunity to make a major impact in the healthcare space.

WHAT YOU WILL DO:

• Be the hands-on, results-oriented leader who will develop and grow the new data science function. 
• Work directly with leaders and clinical teams within the organization to help identify high value opportunities to apply data science methods and deliver meaningful and actionable insights to move forward on specific high-level system quality and operational improvement goals.
• Responsible for establishing clear goals, developing future state
  core competencies within the team, and build a culture of open communication and collaboration.
• Represent the Data & Insights team within the organization and independently gather requirements from customers at all levels and select the best tool to create models to support business
  decisions.
• Bridge the gap between the deep technical understanding of the data scientists/decision scientists and the business leaders to clearly explain the models and their benefits and drive
  adoption.

HOW WILL YOU QUALIFY:

• Master's Degree in Analytics/Data Science, Statistics, Mathematics, Computer Science, Public Health or related Professional work experience is required. 
• Experience with a variety of Machine Learning techniques, like Clustering and Decision Trees, and the ability to demonstrate real world application of the techniques. 
• Strong grasp of Data Engineering, Statistics, predictive modeling, NLP, and optimization.
• Strong experience with end-to-end components of modeling pipeline, including Data Selection and Engineering, model selection and creation. 
• Strong experience with data visualization, and presentation of results
• Experience with monitoring of effectiveness and implementing improvements. 
• Experience with scripting languages like Python or R, SQL, Excel and BI Tools. 
• Strong experience with Tableau and/or PowerBI 
• Previous experience in the healthcare space is preferred
• Must be a clear and effective communicator with experience managing/leading a team.