Our promise to you:
Joining AdventHealth is about being part of something bigger. It’s about belonging to a community that believes in the wholeness of each person, and serves to uplift others in body, mind and spirit. AdventHealth is a place where you can thrive professionally, and grow spiritually, by Extending the Healing Ministry of Christ. Where you will be valued for who you are and the unique experiences you bring to our purpose-minded team. All while understanding that together we are even better.
All the benefits and perks you need for you and your family:
Benefits from Day One: Medical, Dental, Vision Insurance, Life Insurance, Disability Insurance
Paid Time Off from Day One
403-B Retirement Plan
4 Weeks 100% Paid Parental Leave
Career Development
Whole Person Well-being Resources
Mental Health Resources and Support
Pet Benefits
Schedule:
Full time
Shift:
Day (United States of America)
Address:
6061 S Willow Dr
City:
Greenwood Village
State:
Colorado
Postal Code:
80111
Job Description:
Designs, builds, and extracts large and complex data sets while considering strategic uses and interactions with data design. Documents and shares thought processes, code, and conclusions. Performs other duties as assigned. Serves as the organization-wide specialist on Data Science methods, including data mining, statistical analysis, processing, cleaning, verifying data, and modeling/prediction. Applies Data Science methods such as applied statistics, logistic regression, decision trees, and support vector machines to drive cost, revenue, and outcomes. Leverages Data Science programming languages such as Python, R, and SQL to mine and analyze data from enterprise data sources. Participates in Data Science projects on behalf of the Business Analytics & Data Science Director. Employs critical thinking and creative problem-solving to address barriers and escalates issues to leadership when appropriate. Prioritizes multiple projects, meets project deadlines, and manages multiple customer relationships. Communicates complex data or algorithms into simple conclusions that drive business improvement actions. Identifies and quantifies market opportunities, forecasts market behavior, and analyzes ways to maximize the use of current physical assets. Collaborates with other departments to identify and refine opportunities for data-driven features.
Knowledge, Skills, and Abilities:• Trained in Data Science methods such as applied statistics, data engineering, and machine learning techniques [Required]
• Trained in Data Science programming languages such as Python, R, SQL, etc. [Required]
• Strong written and verbal communication skills, with the ability to tailor message to individuals and audiences throughout the institution [Required]
• Strong organizational skills, with the ability to focus detailed concentrated effort to multiple projects and re-establish priorities as necessary. Ability to effectively respond to time sensitive issues and meet deadlines [Required]
• Initiative and ability to work independently (self-direction), while thriving in a setting requiring collaboration and teamwork for maximal efficiency and effectiveness. Attention to detail that ensures accurate results and follow through on all initiatives [Required]
• Strong in desktop applications, including MS Office (Word, PowerPoint, Excel, and Access) and database management applications [Required]
• Accepts and benefits from direction and constructive feedback [Required]
Education:• Bachelor's [Required]
Field of Study:• in Data Science, Statistics, Computer Science, Mathematics, Physics, Information Systems, or related appropriate discipline
Work Experience:• 1+ experience in a healthcare organization [Preferred]
• 1+ experience in a related data science position [Preferred]
Additional Information:• N/A
Licenses and Certifications:• N/A
Physical Requirements: (Please click the link below to view work requirements)
Physical Requirements - https://tinyurl.com/23km2677
Pay Range:
$68,217.53 - $126,889.48
This facility is an equal opportunity employer and complies with federal, state and local anti-discrimination laws, regulations and ordinances.