Job Description

Location: Steward Health Care
Posted Date: 6/18/2021

POSITION SUMMARY:

(Briefly describe the overall purpose of this position - Why does it exist and how does it contribute to the overall organization?)

Steward Health Care, the largest private, for-profit hospital operator in the United States, is a physician-led health care services organization committed to providing the highest quality of care in the communities where patients live. Headquartered in Dallas, Texas, Steward operates 38 community hospitals in the United States and the country of Malta, which regularly receive top awards for quality and safety. The company employs 40,000 health care professionals. The Steward network includes more than 25 urgent care centers, 42 preferred skilled nursing facilities, substantial behavioral health services, over 7,300 beds under management, and 1.5 million full risk covered lives through the company's managed care and health insurance services. The total number of paneled lives within Steward's integrated care network was projected to reach 3 million in 2018.

The Financial Planning and Analysis (FP&A) team provides analysis and reports to help the organization make informed and timely strategic decisions. The FP&A team also connects to and collaborates with all business units across the system supporting both regular and ad-hoc financial, operational and statistical analyses. As a result, members of the team receive significant exposure to the overall business and develop networks and working relationships across the organization.

The Associate Principal, Data Scientist and Visualization Developer will leverage their combined knowledge of database systems and programming languages to drive analytic efforts around innovation. The associate, principal data scientist is expected to play a lead role in a cross-functional team working with engineers, visualization developers and subject-matter experts to improve and extend the analytic methods in our applications.

KEY RESPONSIBILITIES:

(Use bullets for specific responsibilities)

  • Work with Qliksense, SQL, Python, HTML/CSS/JS on a regular basis.
  • Design and implement models from end to end, including data extraction, transformation, feature engineering, analysis, modeling, model deployment, performance tracking and documentation.
  • Extract insights from complex data that may require complex solutions.
  • Effectively communicate technical results across the organization, including non-technical audiences.
  • Provide subject-matter expertise, with regard to software development life cycle best practices, supporting architecture and UI/UX development.
  • An aptitude and will to continuously learn new platforms and technologies.

REQUIRED KNOWLEDGE & SKILLS:

(Examples: Ability to work independently and take initiative; Good judgment and problem solving skills; Communication skills; Interpersonal and organizational skills; Level of confidentiality)

  • Demonstrated experience delivering actionable insights to key stake holders.
  • Must have at least 5 years’ experience with common statistical and machine learning techniques.
  • Minimum of 3 years’ experience creating automated end to end ML/AI solutions.
  • Minimum of 5 years’ working with SQL and data pipelining.
  • Comfort with ambiguity and ability to effectively multi-task, make tradeoffs, take initiative, and prioritize within a fast-paced, demanding environment.
  • Collaborative team-player with strong interpersonal skills and proven ability to cooperate with people at all levels.
  • Familiarity with data table structures and manipulating large data sets.
  • Ability to handle highly confidential information in a professional, mature manner.
  • Health care finance experience a plus, but not required.

EDUCATION/EXPERIENCE/LICENSURE/TECHNICAL/OTHER:

  1. Education: Bachelor’s Degree in Mathematics, Statistics, Engineering, Computer Science, Data Science, Economics, or an equivalent field. Master’s Degree preferred.
  2. Software/Hardware: Strong skills in data visualization software (Qliksense, Tableau, etc.), web development and python. Strong proficiency with Excel (financial modeling & data aggregation, lookups, macros); proficiency in PowerPoint, Word and Outlook.

Application Instructions

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