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Texas Health Resources DATA SCIENTIST LEAD in Arlington, Texas

Texas Health Resources seeks to hire a DATA SCIENTIST LEAD to work Full Time in the Data Integration Department.

The address is 612 East Lamar Blvd., Arlington, TX 76011.

Salary range

Min. $53.48/hr to Max. $85.73/hr – based on relevant experience

Work Schedule

  • Full Time; 1 st Shift-Flexible Schedule (1-2 days a week you will have the option to work from home).

Job Description:

The Data Scientist Lead role will be a self-motivated individual, who can inspire others by telling stories with data. The individual will lead and manage other analyst on projects. They will help educate the business on data analysis and drive business decisions through their team's analytic work. Regularly exercising independent judgment and decision making in projects across the entire enterprise of Texas Health Resources. This position manages four people.

Essential Functions:

Leads multiple projects in an analytic role, and overcome roadblock in data to get things done. Works with minimal guidance and can manipulating and join data from multiple sources into population set for comparative analysis. To be accomplished using a SQL, or No-SQL tool approach. Partners with senior leadership across the organization to assess need and define business questions. Leads analytic meetings to translate business questions/problems into analytical questions and deliver analytic insights back to the business. Ability to communicate complex methodologies of analytics to a non-technical user. Works with multi-disciplinary or cross functional teams to plan and build efficient scalable models that can be automated for large scale data analyses, development, validation, and implementation. Ability to communicate this plan Deliver actionable insights with data to propose operational or process changes. Identify key driver of desired outcomes both known and unknown at the start of the analysis. Explaining the analysis to key stakeholders. Program or project analysis using statistical techniques to prove or disprove efficacy of the projects, tying in sources from the EMR, Supply Chain, Finance, Patient Experience, and third-party sources. Presentations to upper leadership on findings through graphical displays, and ability to tell the story through data and examples. Write statistical methodology and results for technical reports and publication. Submit for publication insights discovered at THR. Effectively manage diverse assignment with shifting priorities and tight timeframes. Mentor analytic team members to grow their skills and ability. This might include creating training classes on analytic concepts, or leading a monthly journal article review.

Qualifications

Qualifications:

The ideal candidate will possess the following qualifications

  • Bachelor's Degree Statistics, Engineering, Epidemiology, Health Service Research, Operation Research, Economic, Statistics or equivalent area. Required AND

  • Master's Degree Statistics, Engineering, Epidemiology, Health Service Research, Operation Research, Economic, Statistics or equivalent area. Required

  • Ph.D. Statistics, Engineering, Epidemiology, Health Service Research, Operation Research, Economic, Statistics or equivalent area. Preferred

  • 7 Years with a Master's degree: 7 years experience working with inferential statistics and/or machine learning required. Experience working in healthcare or related field preferred.

  • 5 Years with a PhD: 5 years experience working with inferential statistics and/or machine learning required. Experience working in healthcare or related field preferred.

Skills:

  • Excellent skills using SPSS, R, SAS or python.

  • Excellent skills using Tableau, Power BI, Cognos, or equivalent visualization software.

  • Excellent skills using SQL to query, join tables, and create tables.

  • Excellent skills doing data discovery in an EDW or data lake environment.

  • Able to take on multiple projects concurrently and manage changes in scope along the way.

  • Proven track record of building intuitive statistical model that provide actionable insight to business users

  • Ability to manage train others, set timelines, and hold accountability.

Why Texas Health Resources?

Texas Health Resources is one of the largest faith-based, nonprofit health care delivery systems in the United States and the largest in North Texas in terms of patients served.

Texas Health has 25 acute-care and short-stay hospitals that are owned, operated, joint-ventured or affiliated with the system. It has more than 3,800 licensed beds, more than 21,100 employees of fully-owned/operated facilities plus 1,400 employees of consolidated joint ventures and counts more than 5,500 physicians with active staff privileges at its hospitals.

At Texas Health, we strive to create an atmosphere of respect, integrity, compassion and excellence for all who come in contact with us, be they patients or our employees. We are committed to diversity in our workforce, and our mission to serve spreads

Employment opportunities are only reflective of wholly owned Texas Health Resources entities.

We are an Equal Opportunity Employer and do not discriminate against any employees or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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