Health Data Scientist Lead in San Antonio, TX at Booz Allen Hamilton Inc.

Date Posted: 5/31/2018

Job Snapshot

Job Description

Job Number: R0029917

Health Data Scientist Lead

The Challenge:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.


We have an opportunity for you to use your leadership and analytical skills to improve the Military Health System (MHS). You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop clinically-driven descriptive, diagnostic, and predictive data models, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior executive health care management officials make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. As a technical leader, you’ll identify new opportunities to use data science solutions to help your customers meet their toughest challenges.  Join us as we use data science for good in MHS.


Empower change with us.


Build Your Career:


At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:

  • access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
  • a chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition
  • participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government


You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.


You Have:

-5+ years of experience with using advanced Microsoft Office application techniques, including Excel, Access, PowerPoint, and Word to design, analyze, and develop technical reports and presentations

-Experience with using analytical tools, including Python, SAS, SQL, or R to perform complex analyses and make data-driven recommendations

-Ability to obtain a security clearance

-MA or MS degree in Public Health, Health Services Research, Epidemiology, Mathematics, Biostatistics, Statistics, or Informatics or 5+ years of experience with clinical, medical, or health data


Nice If You Have:

-Experience in a military medical role as either active duty or as a civil service employee preferred

-Experience with MHS or AFMS personnel data, financial execution data, medical workload data, customer satisfaction survey results data, or HEDIS or clinical outcomes data reporting a plus

-Knowledge of MHS or AFMS business or financial processes a plus

​​-Secret clearance


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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