Research 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 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 analytical skills to conduct active surveillance of trends in different civil sector data, assist the clients in their efforts to identify and assess exposure to fraud, waste, and abuse (FWA), and the impact of initiatives aimed at preventing or recovering improper payment.  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 build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership 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. This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.  

You Have: 

  • 6+ years of experience with data modeling, machine learning, data mining, statistics, or graph algorithms in academic or professional environments  
  • Experience using Python, R, SAS, and SQL
  • Experience conducting independent and collaborative research, summarizing your study, and applying your findings to client missions 
  • Experience with identification, assessment, and remediation of FWA and program integrity initiatives for CMS  
  • Experience analyzing health data, including healthcare claims, health records, and provider data
  • Experience with CMS programs  
  • Ability to convey complex ideas clearly and concisely to various audiences 
  • Ability to obtain a security clearance
  • Bachelor's degree

Nice If You Have: 

  • Experience with anomaly detection and fraud modeling techniques  
  • Knowledge of various CMS environments and systems, including One PI, Fraud Prevention System (FPS), Medicare Provider Enrollment, Chain, and Ownership System (PECOS), Integrated Data Repository (IDR), Chronic Conditions Warehouse (CCW), and CMS AWS Enclave
  • Ability to rapidly evaluate scientific research on new and emerging technologies 
  • Possession of excellent client-facing and consulting skills, including verbal and written communication skills 
  • Master's degree preferred, Doctorate degree a plus 

Clearance:

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

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’ll have the chance to: 

  • access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk 
  • Change the world with the Data Science Bowl—the world’s premier data science for social good competition 
  • Participate 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 that directly impact your role? You may be able to 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. 

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $81,800.00 to $186,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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