Full Job Description
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 strategic innovation in the health sector of the federal government. 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 algorithms, write scripts, build predictive analytics, 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 federal health organizations 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. Join us as we use data science for good in the federal government.
Empower change with us.
5+ years of experience with data science, data analytics, or advanced analytics, including in a lead, production, or advisory role
2+ years of experience with creating data infrastructure models and helping to implement them in client systems
Experience with supporting health focused federal agencies, including in a data science, consulting, or advisory role
Experience with frequent scripting language use, including R, Python, Java, or C++
Experience with managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications
Experience with feature selection, model building, and optimization using supervised and unsupervised machine learning techniques to support analytic objectives
Ability to work independently to achieve successful results with minimal guidance
Ability to obtain a security clearance
BA or BS degree
Nice If You Have:
Experience with data analysis for health-related organizations
Ability to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situations
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, onsite boot camps, 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.
We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.