Engineering Data Scientist, Mid
Less than 5 years experience • Accounting, Finance & Insurance
Job Number: R0029451
Engineering Data Scientist, Mid
Collecting, analyzing, and communicating information isn’t new. Data science has been around for a long time, but not many people know exactly how to use it. You, however, know how to find and analyze all of the important data in an organization. You are able to draw conclusions and communicate them to the right people, in a way that will make their next steps clear. We’re looking for you, a data scientist who knows how to step back and understand the complete picture of an organization’s data and help them to use it effectively.
On our team, you’ll have the opportunity to support the development of new aviation systems and capabilities by working with the military to design the test protocol and test and evaluation models for future warfighting capabilities. You help design experiments, determine what data is needed and where to get it, evaluate models and plan test events by examining current and planned data stores, processes, and formats, to make recommendations on how to better collect, integrate, and use incoming data. As the data science expert, leadership will look to your guidance to help them answer their questions, as well as provide them with conclusions they didn’t know could be derived from their data. You will communicate changes that are needed, such as changes in predictive modeling techniques, additional data sensors, etc, based on the evaluation of current models, past test events, and testing of legacy systems. Join our team and help improve national security by showing the military how powerful their data can be.
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 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.
Don't live near the Lexington Park, Maryland area and interested in relocation? No problem, we have relocation benefits available.
-3 years of experience with engineering or data analytics
-Experience with analytic software packages, including R, Python, and Mathematica
-Experience with Python libraries, including Pandas, Bokeh, Seaborn, or SickitLean
-Experience with machine learning, data science, and accessing data from a wide variety of data stores, including Microsoft Access, Hadoop, and SQL and NoSQL
-Knowledge of applying statistics and probability techniques
-Knowledge of data visualization, statistics, and modeling
-Ability to communicate technical concepts and results to a non-technical client
-Ability to obtain a security clearance
-BS degree in Engineering, Mathematics, or Science
Nice If You Have:
-Experience with time series analysis
-Experience with signal processing
-Experience with the design of experiments
-Ability to interact as part of a project team working with domain experts, mathematicians, data experts, software developers, and clients
-MSdegree in Mathematics, Science, Engineering, or a related field