Job Number: R0071976
Data Scientist, Mid
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 analytical skills to improve USMC Intelligence Systems. You'll work closely with your customer to comprehend their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll use your expertise and the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders 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. You'll work closely with stakeholders and users to comprehend their data-driven questions and needs, while advising on how to leverage analytical approaches to address their information puzzle. You'll advise on all aspects of the data science life cycle from data preparation and cleaning to analysis and modeling, with a focus on addressing specific problems. You'll identify areas in existing processes where analytical techniques, including Artificial Intelligence (AI), can improve workflows or produce actionable insights. Join us as we use data science for good in USMC Intelligence Systems.
Empower change with us.
-5+ years of experience with data science focusing on solving specific problems using data mining and analytic techniques, including data analysis, data visualization, and modeling, such as descriptive, prescriptive, and predictive
-5+ years of experience with the analytical life cycle, including working with stakeholders to define the analytical problem, data preparation and cleaning, and analysis or model training and evaluation
-5+ years of experience with high-level programming languages, including Python, R, MATLAB, or Julia
-3+ years of experience with various data types, mathematics, and statistics
-2+ years of experience with developing and implementing Machine Learning (ML) or Artificial Intelligence (AI) models and workflows
-2+ years of experience with developing models using deep learning frameworks, including TensorFlow, Theano, Caffe, PyTorch, or Keras
-Experience with technical writing
-BA or BS degree in Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, CS, Mathematics, Physics, or Engineering
Nice If You Have:
-Experience with High Performance Computing
-Experience with leveraging Cloud-based and client-owned platforms
-Experience with Machine Learning as a Service (MLaaS) Cloud platforms
-Experience with virtual notebook environments, including Jupyter IPython Notebooks
-Experience with software version control, including Git
-Knowledge of the computational requirements and limitations for achieving modeling efforts at various scales
-Possession of excellent oral communication skills
-MS degree in Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, CS, Mathematics, Physics, EE, or Industrial Engineering
-Certified Analytics Professional (CAP) Certification
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
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.
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