Job Location: Annapolis Junction, MD
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by 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.
You’ll design and implement machine learning solutions for complex tasks on large data sets, including extracting insights from multiple disparate data sources and types, such as cyber, language, and vision. You’ll perform research in machine learning, including adversarial machine learning, algorithmic fairness, and model interpretability. You’ll write journal articles, present at academic conferences, and produce whitepapers and briefings for both technical and non-technical audiences. You’ll serve as the client interface and maintain responsibility across the entire life cycle, including requirements gathering and analysis, process and systems definition, data analysis, presentation of analysis to clients in a format they can digest, and development of algorithm-driven products and solutions. This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.
You Have:
- Experience with applying machine learning professionally
- Experience with programming in Python
- Experience with machine learning, including Bayesian machine learning methods
- Knowledge of mathematics and statistics, including coursework in the theory of probability, statistical inference, algorithms, linear algebra, and calculus
- Ability to derive a variational inference procedure mathematically for a novel model and implement the inference procedure in a framework, including PyTorch and Numpy
- Ability to obtain a security clearance
- Bachelor’s degree in Mathematics or Computer Science
Nice If You Have:
- Experience with application areas of machine learning, including computer vision, natural language processing, and learning on graphs
- Experience with Gaussian processes
- Experience with building complex data pipelines
- Experience with using GPUs for machine learning using frameworks, including TensorFlow
- Knowledge of cloud systems, including AWS, Azure, or GCP
- Ability to communicate results to both technical and non-technical audiences effectively
- Ability to work independently on complex tasks
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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.
Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.
Colorado: $72,500 – $149,500 (annualized USD)
New York (including New York City): $76,500 – $179,400 (annualized USD)
Create 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.
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.
CMD
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