Analytics Fellow Job at Booz Allen Hamilton
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 datasets, 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 to both technical and non-technical audiences. You’ll work with senior researchers to evaluate results and methodology, present to clients, and solve complex problems. 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 programming in Python and C
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 or Numpy
Ability to communicate results to both technical and non-technical audiences effectively
Ability to work independently on complex tasks
Ability to obtain a security clearance
HS diploma or GED
Nice If You Have:
Experience with application areas of machine learning, including computer vision, natural language processing, and learning on graphs
Experience with Bayesian deep learning and Gaussian processes
Experience with building complex data pipelines
Experience with using GPUs for machine learning using frameworks, including PyTorch or TensorFlow
Knowledge of cloud systems, including AWS, Azure, or GCP
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)
Build Your Career:
Consulting at Booz Allen means empowering you to provide your customers with the best support. With a consulting career at Booz Allen, you’ll have access to:
a large business consulting community
experts in virtually every field
a culture that focuses on supporting our employees
We have opportunities that provide stability while offering variety, so you can find the right fit for your career — and your life. You’ll also have access to a wealth of training resources through our Consulting University, an online learning portal where you can access more than 5000 functional and technical, certifications, and books. Build your skills through hands-on training on the latest tools and 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 courses, 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. With contracts across the globe in multiple industries, no matter where you want to go with your consulting career, we have the path the takes you there.
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.
CMDPlease Note :
clarksqn.com is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, clarksqn.com provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, Site.com is the ideal place to find your next job.