Company Name:-
Booz Allen Hamilton

Job Location:-
Annapolis Junction, MD 20701

Job Summary:-
The Challenge:
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 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.

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.

You Have:Experience with programming in PythonExperience with machine learning, including Bayesian machine learning methodsKnowledge of reinforcement learning algorithms for decision making under uncertaintyKnowledge of mathematics and statistics, including coursework in the theory of probability, statistical inference, algorithms, linear algebra, and calculusAbility to derive a variational inference procedure mathematically for a novel model and implement the inference procedure in a framework, including PyTorch or NumpyAbility to communicate results to both technical and non-technical audiences effectivelyAbility to work independently on complex tasksAbility to obtain a security clearanceBA or BS degree
Nice If You Have:Experience with application areas of machine learning, including computer vision, natural language processing, and learning on graphsExperience

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