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Booz Allen Hamilton · 3 days ago

Data Scientist

Fort Meade, MD

Full-time

Hybrid

Senior Level, Lead/Staff

$99K/yr - $225K/yr

10+ years exp

Booz Allen Hamilton is a company that leverages data to solve global challenges. As a Data Scientist, you will analyze complex data sets to provide insights that inform decision-making for clients in various sectors, utilizing your expertise in data exploration, modeling, and visualization.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle

Guide teammates and lead the development of algorithms and systems

Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions

Provide a deep understanding of the data, what it all means, and how it can be used

Qualification

Data analysisMachine learningStatistical programmingPredictive modelingData visualizationNatural language processingData cleaningData miningCollaborationCommunication skillsDetail-orientedOrganizational skills

Required

10+ years of experience conducting modeling and simulation or decision analysis

10+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

5+ years of experience with statistical and general-purpose programming languages for data analysis

5+ years of experience programming with data analysis software such as Python, R, MATLAB, @RISK, ARENA, or SAS

Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources

Experience leading the development of solutions to complex programs

Experience with natural language processing, text mining, or machine learning techniques

TS/SCI clearance with a polygraph

Bachelor's degree

Preferred

Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL processes, and quantitative workflow automation

Experience working in Windows and Linux OS environments

Ability to work with non-technical audiences on technical problems in a highly collaborative and team-oriented environment, and balance long and short-term taskings

Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined

Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment and compose client deliverable quality documentation, analysis, and reports

Possession of excellent detail-oriented and organizational skills

Possession of excellent verbal and written communication skills

Bachelor's degree in Operations Research, Engineering, Analytics, Data Science, Economics, Applied Mathematics, Statistics, or a related field preferred; Master's degree a plus