Data Scientist, Junior

Booz Allen Hamilton•Washington, DC

1d•$62,000 - $141,000•Onsite

About The Position

Booz Allen is seeking a junior Data Scientist to help turn complex, structured and unstructured data into useful information for client decision-making and real-world challenges. The role involves working with clients to understand their questions and needs, exploring data-rich environments, and using appropriate tools and frameworks to analyze disparate data and produce objective answers. The position may involve developing algorithms and systems, contributing to data science solutions, and explaining what data means and how it can be used. The role is located in Washington, DC, and is not listed as remote. Applicants must be able to obtain a Secret clearance and will be subject to a security investigation and applicable eligibility requirements. The projected annual compensation range is $62,000 to $141,000. Booz Allen describes benefits that include health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The posting also describes an identity verification process and prohibits AI assistance during interviews unless explicitly permitted.

Requirements

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
Experience with statistical and general-purpose programming languages for data analysis.
Knowledge of structured and unstructured data sources.
Ability to obtain a Secret clearance.
Bachelor’s degree.

Nice To Haves

Experience developing algorithms using R, Python, or SQL and NoSQL.
Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.

Responsibilities

Work with clients to understand their questions and needs.
Explore data-rich environments to identify useful information in data.
Use tools and frameworks to turn disparate data points into objective answers that inform client decisions.
Contribute to the development of algorithms and systems.
Identify opportunities to use data science solutions to address client challenges.
Provide an understanding of data, its meaning, and potential uses.