Data Scientist

Booz Allen Hamilton•Usa, DC

13d•$77,600 - $176,000

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients answer questions and make informed decisions. You will work with clients to understand their needs, explore data-rich environments, develop algorithms and systems, and select appropriate tools and frameworks to turn disparate data into useful information. The work applies data science to challenges across public and private sectors, including areas such as fraud detection, cancer research, and national intelligence. The position requires a TS/SCI clearance. Applicants selected will undergo a security investigation and may need to meet eligibility requirements for access to classified information. The projected annualized compensation range is $77,600 to $176,000 USD. Salary depends on factors including location, education, skills, experience, and organizational and contract requirements. The posting will close within 90 days from its posting date. Booz Allen describes its offerings as including health, life, and disability benefits; financial and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. Eligibility for benefit programs applies to regular full-time and part-time employees working at least 20 hours per week. The posting does not specify whether this position is remote, hybrid, or onsite. Booz Allen notes that employees working virtually are generally expected to have cameras on during meetings, and that remote roles may occasionally require in-person work at a Booz Allen or customer facility.

Requirements

At least 2 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
At least 2 years of experience with statistical and general-purpose programming languages for data analysis.
Experience analyzing structured and unstructured data sources.
Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
Knowledge of machine learning, artificial intelligence, or natural language processing.
Knowledge of text mining or machine learning techniques.
TS/SCI clearance.
Bachelor’s degree.

Nice To Haves

At least 2 years of experience developing algorithms using R, Python, or SQL and NoSQL.
At least 2 years of experience with machine learning, AI, or NLP.
Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflows.
Experience developing web services or web applications using Python and Flask or JavaScript.
Experience using data manipulation and extract, transform, and load (ETL) procedures.
Experience with visualization packages such as Plotly, Seaborn, or ggplot2.
TS/SCI clearance with a polygraph.
Master’s degree in Mathematics, Statistics, Data Science, Computer Science, Data Analytics, or a related technical field.

Responsibilities

Work with clients to understand their questions and needs.
Explore data-rich environments and identify relevant information in complex data sets.
Develop algorithms and systems to transform disparate data into objective answers.
Select and use appropriate tools and frameworks for data analysis.
Provide clients with an understanding of what the data means and how it can support informed decisions.