Data Scientist

Booz Allen Hamilton•Washington, DC

12h•$77,600 - $176,000•Onsite

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 closely 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, IoT, machine learning, and artificial intelligence to challenges across private and public sectors. The position is based in Washington, DC, and is listed as not remote. Applicants must hold a TS/SCI clearance. The projected annual compensation range is $77,600 to $176,000. Booz Allen offers a range of benefits and employee programs, subject to eligibility.

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, clean, analyze, visualize, or mine data to find useful information.
Develop algorithms, systems, predictive data models, and quantitative analyses.
Select and use tools and frameworks to transform disparate data into objective answers.
Explain what data means and how clients can use it to make informed decisions.