Data Scientist

Booz Allen Hamilton•Arlington, VA

5d•$99,000 - $225,000•Hybrid

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership skills to turn complex, structured and unstructured data into useful information that helps solve challenges across public and private sectors. You will work with clients to understand their questions and needs, explore data-rich environments, and identify insights that support informed decisions. You will guide teammates and lead the development of algorithms, models, and systems, using appropriate tools and frameworks to analyze disparate data and explain its meaning and potential uses. This role is hybrid and based in Arlington, Virginia. A Secret clearance is required. The position offers an annualized projected compensation range of $99,000 to $225,000. Booz Allen describes benefits including health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. Eligibility for benefit programs depends on employee work hours.

Requirements

At least 5 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
At least 3 years of experience providing data science insights to support resource management or workforce decisions.
At least 3 years of experience with statistical and general-purpose programming languages for data analysis.
At least 3 years of experience analyzing structured and unstructured data sources.
Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
Experience leading the development of solutions to complex programs.
Experience with natural language processing, text mining, or machine learning techniques.
Secret clearance is required; applicants are subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Bachelor's degree.

Nice To Haves

Experience developing algorithms using R, Python, or SQL/NoSQL.
Experience with Databricks.
Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
Master's degree.

Responsibilities

Work with clients to understand their questions and needs.
Explore data-rich environments to identify useful insights and connect information.
Guide teammates and lead the development of algorithms and systems.
Apply tools and frameworks to analyze disparate data and provide objective answers that support client decision-making.
Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
Provide data science insights to support resource management or workforce decisions.
Lead the development of solutions to complex programs.