Advanced Analytics Data Scientist

Booz Allen Hamilton•Dahlgren, VA

23h•$77,500 - $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 suitable tools and frameworks to turn disparate data into useful information. The work applies data science to challenges across public and private sectors, including defense and national intelligence.

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 using statistical and general-purpose programming languages, including Python, for data analysis.
Experience analyzing structured and unstructured data sources.
Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
Experience applying statistical or machine-learning methods, predictive models, and approaches to support decisions.
Knowledge of machine learning, artificial intelligence, or natural language processing.
Knowledge of text mining or machine-learning techniques.
Top Secret clearance.
Bachelor’s degree.

Nice To Haves

At least 2 years of experience developing algorithms using R, Python, SQL, or NoSQL.
At least 2 years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
At least 2 years of experience with machine learning, AI, or NLP.
At least 1 year of experience working with geospatial and spatiotemporal data.
Experience with visualization packages such as Plotly, Seaborn, or ggplot2.
Experience with defense and intelligence data systems and analytical tools.
Experience with software development best practices, including git and Secure DevOps CI/CD pipelines.
Experience with modeling and simulation methods, including discrete-event simulation or agent-based modeling.
TS/SCI clearance.
Master’s degree.

Responsibilities

Explore, clean, analyze, visualize, and mine data.
Analyze structured and unstructured data sources.
Develop predictive data models, quantitative analyses, and visualizations for targeted data sources.
Apply statistical and machine-learning methods, predictive models, and other approaches to support decisions.
Work with clients to understand their questions and needs and translate data into objective answers.
Develop algorithms and systems using appropriate tools and frameworks.