Advanced Analytics Data Scientist

Booz Allen Hamilton • Dahlgren, VA

1d • $77,500 - $176,000

About The Position

As a data scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients answer challenging 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 to challenges across public and private sectors, including areas such as fraud detection, cancer research, 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 with 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

• Work with clients to understand their questions and needs.
• Explore and analyze data-rich environments to identify useful information.
• Develop algorithms and systems to convert disparate data into objective answers.
• Use appropriate tools and frameworks to help clients make informed decisions.
• Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Apply statistical and machine-learning methods and predictive models to support decisions.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level