Advanced Analytics Data Scientist

Booz Allen Hamilton • Usa, VA

2d • $77,500 - $176,000

About The Position

As a data scientist at Booz Allen, you will analyze complex, data-rich environments and help clients turn structured and unstructured data into useful information for decision-making. You will work with clients to understand their questions and needs, explore data, and develop algorithms and systems using appropriate tools and frameworks. The work may address challenges across private and public sectors, including fraud detection, cancer research, and national intelligence. The role applies data science to real-world problems and aims to help clients understand what their data means and how it can be used.

Applicants must have a Top Secret clearance and a bachelor’s degree. The position’s projected annual compensation range is $77,500 to $176,000. The role is full-time; the posting also notes that eligible full-time and part-time employees working at least 20 hours per week on a regular basis may participate in Booz Allen benefit programs. The work model is not specified for this position in the posting.

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, such as 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, clean, analyze, visualize, and mine data in data-rich environments.
• Develop algorithms, systems, and predictive data models using suitable tools and frameworks.
• Apply statistical and machine-learning methods and quantitative analyses to support decisions.
• Analyze structured and unstructured data and provide clients with insight into its meaning and uses.

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