Data Scientist

Booz Allen Hamilton • Washington, DC

1d • $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 with clients to understand their needs, explore data-rich environments, and develop algorithms and systems using appropriate tools and frameworks. The work may apply across private and public sectors, helping address challenges 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 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 with a polygraph.
• 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, including Plotly, Seaborn, or ggplot2.
• Master’s degree in Mathematics, Statistics, Data Science, Computer Science, Data Analytics, or a related technical field.

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.
• Develop algorithms and systems to transform disparate data into useful information and support client decisions.
• Work with clients to understand their questions and needs.

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