Data Scientist

Booz Allen Hamilton • Usa, DC

8d

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, then develop algorithms and systems using appropriate tools and frameworks to derive objective answers. The work may support challenges across private and public sectors, including 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

• Work with clients to understand their questions and data needs.
• Explore data-rich environments to identify useful information.
• Develop algorithms and systems to analyze disparate data.
• Use appropriate tools and frameworks to provide objective answers that inform client decisions.
• Explain what data means and how it can be used.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

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