Data Scientist

Booz Allen Hamilton • Arlington, VA

4d

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership to turn complex structured and unstructured data into useful information that helps solve challenges across public and private sectors. You will work closely with clients to understand their questions and needs, investigate data-rich environments, and identify insights that support informed decisions. You will guide teammates and lead the development of algorithms and systems, selecting tools and frameworks to analyze disparate data and explain what the findings mean and how they can be used.

Requirements

• At least 5 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• At least 3 years of experience providing data science insights to support resource management or workforce decisions.
• At least 3 years of experience with statistical and general-purpose programming languages for data analysis.
• At least 3 years of experience analyzing structured and unstructured data sources.
• Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Experience leading the development of solutions to complex programs.
• Experience with natural language processing, text mining, or machine learning techniques.
• Secret clearance is required; selected applicants will undergo a security investigation and may need to meet eligibility requirements for access to classified information.
• Bachelor's degree.

Nice To Haves

• Experience developing algorithms using R, Python, or SQL/NoSQL.
• Experience with Databricks.
• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Master's degree.

Responsibilities

• Work with clients to understand their questions and needs.
• Explore data-rich environments to identify useful information and insights.
• Guide teammates and lead the development of algorithms and systems.
• Use appropriate tools and frameworks to analyze disparate data and provide objective answers that support client decisions.
• Provide a deep understanding of data, its meaning, and its potential 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 superior demonstration of company values.

What This Job Offers

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