Data Scientist

Booz Allen Hamilton • Arlington, VA

6d • $99,000 - $225,000

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 for clients across public and private sectors. You will work with clients to understand their questions and needs, analyze data-rich environments, and use appropriate tools and frameworks to support informed decisions.

You will guide teammates and lead the development of algorithms and systems, creating predictive models, analyses, and visualizations that help solve complex challenges. The work may address areas such as resource management and workforce decisions. The role requires a Secret clearance.

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.
• 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 closely with clients to understand their questions and needs.
• Explore and analyze data-rich environments to identify useful information.
• Guide teammates and lead the development of algorithms and systems.
• Use tools and frameworks to turn disparate data into objective findings that inform client decisions.
• Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Provide data science insights supporting resource management or workforce 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