Data Scientist

Booz Allen Hamilton • Rome, GA

13d • $77,500 - $176,000

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 that helps clients make informed decisions and address challenges across private and public sectors. You will work closely with clients to understand their questions and needs, analyze data-rich environments, and develop algorithms and systems. You will guide teammates and select suitable tools and frameworks to derive objective answers and explain what data means and how it can be used.

Requirements

• At least 4 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• At least 4 years of experience with statistical and general-purpose programming languages for data analysis.
• At least 4 years of experience analyzing structured and unstructured data sources.
• Experience designing a data pipeline for 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 problems.
• Ability to communicate succinctly at the strategic level while maintaining technical credibility under scrutiny.
• Secret clearance required; applicants are subject to 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, SQL, and NoSQL.
• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
• TS/SCI clearance with a polygraph.

Responsibilities

• Work with clients to understand their questions and needs.
• Explore data-rich environments to find information relevant to client problems.
• Guide teammates and lead the development of algorithms and systems.
• Use appropriate tools and frameworks to turn disparate data into objective answers that support client decisions.
• Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Lead the development of solutions to complex problems.

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