Data Scientist

Booz Allen Hamilton • Chantilly, VA

1d • $77,600 - $176,000

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients solve challenges across public and private sectors. You will work closely with clients to understand their questions and needs, explore data-rich environments, and develop algorithms and systems that transform disparate data into objective, useful answers. The role uses data science, statistical and general-purpose programming, and appropriate tools and frameworks to help clients make informed decisions and understand how data can be used.

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 analyzing structured and unstructured data.
• At least 2 years of experience with statistical and general-purpose programming languages for data analysis.
• Experience wrangling data from disparate databases and APIs for analysis.
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
• Experience leading the development of solutions to complex problems.
• Experience with natural language processing, text mining, or machine learning techniques.
• TS/SCI clearance with a polygraph is required.
• Master’s degree.

Nice To Haves

• Experience developing algorithms using R, Python, or SQL and NoSQL.
• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Experience with machine learning, AI, or NLP.
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2.

Responsibilities

• Explore, clean, analyze, visualize, and mine data.
• Analyze structured and unstructured data.
• Wrangle data from disparate databases and APIs for analysis.
• Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Lead the development of solutions to complex problems.
• Develop algorithms and systems to turn disparate data into useful information for client decision-making.
• Work with clients to understand their questions and needs and explain the meaning and potential uses of data.

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