Data Scientist

Booz Allen Hamilton • Chantilly, VA

3d • $77,600 - $176,000

About The Position

As a Data Scientist at Booz Allen, you will analyze structured and unstructured data to help clients address complex challenges across private and public sectors. You will work closely with clients to understand their questions and needs, explore data-rich environments, and use appropriate tools and frameworks to develop algorithms and systems. The role focuses on transforming disparate data into useful information and objective answers that support informed decisions.

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 visualizations 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.
• 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

• Work with clients to understand their questions and data needs.
• Explore, clean, analyze, visualize, and mine data from data-rich environments.
• Develop algorithms and systems that turn disparate data into useful information.
• Develop predictive data models and conduct quantitative analyses.
• Visualize targeted data sources and provide insights into what the data means and how it can be used.
• 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