Data Scientist

Booz Allen Hamilton • Chantilly, VA

1d • $77,600 - $176,000 • Onsite

About The Position

As a Data Scientist at Booz Allen, you will analyze complex, structured and unstructured data to help clients answer questions and make informed decisions. You will work closely with clients to understand their needs, explore data-rich environments, and develop algorithms and systems that turn disparate data into useful information. The role applies data science, statistical analysis, machine learning, and artificial intelligence to challenges across public and private sectors.

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

• 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.
• Use natural language processing, text mining, or machine learning techniques to derive useful information from data.
• Work with clients to understand their questions and needs and support informed decision-making.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

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