Data Scientist, Senior

About the position

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait.

Responsibilities

• Use leadership skills and data science expertise to create real-world impact.
• Work closely with clients to understand their questions and needs.
• Analyze data-rich environments to find pieces of information.
• Guide teammates and lead the development of algorithms and systems.
• Use tools and frameworks to turn disparate data points into objective answers.

Requirements

• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 5+ years of experience with statistical and general-purpose programming languages for data analysis.
• 5+ years of experience analyzing structured and unstructured data sources.
• Experience developing predictive data models, quantitative analyses and visualization 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 in the development of algorithms leveraging R, Python, or SQL and NoSQL.
• Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
• TS/SCI clearance.

Benefits

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