Advanced Analytics Data Scientist

About the Role

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 analytical skills and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Key Responsibilities

• Work with clients to understand their questions and needs.
• Dig into data-rich environments to find information.
• Develop algorithms and systems.
• Use tools and frameworks to turn disparate data points into objective answers.
• Help clients make informed decisions.
• Provide a deep understanding of the data, its meaning, and its usage.

Requirements & Tech Stack

• 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 2+ years of experience with statistical and general-purpose programming languages, including Python, for data analysis.
• Experience analyzing structured and unstructured data sources.
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
• Experience applying statistical or machine-learning methods, predictive models, and approaches to support decisions.
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
• Knowledge of text mining or machine learning techniques.
• Top Secret clearance.
• Bachelor’s degree.

Nice to Have

• 2+ years of experience in the development of algorithms leveraging R, Python, SQL, or NoSQL.
• 2+ years of experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• 2+ years of experience with Machine Learning, AI, or NLP.
• 1+ years of experience working with geospatial and spatiotemporal data.
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
• Experience with defense and intelligence data systems and analytical tools.
• Experience with software development best-practices, including git and Secure DevOps CI/CD pipelines.
• Experience with modeling and simulation methods, including discrete-event simulation or agent-based modeling.
• TS/SCI clearance.
• Master’s degree.

Clearance

• Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
• Top Secret clearance is required.

Compensation

• Projected compensation range: $77,500.00 to $176,000.00 (annualized USD).