Data Scientist, Mid

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 (AI). 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

• Conduct data exploration, data cleaning, data analysis, data visualization, data mining.
• Develop data dashboards, data management tools, or data modeling tools.
• Understand client questions and needs and analyze their data.
• Develop algorithms and systems using appropriate tools and frameworks.

Requirements & Tech Stack

• Secret clearance
• Bachelor’s degree
• Experience with data analysis or data operations
• Knowledge of statistical and general-purpose programming languages for data analysis, including Python, SQL, or R
• Knowledge of predictive data models, quantitative analyses, or visualization of targeted data sources
• Knowledge of text mining or machine learning techniques

Nice to Have

• 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• 2+ years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• 2+ years of experience with machine learning, AI, or NLP
• Experience with Palantir Foundry
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Experience with Business Intelligence (BI) or data visualization tools such as Power BI, Tableau, or Qlik
• TS/SCI clearance
• Bachelor's degree in an Analytical or Engineering field, such as CS, Data Science, Computer Engineering, or Systems Engineering (preferred)
• Master's degree in an Analytical or Engineering field, such as CS, Data Science, Business Analytics, Computer Engineering, or Systems Engineering (a plus)

Compensation

• Projected compensation range: $77,600.00 to $176,000.00 (annualized USD)

Work Model

• Remote, Hybrid, or Onsite (depending on listing and role needs)