Data Scientist, Junior

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 to help 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 work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can 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.
• Provide a deep understanding of the data and its applications.

Requirements & Tech Stack

• Experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• Experience with statistical and general-purpose programming languages for data analysis.
• Ability to gather requirements from customers.
• Knowledge of structured and unstructured data sources.
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
• Ability to develop predictive data models, quantitative analyses, and visualization of targeted data sources.
• Ability to deploy natural language processing, text mining, or machine learning techniques.
• Ability to obtain a Secret clearance.
• HS diploma or GED.

Nice to Have

• Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL.
• Experience with Palantir Foundry Maven Smart System.
• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
• Experience with War Data Platform (WDP) or Advana.
• Experience with Databricks.
• 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.

Compensation

• Projected compensation range: $62,000.00 to $141,000.00 (annualized USD).

Work Model

• Remote: May require occasional in-person work at a Booz Allen or customer facility.
• Hybrid: Expected to work from a Booz Allen or customer facility.
• Onsite: Work will primarily be performed full-time at a customer facility.