The Opportunity:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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, you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve Air Force mission solutions. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop data collection tools, data visualizations and dashboard, algorithms, and scripts to process data or conduct predictive analytics leveraging machine learning or other approaches. You’ll use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Air Force leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in aerospace mission solutions.

Join us. The world can’t wait.

You Have:

• 2+ years of experience with scripting and scientific languages, including Python, R, Julia, C++, Java, with a focus on machine learning and data science applications

• 2+ years of experience with data collection, processing, visualization, analytics, and science approaches, including AWS, Azure, Databricks, or Apache

• 2+ years of experience with tools to manage data and databases, including Microsoft Excel, Access, or SharePoint, MongoDB, Amazon Redshift, or Azure SQL Databases

• Knowledge of statistical measures, including confidence intervals and the significance of error measurements, mathematical modeling techniques, optimization approaches, or machine learning algorithm development

• Top Secret clearance

• Bachelor's degree

Nice If You Have:

• 2+ years of experience applying machine learning techniques and the key parameters that affect their performance

• 2+ years of experience with Big Data programming technologies, including Hadoop Distributed File System (HDFS), Apache Spark, or Apache Flink

• 2+ years of experience working with a wide range of predictive and decision models and tools for developing models

• Experience in natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP

• Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relationships accurately

• 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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.