Data Scientist, Mid

Bah; Alexandria (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a data scientist in the Alexandria, VA area to turn complex data into useful information for national security missions. You will lead data-driven analyses, build predictive models, and collaborate with customers to translate questions into actionable insights.

The role requires strong Python/SQL skills, ETL experience, and the ability to communicate results to diverse audiences. TS/SCI clearance is required and a Bachelor's degree is expected.

Qualifications

• 2+ years of data science experience with quantitative analysis and insight generation.
• Python proficiency for data manipulation and analysis.
• SQL expertise for complex database queries.
• Experience with ETL processes and data integration.
• Developing data visualizations, dashboards, or lightweight web apps.
• Ability to communicate findings to varied audiences, orally or in writing.
• TS/SCI clearance and a Bachelor's degree.

Responsibilities

• Write scripts to integrate data, perform exploratory analyses, and identify patterns.
• Apply machine learning to train predictive models and extract actionable insights.
• Present results and provide a deep understanding of data to mission partners.

Skills

Python

SQL

ETL

Data visualization

Communication

TS/SCI clearance

Education

Bachelor's degree

Master's degree in Mathematics/Statistics/CS/Data Analytics

Tools

Apache Spark

Flask

Job description

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 leadership and analytical skills to support an intelligence community (IC) agency's collection and analysis operations. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll write scripts to integrate data, conduct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive models, and use the right combination of tools to turn that set of disparate data points into objective answers to help mission partners 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 support of the IC’s global mission.

Join us. The world can’t wait.

You Have:

• 2+ years of experience in data science, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
• Experience using Python to manipulate and analyze data
• Experience using SQL to conduct complex database queries
• Experience using data manipulation and extract, transform, and load (ETL) procedures
• Experience developing data visualizations, dashboards, or lightweight Web applications to communicate key insights
• Experience communicating information to an audience with varying technical knowledge and expertise in oral or written formats
• TS/SCI clearance
• Bachelor's degree

Nice If You Have:

• Experience using Apache Spark to aggregate and analyze large data sets from various sources
• Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflows
• Experience developing Web services or Web applications using Python and Flask or JavaScript
• Experience working with AI and ML technologies and data systems
• Experience applying supervised and unsupervised machine learning algorithms for clustering, classification, and dimensionality reduction
• Experience working with multiple file types, including geospatial file formats, JSON, and XML
• Experience leveraging APIs to query systems
• Knowledge of commercial Cloud services used by the IC
• Master's degree in Mathematics, Statistics, Computer Science or Data Analytics

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.