Mid-level Data Scientist at Booz Allen Hamilton, onsite in a SCIF in Alexandria, VA, concentrating on DoD Cyber Risk Management. The role centers on leading algorithm development, guiding project teams, and delivering actionable data insights to support client decision making.

Responsibilities

Direct team members and oversee the creation of algorithmic solutions and related systems.
Collaborate with clients to clarify questions and needs, then explore data-rich environments to identify relevant information.
Apply appropriate tools and frameworks to synthesize disparate data points into objective answers that inform client decisions.
Provide deep data understanding, explain its meaning, and outline practical uses.
Prepare and maintain documentation enabling future analytics, including data sharing agreements, appointment letters, and data memorandums.
Develop clear use cases that reflect the operational needs of the client.

Requirements

Six or more years of hands-on experience with Python, PySpark, SQL, and Databricks.
At least four years in data engineering and analytics, delivering actionable insights and measurable performance metrics.
Experience designing and maintaining automated ETL pipelines that use API integrations to ingest, transform, and distribute data across systems.
Experience extracting and structuring information from unstructured sources such as reports and documents into clean, analysis-ready data.
Experience mentoring junior analysts.
Ability to convey complex technical concepts clearly to both technical teams and executive stakeholders.
Ability to travel up to 25 percent of the time.
TS/SCI clearance.
Bachelor’s degree.

Technologies

Python
PySpark
SQL
Databricks
Advana
Qlik
Maven

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Nice to Have

Experience using DoD data platforms such as Advana, Qlik, and Maven for data integration, ingestion, and visualization
Experience documenting data analytics processes and maintaining reproducible analytic methods
Experience engaging data owners to establish sharing agreements that enable data pipelines
Experience applying machine learning or natural language processing to operational or intelligence data
Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners
Experience developing data governance frameworks and standards
Knowledge of cybersecurity data and 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

Salary at Booz Allen is determined by factors including location, the individual’s education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000 to $225,000 USD annually. The posted range represents typical compensation for this role and is one component of Booz Allen’s total compensation package. This posting will close within 90 days from the Posting Date.

Identity Verification

As part of the hiring process, Booz Allen will conduct an identity verification process that uses advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. Interviews and assessments may require you to be on camera, and Booz Allen reserves the right to capture a photo for identity verification.

Candidate AI Usage Policy

AI is integrated into Booz Allen's daily operations, and the firm supports responsible AI use. For candidate assessments, the use of AI or other tools to prepare responses during interviews is prohibited unless explicit permission is granted.

Work Model

Onsite: Work will primarily occur at a Booz Allen facility or customer site, with collaboration with colleagues and clients as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.

Data Scientist, Mid

Job Description