Data Scientist, Senior

Senior Data Scientist roles at Booz Allen Hamilton apply data science methods, including IoT, machine learning, and AI, to convert structured and unstructured information into actionable insights for clients working on global challenges. The position involves leading solution development, mentoring teammates, and advising clients based on evidence.

Key Responsibilities

• Apply leadership skills and data science expertise to create measurable real-world impact.
• Partner with clients to understand their questions and needs, and analyze data-rich environments to identify relevant information components.
• Support teammates and lead the development of algorithms and systems.
• Select appropriate tools and frameworks to transform disparate data into objective answers that inform client decisions.
• Develop a deep understanding of the data, its meaning, and how it can be used to support outcomes.

Required Qualifications

• 10+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 10+ years of experience using statistical and general-purpose programming languages for data analysis.
• 10+ years of experience analyzing structured and unstructured data sources.
• Experience building predictive data models, conducting quantitative analyses, and visualizing targeted data sources.
• Experience leading development of solutions to complex programs.
• Experience with natural language processing, text mining, or machine learning techniques.
• TS/SCI clearance.
• Bachelor’s degree.

Technologies

Work may involve IoT, machine learning, artificial intelligence, natural language processing, text mining, predictive data models, and statistical and general-purpose programming languages including Python, R, and SQL. Common tools and platforms include NoSQL, ETL, API, Jupyter Notebook, Pandas, Numpy, Requests, Web Application Servers, and Search Index.

Nice to Have

• Experience with software integration or testing, including analyzing and implementing test plans and scripts.
• Experience using frequent scripting languages such as Python and R, including packages commonly used in data science applications or advanced analytics.
• Experience applying SQL, NoSQL, API building, ETL pipelines, Web Application Servers, or Search Index.
• Experience using programming languages and tools such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity.

Clearance Information

Applicants selected for this position 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

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program acknowledging employees for exceptional performance and superior demonstration of company values.
• Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible to participate in Booz Allen benefit programs, with thresholds affecting eligibility for select offerings.

Identity Verification and Interview Expectations

• During the hiring process, you will be asked to complete an identity verification process using advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
• You are expected to be on camera during interviews and assessments.
• Booz Allen reserves the right to take your picture to verify identity and prevent fraud.

Candidate AI Usage Policy

• AI is part of daily work at Booz Allen, and the company is committed to responsible and ethical use of AI tools.
• Using artificial intelligence or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

This role is onsite. Work will primarily be performed full-time at a customer facility, with collaboration occurring directly with colleagues and customers as required by the role.

Non-Discrimination Statement

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.