Employ Pine
Booz Allen Hamilton
Data Scientist
Location
Baltimore, MD
Job Type
Other
Date Posted
27 November 2025
Company Overview
Booz Allen Hamilton is a consulting and technology firm that applies analytics, machine learning, and data science to solve complex problems across private and public sectors. They emphasize collaboration, innovation, and using data science for real-world impact.
Position Overview
Role: Data Scientist
Job Number: R0224999
Work Model: Flexible (remote, hybrid, or onsite depending on project requirements)
Clearance Requirement: TS/SCI with Polygraph
Application Period: 90 days from posting
Role Summary
The Data Scientist will analyze large-scale, complex datasets to generate insights, develop predictive models, and provide actionable recommendations. You will work with clients to understand their data needs and apply scientific methods, algorithms, and analytical techniques to solve challenging problems.
Key Responsibilities
Analyze structured and unstructured datasets to derive insights
Apply scientific methods to guide qualitative and quantitative analyses
Develop and implement algorithms, predictive models, and simulations
Work closely with clients to understand requirements and provide solutions
Handle data gathering, cleansing, parsing, and integration
Use appropriate tools and frameworks (e.g., R, Python) to analyze and interpret data
Work collaboratively in a fast-paced, analytical environment
Required Qualifications
1+ year of experience in statistics, operations research, or advanced mathematics
Experience with R or Python
Ability to work collaboratively in a fast-paced environment
TS/SCI clearance with Polygraph
High School Diploma or GED (Bachelor's preferred)
Preferred Qualifications
Experience with optimization, modeling, simulation, prediction, estimation, or decision analysis
Experience analyzing large-scale datasets
Experience developing and applying optimization or simulation models
Experience with data gathering, cleansing, and parsing
Ability to work in Windows and Linux OS environments
Bachelor's degree in Operations Research, Applied Mathematics, or Data Science
Compensation & Benefits
Base salary range: $77,600 – $176,000
Benefits include health, life, disability, retirement, paid leave, professional development, tuition assistance, and work-life programs
Full-time and part-time employees (≥20 hours/week) eligible for full benefits
Compensation considers location, experience, skills, and project requirements
Employment Notes
Applicants must participate in camera-based interviews for identity verification
Booz Allen is an Equal Opportunity Employer, committed to non-discrimination and inclusion
Frequently Asked Questions
Baltimore's growing tech ecosystem has increased demand for skilled data scientists, but competition remains moderate compared to larger hubs like DC or NYC. Candidates with strong analytics, machine learning expertise, and local networking advantage often stand out when pursuing data scientist positions here.
In Baltimore, certifications such as Certified Analytics Professional (CAP) and Microsoft Certified: Azure Data Scientist Associate are valued. These credentials demonstrate practical skills aligned with regional employers like Booz Allen Hamilton, enhancing your profile in the competitive data scientist job market.
Mastering Python, R, SQL, and cloud platforms like AWS or Azure is crucial for data scientists across the US. Additionally, experience with advanced machine learning models, data visualization tools, and big data frameworks can significantly boost your qualifications for roles nationwide.
Many junior data scientists transition into specialized roles such as data science researchers, data engineers, or analytics managers. Gaining experience in experimental design, advanced modeling, and cross-functional projects often opens doors to leadership or domain-expert positions.
While Data Science Analysts focus more on interpreting datasets and generating reports, Data Scientists engage heavily in building predictive models and deploying machine learning algorithms. The latter role also involves designing experiments and coding complex data pipelines.
Booz Allen Hamilton emphasizes applying data science to solve government and defense challenges, offering data scientists exposure to cutting-edge projects and interdisciplinary teams. This environment fosters rapid skill development in areas like research data science and analytics innovation.
The company provides structured mentorship, access to advanced training programs, and hands-on project involvement that accelerates learning for junior data scientists. Their focus on collaborative problem-solving ensures emerging talents gain industry-relevant experience quickly.
Data scientists in Baltimore typically earn between $95,000 and $130,000 annually, depending on experience and specialization. Entry-level roles usually start around $90,000, while those with advanced analytics or research skills at firms like Booz Allen Hamilton can command higher compensation.
Washington DC generally has a higher concentration of federal agencies and contractors, increasing demand for data scientists with security clearance or government-focused expertise. Baltimore offers a growing but slightly less saturated market, with opportunities in both public and private sectors.
Building a portfolio with real-world projects, mastering relevant tools like Python and SQL, and engaging in local data science meetups or bootcamps can differentiate junior candidates. Tailoring applications to emphasize problem-solving skills relevant to Baltimore's industries also enhances visibility.
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