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hackajob

Data Scientist

Hybrid

Chantilly, United states

Mid level

Full Time

08-02-2026

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Skills

Data Visualization Machine Learning Analytics Data Science Mathematics

Job Specifications

hackajob is collaborating with MANTECH to connect them with exceptional tech professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. You will be providing support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based data science and analytics solutions that align with mission goals and requirements.

Responsibilities Include But Are Not Limited To

Design, develop, and deploy cloud analytics and data science solutions.
Develop models and solutions applied to problem sets in a broad range of data science and data analytics areas, including but not limited to, graph analytics, anomaly detection, geo-spatial analysis, and data visualization.
Contribute data science expertise to solution development through whiteboarding sessions with clients, partners, and coworkers.
Address data science technical challenges in the development of solutions, including algorithms, models, data manipulation, or other technical challenges related to data science and data analytics.
Ensure the quality and performance of analytics solutions through rigorous testing and validation.
Adhere to security and compliance standards, ensuring the protection of sensitive government data.
Contribute to statistical and advanced analytics models using advanced analytic techniques. Create robust and resilient data pipelines to connect data sources to analytic and AI tools and solutions.

Minimum Qualifications

Bachelor’s degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and at least 6 years of experience OR a Master's degree and 4 years of experience. Equivalent experience will be considered in lieu of degree.
Proven experience in Oracle Analytics Cloud or similar analytics platforms.
Experience working across environments and on premise.
Strong experience constructing and performing complex database search queries.
Understanding of security and compliance standards related to handling sensitive Government data.

Preferred Qualifications

Master’s degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field
Advanced certifications in Oracle Analytics Cloud or related technologies.
Experience in developing and implementing machine learning models.

Clearance Requirements

Must possess a current and active TS/SCI with polygraph

Physical Requirements

Must be able to be in a stationary position more than 50% of the time
Must be able to communicate, converse, and exchange information with peers and senior personnel
Constantly operates a computer and other office productivity machinery, such as a computer
The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

About the Company

We’re revolutionising tech hiring with hackajob intelligence - The AI-assisted hiring platform connecting leading tech employers with top talent, globally. Leveraging our unique large language model built from millions of platform data points, companies match with high-intent job seekers based on context and experience, not just keywords. Candidates privately explore highly relevant job offers by accepting or declining their interview requests - 90% respond within 24 hours. Powerful industry benchmarking, brand sentiment, ... Know more