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About the Role
ABS Group is seeking a Data Scientist to support a federal modernization program by applying machine learning, statistical analysis, and modern AI techniques to large, complex datasets for mission-critical planning and operations. You will collaborate with data scientists, engineers, and stakeholders to build analytical solutions that improve data quality, support decision-making, and transition advanced analytics from prototype to operational use.
Responsibilities
- Analyze large and complex datasets using statistical methods, machine learning, and AI techniques
- Build, test, and maintain predictive models and analytical workflows
- Apply methods such as machine learning, deep learning, NLP, generative AI, large language models, and time series analysis to mission-focused data problems
- Support feature engineering, data preparation, model evaluation, and reproducible analytical development
- Help transition analytics and machine learning capabilities from pilot efforts into production environments
- Contribute to synthetic data development and other advanced analytical methods where appropriate
- Partner with engineers and stakeholders to translate business needs into practical analytical solutions
- Prepare technical documentation, reports, presentations, and other project deliverables
- Support responsible AI practices, including explainability, trustworthiness, and AI risk management
Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field; Master's degree preferred
- Relevant professional experience applying data science, machine learning, or advanced analytics; depth and scope of experience required will vary based on the level at which this position is filled
- Experience working with large, real-world datasets across the full analytical lifecycle preferred
- Experience supporting production or operational deployment of analytical or machine learning solutions a plus
- Experience in a federal, public sector, or regulated data environment (Nice to Have)
- Familiarity with survey, demographic, statistical, or population-scale data (Nice to Have)
- Exposure to record linkage, entity resolution, or matching models (Nice to Have)
- Experience with synthetic data, differential privacy, or responsible AI practices (Nice to Have)
Skills
- Proficiency in Python
- Working knowledge of SQL
- Experience with machine learning
- Experience with predictive modeling
- Experience with model evaluation
- Experience with feature engineering
- Familiarity with NLP
- Familiarity with GenAI
- Familiarity with LLM methods
- Familiarity with deep learning
- Familiarity with neural networks
- Familiarity with anomaly detection
- Familiarity with time series methods
- Strong communication skills
- Ability to develop reproducible analytical workflows
- Ability to create clear technical documentation
Location
- Washington, D.C. metro area
- Suitland, Maryland
Work Type
- Remote or hybrid arrangements may be available for eligible work, subject to government approval
Experience Level
- Junior (0 to 4 years)
- Mid-Level (5 to 9 years)
- Senior (10 to 14 years)
- Principal (15 or more years)
Education Level
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field
- Master's degree preferred
About the Company
- ABS Group is seeking a Data Scientist to join our Artificial Intelligence Practice in support of a major federal modernization program.