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Data Scientist III

Job in Fort Meade, Anne Arundel County, Maryland, USA
Listing for: Kavaliro
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

We are seeking an experienced Senior AI/ML Data Scientist to design and develop advanced entity resolution and machine learning solutions supporting critical Intelligence Community missions. This role focuses on leveraging artificial intelligence, machine learning, and large-scale data analytics to identify relationships across complex datasets, improve data quality, and automate mission workflows.

The ideal candidate has extensive experience building production-ready machine learning solutions, working with large datasets, developing feature engineering pipelines, and collaborating with software engineering teams to transition prototypes into operational capabilities.

Primary Responsibilities
  • Analyze and characterize structured and unstructured entity data
  • Determine data normalization and standardization requirements
  • Evaluate and implement AI/ML approaches for entity resolution and record linkage
  • Research, evaluate, and select appropriate machine learning models, embedding techniques, and supporting technologies
  • Design, prototype, and validate end-to-end AI/ML solutions
  • Evaluate model performance and recommend improvements using standard machine learning metrics
  • Transition prototype analytics into scalable production solutions
  • Develop data ingest, transformation, and processing pipelines
  • Build feature vectors for machine learning models and analytics
  • Develop descriptive, predictive, and prescriptive analytics using statistical and machine learning techniques
  • Collaborate with subject matter experts (SMEs) to identify valuable information within raw datasets
  • Design and conduct experiments to evaluate algorithms and improve model performance
  • Validate analytics using cross-validation, ROC curves, confusion matrices, and other statistical evaluation techniques
  • Partner with software engineers and cloud developers to deploy production analytics
  • Develop machine learning models supporting mission automation and operational decision-making
  • Lead multiple analytic efforts while mentoring junior data scientists and technical staff
  • Guide analytic development toward scalable solutions capable of processing enterprise-level datasets
  • Research and integrate emerging AI, machine learning, and pattern recognition technologies into mission solutions
Required Qualifications
  • Active TS/SCI with Full Scope Polygraph
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or another quantitative discipline.
  • Additional qualifying experience may substitute for education requirements in accordance with contract guidelines
  • Minimum 10 years of professional experience in at least two of the following
    • Data Mining
    • Advanced Analytics
    • Statistical Analysis
    • Software Engineering supporting data analytics
  • Experience developing software using Python, Java, Golang, or similar programming languages
  • Experience developing machine learning models and statistical algorithms
  • Experience analyzing and processing large datasets
  • Experience designing and evaluating machine learning experiments
  • Experience working with multidisciplinary software development teams
  • Strong analytical, communication, and problem-solving skills.
Preferred Qualifications
  • Experience developing entity resolution or identity resolution solutions
  • Experience working with embedding and encoder models
  • Experience building semantic search or retrieval systems
  • Experience developing and managing vector embeddings
  • Experience using vector databases such as Qdrants
  • Experience deploying AI/ML solutions into production environments
  • Experience with cloud-native machine learning workflows
  • Experience supporting Intelligence Community or Department of Defense programs
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