AI/ML Data Scientist

Job Title: AI/ML Data Scientist

Location: Arlington, Virginia, United States

Type: Full Time

Our Client is a leading data-driven organization focused on leveraging advanced analytics, AI, and machine learning to transform complex data into actionable insights. They are looking for a talented AI/ML Data Scientist to design and deliver innovative solutions across structured and unstructured data environments.

Key Responsibilities

• Partner with stakeholders to translate business requirements into scalable AI and analytics solutions
• Design and develop machine learning models to support search, discovery, and insight generation
• Build and implement NLP, semantic search, and entity resolution solutions for advanced data analysis
• Work with document-based datasets (OCR/ICR outputs, metadata, free text) to extract insights
• Collaborate with data engineering teams to deploy models in modern data platforms (Databricks, AWS, etc.)
• Develop model evaluation frameworks, explainability methods, and performance metrics
• Create dashboards, reporting, and analytics solutions to support decision-making
• Contribute to Agile delivery through sprint planning, experimentation, and iterative development
• Communicate insights clearly to both technical and business stakeholders
• Support solution design, innovation initiatives, and thought leadership in AI/ML

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
• 4+ years of experience in data science, machine learning, or applied analytics
• Strong experience in:
• Natural Language Processing (NLP)
• Semantic search / information retrieval
• Entity resolution / relationship modeling
• Experience working with large-scale structured and unstructured data, including document-based datasets
• Strong programming skills in Python (Pandas, Scikit-learn, PyTorch/TensorFlow) and SQL
• Experience with Databricks / Spark for large-scale data processing
• Familiarity with AWS cloud services
• Experience working with data lake or lakehouse architectures
• Experience deploying models into production (APIs, pipelines, analytics platforms)
• Strong understanding of model evaluation and performance metrics
• Excellent communication and collaboration skills in Agile environments

Nice to Have

• Experience with Palantir Foundry or similar analytics platforms
• Consulting or client-facing experience
• Hands-on work with AI-enabled search and retrieval systems
• Exposure to multimodal data (text, images) and document intelligence use cases
• Experience with MLOps platforms (e.g., SageMaker, Databricks ML)
• Knowledge of Explainable AI (XAI) techniques and model transparency
• Experience building dashboards or reporting tools for business users
• Familiarity with graph analytics, ontology models, or relationship mapping
• Experience working in regulated or government environments