AI​/ML Data Scientist Security Clearance

Position: AI/ML Data Scientist with Security Clearance
Job Family :
Data Science Consulting Travel Required :
Up to 25% Clearance Required :
Ability to Obtain Public Trust What You Will Do :
* Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.

* Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.

* Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.

* Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.

* Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.

* Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.

* Support the development of analytics, reporting, and dashboards to drive operational insights and decision-making.

* Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.

* Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.

* Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities What You Will Need :
* A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required

* A minimum of FOUR (4) years of experience in data science, machine learning, or applied analytics roles

* U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.

* Experience developing and applying machine learning models, including:
* Natural Language Processing (NLP)

* Semantic search or information retrieval

* Entity resolution or relationship modeling

* Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).

* Experience leveraging metadata and extracted features to support analytics and modeling.

* Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or Tensor Flow) and solid SQL skills.

* Experience working with Databricks and/or Spark-based environments for scalable data processing.

* Familiarity with AWS cloud services for data access, processing, or model deployment.

* Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.

* Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).

* Understanding of model evaluation, validation, and performance metrics.

* Strong communication skills and ability to translate analytical outputs into actionable insights.

* Experience working in cross-functional, matrixed teams in an Agile environment. What Would Be Nice To Have:
* Experience supporting fraud detection, risk analytics, or investigative use cases, including development of models or analytics to identify anomalous behavior, patterns, or suspicious activity.

* Familiarity with law enforcement, regulatory, or compliance-focused analytics environments, including data used in investigations, intelligence analysis, or case management workflows.

* Experience working with abuse-related datasets or use cases (e.g., financial fraud, identity theft, program integrity, cyber abuse), including applying NLP, entity resolution, or graph analytics to detect and analyze abusive or fraudulent behavior.

* Understanding of investigative analytics techniques, including link analysis, network/graph-based modeling, and relationship mapping to support law enforcement or fraud detection initiatives.

* Experience working with Palantir Foundry and/or Palantir AIP, particularly in support of AI-enabled search or analytics workflows.

* Consulting experience strongly preferred.

* Experience building AI-enabled search solutions, including semantic search, document retrieval, and ranking models.

* Experience with multimodal data processing, including text and image-based analytics.

* Familiarity with OCR/ICR pipelines and document intelligence use cases.

* Experience with enterprise ML platforms (e.g., AWS Sage Maker, Databricks Machine Learning) for model development, deployment, and lifecycle management.

* Experience developing explainable AI (XAI) solutions, including confidence scoring and traceability of results.

* Experience designing analytics dashboards or reporting solutions for end users.

* Previous experience supporting federal clients or working in regulated environments.

* Experience in a consulting firm and/or client-facing delivery role.

* Experience supporting training, user enablement, or scaling analytics capabilities…