Data Scientist

· Collect, explore, clean, transform, and analyze structured and unstructured data to identify trends, patterns, and actionable insights.

· Develop, implement, and evaluate statistical analyses, predictive models, and machine learning solutions to support operational and mission requirements.

· Apply natural language processing (NLP), text mining, and other advanced analytical techniques to extract meaningful information from complex datasets.

· Design, develop, maintain, and optimize scalable data pipelines and workflows using Databricks and Palantir Foundry.

· Develop data processing and integration solutions using Python, PySpark, SQL, and Delta Lake.

· Integrate data from REST APIs and external systems using secure authentication methods, including OAuth 2.0 and certificate-based authentication.

· Develop and maintain data models, Ontology objects, and analytical applications within Palantir Foundry.

· Create dashboards, reports, and visualizations to communicate analytical findings to technical and nontechnical stakeholders.

· Support data storage, access management, and integration within AWS environments, including S3 and IAM.

· Apply software development best practices, including version control, code reviews, automated testing, and CI/CD using GitLab.

· Collaborate with data engineers, software developers, analysts, and government stakeholders to translate mission requirements into technical solutions.

· Ensure data quality, integrity, traceability, and compliance with applicable security and data governance requirements.

· Develop and maintain technical documentation for data pipelines, analytical models, processes, and solutions.

· Identify opportunities to improve data processing efficiency, automate workflows, and enhance existing analytical capabilities.

The ideal candidate will have a strong background in data science, machine learning, and data engineering, with hands-on experience using Databricks and Palantir Foundry. This role requires strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a secure, mission-focused environment., Required

· Strong proficiency in Python, including pandas and PySpark, and SQL.

· Experience with data exploration, cleansing, analysis, and visualization across structured and unstructured datasets.

· Ability to develop quantitative analyses, predictive models, and analytical solutions.

· Hands-on experience applying natural language processing, text mining, or machine learning techniques.

· Production experience with Databricks, including notebooks, jobs, workflows, Delta Lake, and secrets management.

· Production experience with Palantir Foundry, including Code Repositories or Pipeline Builder, Ontology, and Workshop.

· Experience integrating data through REST APIs using OAuth 2.0 or certificate-based authentication.

· Working knowledge of AWS cloud services, particularly S3 and IAM.

· Experience with Git-based development and CI/CD practices, preferably using GitLab.

· Strong analytical, troubleshooting, and problem-solving skills.

· Ability to communicate complex technical information clearly and collaborate with cross-functional teams.

· Strong organizational skills and attention to detail, particularly when working with sensitive or classified data.

Preferred

· Advanced statistical modeling techniques, including hypothesis testing, regression, classification, clustering, and model evaluation.

· Experience with scikit-learn, PyTorch, Plotly, Seaborn, or similar analytical and visualization libraries.

· Knowledge of large language model (LLM) applications, including retrieval-augmented generation (RAG), embeddings, prompt design, and model output evaluation.

· Experience with Palantir AIP, including AIP Logic, AI agents, and Foundry model integration.

· Familiarity with document text extraction and OCR tools such as Apache Tika, pdfplumber, and Tesseract.

· Experience developing dashboards and analytical applications using Foundry, Databricks SQL, Power BI, or Tableau.

· Familiarity with Microsoft Graph API, SharePoint Online, or Microsoft 365 in GCC High or DoD environments.

· Knowledge of change-data-capture techniques, including incremental APIs, content hashing, and idempotent pipelines.

· Experience with front-end development using React, TypeScript, or Ontology SDK applications.

· Familiarity with DoD enterprise data platforms, including Advana or Maven Smart System, or AWS GovCloud.

· Knowledge of data governance in classified environments, including classification markings, data lineage, and cross-domain transfer processes.

Education & Experience

Required

· Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a related technical field. Additional relevant experience may substitute for education where permitted by the applicable contract labor category.

· Minimum of eight (8) years of professional experience in data science, data engineering, analytics, or a closely related field.

· Demonstrated experience developing and maintaining analytical solutions and data pipelines in production environments.

· Active Top Secret security clearance with eligibility for Sensitive Compartmented Information (SCI) access.

· U.S. citizenship required due to government security clearance requirements.

· Ability to work onsite at the Pentagon in Arlington, Virginia.

Preferred

· Master’s degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.

· Previous experience supporting Department of Defense, Intelligence Community, or other federal government programs.

· Experience developing analytical solutions within classified or highly regulated environments.

Physical Requirements

· Ability to work onsite at the Pentagon in Arlington, Virginia, in a secure office environment.

· Ability to remain in a stationary position for extended periods while working at a computer.

· Frequent use of computers, keyboards, and other standard office equipment.

· Ability to communicate effectively with colleagues, customers, and stakeholders in person and through electronic communication.

· Ability to move throughout office facilities and attend meetings as required.

· Ability to occasionally move or transport office equipment and materials weighing up to 15 pounds, with or without reasonable accommodation.

· Ability to perform the essential functions of the position with or without reasonable accommodation.

As an Employee First company, we offer a comprehensive and competitive total rewards package:

· 100% Company-paid medical insurance for employees

· 100% Company-paid dental and vision insurance

· Competitive salary

· Generous 401k employer contribution to your 401k with no required personal contribution with immediate vesting

· Generous PTO and parental leave

· Flexible work hours

This role requires use of technical data subject to U.S. Government contract restrictions; therefore, this posting is only for U.S. Citizens.