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# Senior Data Scientist

- **Company:** Moseley Technical Services, Inc.
- **Location:** Washington, VA, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Data Analysis, Apache HTTP Server, Automation of Tests, Code Review, Computer Engineering, Continuous Integration, Information Engineering, Data Governance, Data Integration, Statistical Hypothesis Testing, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Natural Language Processing, OAuth, Power BI, Microsoft SharePoint, SQL Databases, Systems Integration, Tableau (Software), Text Mining, TypeScript, Unstructured Data, Software Repository, Data Processing, Data Storage Technologies, Pytorch, ReactJS, Retrieval-Augmented Generation, Large Language Models, Palantir Foundry, Prompt Engineering, Model Validation, Change Data Capture, Agentic-AI, Gitlab, Git, Matplotlib, Data Lakes, Pyspark, Scikit Learn, Information Technology, Plotly, Front End Software Development, Restful APIs, Software Version Control, Data Pipelines, Databricks
- **Published:** November 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/fc201df3-8759-4adc-b8ae-23e0f9188242/senior-data-scientist

## About the Role

* U.S. citizen with active Top Secret security clearance and ability to obtain SCI
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 * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a relatedtechnical field. Additional relevant experience may substitute for education where permitted by the applicable contract labor category.
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 * 8+ years of professional experience in data science, data engineering, analytics, or a closely related field.
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 * Demonstrated experience developing and maintaining analytical solutions and data pipelines in production environments.
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 * Ability to work an onsite scheduleconsisting of 5 days at the Pentagonin Arlington, Virginia.
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 * Strong proficiency in Python, includingpandas and PySpark, and SQL.
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 * Experience with data exploration, cleansing, analysis, and visualization across structured and unstructured datasets.
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 * Ability to develop quantitative analyses, predictive models, and analytical solutions.
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 * Hands-on experience applying natural languageprocessing, text mining, or machine learning techniques.
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 * Production experience with Databricks, includingnotebooks, jobs, workflows, Delta Lake, and secrets management.
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 * Production experience with Palantir Foundry, including Code Repositories or Pipeline Builder, Ontology, and Workshop.
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 * Experience integrating data through REST APIs usingOAuth 2.0 or certificate-based authentication.
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 * Working knowledgeof AWS cloud services, particularly S3 and IAM.
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 * Experience with Git-based development and CI/CD practices, preferably usingGitLab.
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 * Previous experience supporting DoW, Intelligence Community, or other federal government programs.
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 * Experience developing analytical solutions within classified or highly regulated environments.
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 * Advanced statistical modeling techniques, including hypothesis testing, regression, classification, clustering, and model evaluation.
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 * Experience with scikit-learn, PyTorch, Plotly, Seaborn, or similaranalytical and visualization libraries.
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 * Knowledge of large languagemodel (LLM) applications, includingretrieval-augmented generation (RAG), embeddings, prompt design, and model output evaluation.
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 * Experience with Palantir AIP, including AIP Logic, AI agents, and Foundry model integration.
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 * Familiarity with document text extraction and OCR toolssuch as Apache Tika, pdfplumber, and Tesseract.
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 * Experience developing dashboards and analytical applications using Foundry, Databricks SQL, Power BI, or Tableau.
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 * Familiarity with Microsoft Graph API, SharePoint Online, or Microsoft 365 in GCC High or DoD environments.
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 * Knowledge of change-data-capture techniques, including incremental APIs, content hashing, and idempotent pipelines.
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 * Experience with front-end development using React, TypeScript, or Ontology SDK applications.

## Description

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 * Collect, explore, clean, transform, and analyze structured and unstructured data to identify trends, patterns, and actionable insights.
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 * Develop, implement, and evaluate statistical analyses, predictive models,and machine learning solutions to support operational and mission requirements.
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 * Apply natural language processing (NLP), text mining, and otheradvanced analytical techniques to extract meaningful information from complex datasets.
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 * Design, develop,maintain, and optimizescalable data pipelines and workflows using Databricks and Palantir Foundry.
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 * Develop data processing and integration solutions using Python, PySpark, SQL, and Delta Lake.
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 * Integrate data from REST APIs and external systemsusing secure authentication methods, including OAuth 2.0 and certificate-based authentication.
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 * Develop and maintain data models, Ontology objects, and analytical applications within Palantir Foundry.
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 * Create dashboards, reports, and visualizations to communicate analytical findings to technical and nontechnical stakeholders.
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 * Support data storage, access management, and integration within AWS environments, including S3 and IAM.
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 * Apply softwaredevelopment best practices, including version control,code reviews, automated testing, and CI/CD using GitLab.
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 * Collaborate with data engineers, software developers, analysts,and government stakeholders to translate mission requirements into technical solutions.
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 * Ensure data quality, integrity, traceability, and compliance with applicable securityand data governance requirements.
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