Senior Data Scientist

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

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

• Apply natural language processing (NLP), text mining, and otheradvanced analytical techniques to extract meaningful information from complex datasets. \n

• Design, develop,maintain, and optimizescalable data pipelines and workflows using Databricks and Palantir Foundry. \n

• Develop data processing and integration solutions using Python, PySpark, SQL, and Delta Lake. \n

• Integrate data from REST APIs and external systemsusing secure authentication methods, including OAuth 2.0 and certificate-based authentication. \n

• Develop and maintain data models, Ontology objects, and analytical applications within Palantir Foundry. \n

• Create dashboards, reports, and visualizations to communicate analytical findings to technical and nontechnical stakeholders. \n

• Support data storage, access management, and integration within AWS environments, including S3 and IAM. \n

• Apply softwaredevelopment best practices, including version control,code reviews, automated testing, and CI/CD using GitLab. \n

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

• Ensure data quality, integrity, traceability, and compliance with applicable securityand data governance requirements. \n

• U.S. citizen with active Top Secret security clearance and ability to obtain SCI \n

• 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. \n

• 8+ years of professional experience in data science, data engineering, analytics, or a closely related field. \n

• Demonstrated experience developing and maintaining analytical solutions and data pipelines in production environments. \n

• Ability to work an onsite scheduleconsisting of 5 days at the Pentagonin Arlington, Virginia. \n

• Strong proficiency in Python, includingpandas and PySpark, and SQL. \n

• Experience with data exploration, cleansing, analysis, and visualization across structured and unstructured datasets. \n

• Ability to develop quantitative analyses, predictive models, and analytical solutions. \n

• Hands-on experience applying natural languageprocessing, text mining, or machine learning techniques. \n

• Production experience with Databricks, includingnotebooks, jobs, workflows, Delta Lake, and secrets management. \n

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

• Experience integrating data through REST APIs usingOAuth 2.0 or certificate-based authentication. \n

• Working knowledgeof AWS cloud services, particularly S3 and IAM. \n

• Experience with Git-based development and CI/CD practices, preferably usingGitLab. \n, * Master’s degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative field. \n

• Previous experience supporting DoW, Intelligence Community, or other federal government programs. \n

• Experience developing analytical solutions within classified or highly regulated environments. \n

• Advanced statistical modeling techniques, including hypothesis testing, regression, classification, clustering, and model evaluation. \n

• Experience with scikit-learn, PyTorch, Plotly, Seaborn, or similaranalytical and visualization libraries. \n

• Knowledge of large languagemodel (LLM) applications, includingretrieval-augmented generation (RAG), embeddings, prompt design, and model output evaluation. \n

• Experience with Palantir AIP, including AIP Logic, AI agents, and Foundry model integration. \n

• Familiarity with document text extraction and OCR toolssuch as Apache Tika, pdfplumber, and Tesseract. \n

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

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

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

• 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. \n

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

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Benefits & Perks

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Our clientoffers a comprehensive and competitive total rewards package:

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• 100% company-paid medical insurance for employees. \n

• 100% company-paid dental and vision insurance. \n

• Competitive annual salary of 175,000-215,000 \n

• Generous employer 401(k) contributions with no required employee contribution and immediate vesting. \n

• Generous paid time off (PTO) and parental leave. \n

• Flexible work hours. \n

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Senior Data Scientist job in Arlington, Virginia is available with Moseley Technical Services Top DoW company. In this job you will support mission-critical data analytics, modeling, and integration effortswithin the DoW. This position will work with complex structured and unstructured datasets to develop analytical solutions, improve data accessibility, and support informed decision-making.