Senior Data Scientist

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.

Duties & Responsibilities

• 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 otheradvanced analytical techniques to extract meaningful information from complex datasets.
• Design, develop,maintain, and optimizescalable 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 systemsusing 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 softwaredevelopment 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 securityand data governance requirements.

Required Skills &Qualifications

• U.S. citizen with active Top Secret security clearance and ability to obtain SCI
• 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.
• 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.
• Ability to work an onsite scheduleconsisting of 5 days at the Pentagonin Arlington, Virginia.
• Strong proficiency in Python, includingpandas 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 languageprocessing, text mining, or machine learning techniques.
• Production experience with Databricks, includingnotebooks, 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 usingOAuth 2.0 or certificate-based authentication.
• Working knowledgeof AWS cloud services, particularly S3 and IAM.
• Experience with Git-based development and CI/CD practices, preferably usingGitLab.

Preferred Skills &Qualifications

• Master’s degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Previous experience supporting DoW, Intelligence Community, or other federal government programs.
• Experience developing analytical solutions within classified or highly regulated environments.
• Advanced statistical modeling techniques, including hypothesis testing, regression, classification, clustering, and model evaluation.
• Experience with scikit-learn, PyTorch, Plotly, Seaborn, or similaranalytical and visualization libraries.
• Knowledge of large languagemodel (LLM) applications, includingretrieval-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 toolssuch 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.

Benefits & Perks

Our clientoffers a comprehensive and competitive total rewards package:

• 100% company-paid medical insurance for employees.
• 100% company-paid dental and vision insurance.
• Competitive annual salary of 175,000-215,000
• Generous employer 401(k) contributions with no required employee contribution and immediate vesting.
• Generous paid time off (PTO) and parental leave.
• Flexible work hours.