Senior Data Scientist

Moseley Technical Services, Inc.; Arlington (VA); In loco; USD 175.000 - 215.000; Tempo pieno

Vantaggi offerti da questo lavoro

100% company-paid medical insurance

Dental and vision insurance

Competitive annual salary 175k-215k

Generous 401(k) contributions

PTO and parental leave

Descrizione del lavoro

Moseley Technical Services is seeking a Senior Data Scientist in Arlington, VA to support mission-critical analytics and data integration for the DoD. You will work with complex datasets, build predictive models, and develop scalable pipelines using Python, PySpark, SQL, Databricks, and Palantir Foundry.

Responsibilities include NLP, data governance, and creating dashboards for technical and nontechnical stakeholders in a secure AWS environment.

Competenze

• U.S. citizen with active Top Secret clearance required.
• 8+ years in data science or related field.
• Experience delivering production data pipelines.

Mansioni

• Analyze structured and unstructured data to derive insights.
• Develop predictive models and ML solutions for mission needs.
• Design scalable data pipelines with Databricks and Palantir Foundry.
• Create dashboards and visualizations for stakeholders.
• Integrate data via REST APIs with OAuth 2.0 or certs.
• Collaborate with DoD stakeholders to translate requirements.

Conoscenze

Python

PySpark

SQL

Databricks

Palantir Foundry

REST APIs

OAuth 2.0

GitLab CI/CD

NLP

ML/Analytics

Formazione

Bachelor’s degree in Data Science

Master’s degree in Data Science or related field

PhD in Data Science or related field

Strumenti

Databricks

Palantir Foundry

Git

Descrizione del lavoro

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.

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.