Senior Data Scientist: DoD Analytics, ML & NLP

Moseley Technical Services, Inc.; Arlington (VA); On-site; USD 175,000 - 215,000; Full time

Benefits offered by this job

100% company-paid medical insurance

Dental and vision insurance

Competitive annual salary 175k-215k

Generous 401(k) contributions

PTO and parental leave

Job summary

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.

Qualifications

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

Responsibilities

• 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.

Skills

Python

PySpark

SQL

Databricks

Palantir Foundry

REST APIs

OAuth 2.0

GitLab CI/CD

NLP

ML/Analytics

Education

Bachelor’s degree in Data Science

Master’s degree in Data Science or related field

PhD in Data Science or related field

Tools

Databricks

Palantir Foundry

Git

Job description

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.