Data Scientist/Application Developer (Secret cleared)
$100,200–$203,100 year
On-siteArlington, Virginia, United States
Job Summary
Conduct data discovery and exploratory data analysis across structured and unstructured data, performing cleansing, normalization, aggregation, and modeling. Design and build analytic applications in Palantir Foundry, including dashboards and interactive workflows, while applying advanced analytics and statistical methods such as regression, clustering, and hypothesis testing. Develop and embed AI/ML capabilities like LLMs, NLP, and RAG into analytic workflows, creating clear visualizations to support executive and operational decision-making. Collaborate in an Agile/Scrum environment to rapidly iterate on solutions and communicate insights effectively to both technical and non-technical stakeholders. Requires US citizenship, active DoD Secret clearance, and proficiency in Python, Palantir Foundry, and AI/ML tools.
Required Qualifications
- US Citizen (No dual citizenship)
- Active DoD Secret clearance required
- Strong experience in data science and analytics, including EDA, data wrangling, modeling, and statistical analysis
- Proficiency in Python and related analytics/pipeline libraries (pandas, polars, PySpark)
- Experience with AI/ML and statistical modeling tools (scikit-learn, statsmodels, Prophet; NLP tools such as spaCy or NLTK)
- Experience building production-grade analytics solutions (apps, dashboards, notebooks)
- Experience with data visualization using Python libraries or BI tools (matplotlib, seaborn, plotly, PowerBI, Tableau, Qlik)
- Comfort working in a dynamic Agile/Scrum environment with evolving requirements
- Strong communication skills for presenting insights to non‐technical audiences
- Background in statistics, mathematics, operations research, or applied sciences
- Experience with Palantir Foundry, Databricks, or similar data platforms
- Work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
Desired Qualifications
- Hands-on experience with Palantir Foundry (pipelines, transforms, Workshop, Ontologies, AIP)
- Experience building AI-enabled applications using LLMs, NLP, RAG, or GraphRAG
- Experience developing rapid analytic demos with Streamlit
- Familiarity with model deployment and ML/AI serving architectures
- Exposure to TypeScript
- Experience with data platform operations, monitoring, or optimization
- Experience building and maintaining ETL pipelines supporting analytic applications
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