Data Scientist (Foundry Application)

Accenture Federal Services•Arlington, VA

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: We are seeking a Data Scientist / Full Stack Application Developer to design and build end to end AI-enabled applications and perform analyses in Palantir Foundry that drive operational decision-making. This role emphasizes data science, advanced analytics, visualization, and user-facing application development.

Requirements

Interim Secret Security clearance required
Ability moving from exploratory analysis to production-grade applications that deliver measurable mission impact
Strong experience in data science and analytics, including EDA, data wrangling, and modeling
Proficiency in Python for analytics and data pipelines (e.g., pandas, polars, PySpark)
Hands-on experience with Palantir Foundry (pipelines, transforms, Workshop, Quiver, Ontologies, AIP)
Proficiency in TypeScript for back-end complex Ontology functions and front-end Workshop application customizations within Foundry
Experience building production-grade analytics (apps, dashboards, notebooks)
Experience with data visualization i.e using Python libraries (matplotlib, seaborn, plotly) and/or BI tools (PowerBI, Tableau, Qlik)
Comfort working in a dynamic Agile/Scrum environment with evolving or loosely defined requirements
Strong communication skills with the ability to explain insights to non-technical audiences
Background in statistics, mathematics, operations research, or applied sciences
Experience with Palantir Foundry, Databricks, or similar data platforms

Nice To Haves

Active Secret clearance highly desired
Apply advanced analytics and statistical methods (e.g., regression, clustering, hypothesis testing, A/B testing)
Experience with AI/ML and statistical modeling tools and python libraries (e.g., scikit-learn, statsmodels, Prophet; NLP tools such as spaCy or NLTK)
Experience building AI-enabled applications using LLMs, NLP, RAG, or GraphRAG Experience developing rapid analytic demos using Streamlit
Familiarity with model deployment and ML/AI serving architectures
Exposure to data platform operations, monitoring, or optimization
Experience building and maintaining ETL pipelines supporting analytic applications.

Responsibilities

Work in a fast-paced Agile environment alongside engineers and domain experts to translate ambiguous or evolving requirements into intuitive, scalable products
Conduct data discovery and exploratory data analysis (EDA) across structured and unstructured data
Perform data cleansing, normalization, aggregation, and modeling
Design and build analytic applications in Palantir Foundry, including dashboards and interactive workflows
Develop and embed AI/ML capabilities (e.g., LLMs, NLP, RAG/GraphRAG) into analytic workflows
Create clear visualizations and metrics to support executive and operational decision-making
Collaborate in an Agile/Scrum environment to rapidly iterate on solutions
Communicate insights effectively to technical and non-technical stakeholders

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