Data Scientist/Application Developer (Secret cleared)

Accenture Federal Services•Arlington, VA

2d•$100,200 - $203,100

About The Position

At Accenture Federal Services, our purpose is to make the US federal government stronger and safer, and to improve the lives of citizens through technology and ingenuity. We are a technology company within global Accenture, recognized as a Glassdoor Top 100 Best Place to Work. We offer a collaborative and caring community where employees feel a sense of belonging and are empowered to grow through hands-on experience, certifications, and industry training. Join us to drive positive, lasting change that moves missions and the government forward.

Requirements

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

Nice To Haves

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

Responsibilities

Conduct data discovery and exploratory data analysis 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
Apply advanced analytics and statistical methods such as regression, clustering, hypothesis testing, and A/B testing
Develop and embed AI/ML capabilities (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 both technical and non‑technical stakeholders