Data Scientist/Application Developer (Secret cleared)

<div class="content-intro"><div> <div>&nbsp;</div> <div>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.&nbsp;</div> <div>&nbsp;</div> <div>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.&nbsp;</div> <div>&nbsp;</div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div>&nbsp;</div> </div></div><p><strong>The work:&nbsp;</strong></p> <p>Key Responsibilities:</p> <div> <ul> <li>Conduct data discovery and exploratory data analysis across structured and unstructured data</li> <li>Perform data cleansing, normalization, aggregation, and modeling</li> <li>Design and build analytic applications in Palantir Foundry, including dashboards and interactive workflows</li> <li>Apply advanced analytics and statistical methods such as regression, clustering, hypothesis testing, and A/B testing</li> <li>Develop and embed AI/ML capabilities (LLMs, NLP, RAG/GraphRAG) into analytic workflows</li> <li>Create clear visualizations and metrics to support executive and operational decision‑making</li> <li>Collaborate in an Agile/Scrum environment to rapidly iterate on solutions</li> <li>Communicate insights effectively to both technical and non‑technical stakeholders</li> </ul> <p><strong>Here is what you need:</strong></p> <div> <ul> <li>US Citizen (No dual citizenship)</li> <li>Active DoD Secret clearance required</li> <li>Strong experience in data science and analytics, including EDA, data wrangling, modeling, and statistical analysis</li> <li>Proficiency in Python and related analytics/pipeline libraries (pandas, polars, PySpark)</li> <li>Experience with AI/ML and statistical modeling tools (scikit-learn, statsmodels, Prophet; NLP tools such as spaCy or NLTK)</li> <li>Experience building production-grade analytics solutions (apps, dashboards, notebooks)</li> <li>Experience with data visualization using Python libraries or BI tools (matplotlib, seaborn, plotly, PowerBI, Tableau, Qlik)</li> <li>Comfort working i