Data Scientist/Application Developer (Secret cleared)

Accenture Federal ServicesArlington, TX

About The Position

At Accenture Federal Services, our mission is to help the US federal government strengthen the nation, enhance safety, and improve lives through technology and ingenuity. We are a community of over 13,000 professionals dedicated to serving clients across defense, national security, public safety, civilian, and military health organizations. As part of the global Accenture network, Accenture Federal Services is recognized as a Glassdoor Top 100 Best Place to Work. We foster a collaborative and supportive environment where employees are empowered to grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive meaningful, lasting change and advance government missions.

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

Benefits

  • Hands-on experience
  • Certifications
  • Industry training
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