Data Scientist

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 / Application Developer to design and build 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. Key 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 Apply advanced analytics and statistical methods (e.g., regression, clustering, hypothesis testing, A/B testing) 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 Here's what you need: 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, modeling, and statistical analysis Proficiency in Python for analytics and data pipelines (e.g., pandas, polars, PySpark) 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 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 Preferred experience: Active Secret clearance highly desired 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 using 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. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland . The base pay range for this p ... (truncated, view full listing at source)