Data Scientist / Full Stack Application Developer

About Accenture Federal Services

At Accenture Federal Services, our mission is clear: to enhance the capabilities of the US federal government to deliver a stronger, safer nation and improve the lives of its people. With over 13,000 dedicated professionals, we leverage technology and creativity to serve clients across defense, national security, public safety, civilian, and military health sectors.

Join our dynamic team at Accenture Federal Services, part of the global Accenture family. Regularly recognized as one of the best places to work, we foster a collaborative and inclusive environment where you can thrive, grow, and advance your career through hands-on experience, certifications, and industry training.

We are looking for a talented Data Scientist / Full Stack Application Developer eager to design and implement cutting-edge AI-enabled applications and perform in-depth data analysis in Palantir Foundry. This role focuses on data science, advanced analytics, visualization, and user-friendly application development.

Key Responsibilities

• Collaborate in a fast-paced Agile environment with engineers and domain experts to transform ambiguous requirements into scalable, intuitive products.
• Conduct data discovery and exploratory analysis (EDA) on structured and unstructured data.
• Execute data cleansing, normalization, aggregation, and modeling.
• Design and build analytic applications in Palantir Foundry, including dashboards and interactive workflows.
• Integrate AI/ML capabilities (e.g., LLMs, NLP, RAG/GraphRAG) into the analytic workflows.
• Create visually compelling metrics to assist in executive and operational decision-making.
• Participate in Agile/Scrum collaborations to rapidly iterate on innovative solutions.
• Effectively communicate insights to both technical and non-technical stakeholders.

What You Need

• Interim Secret Security clearance is required.
• Ability to transition from exploratory analysis to production-ready applications with measurable impacts.
• Strong expertise in data science and analytics, including EDA, data wrangling, and modeling.
• Proficiency in Python for analytics and data pipeline development (e.g., pandas, polars, PySpark).
• Hands-on experience in Palantir Foundry (pipelines, transforms, Workshop, Quiver, Ontologies, AIP).
• Proficiency in TypeScript for backend complex ontology functionalities and frontend Workshop application customizations.
• Experience in constructing production-grade analytics (applications, dashboards, notebooks).
• Expertise in data visualization using Python libraries (matplotlib, seaborn, plotly) and/or BI tools (PowerBI, Tableau, Qlik).
• Comfortable working in a dynamic Agile/Scrum setup with shifting requirements.
• Strong communication skills with a talent for conveying insights to non-technical audiences.
• Background in statistics, mathematics, operations research, or applied sciences.
• Experience with Palantir Foundry, Databricks, or similar data platforms.
• Knowledge in data connection and integration within Foundry.
• Familiarity with architecture and capabilities of Data Connection.
• Ability to set up sources and synchronize ingesting tabular data from external systems into Foundry.
• Ontology design and development experience in Foundry.
• Deliver data engineering context during ontology design and implement pipelines based on application requirements.

Preferred Experience

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

Compensation

The pay range for this role in the following locations is: $100,200-$203,400 USD.

We encourage you to apply and be part of a team committed to making a tangible difference in federal service.