- Location
- Washington, DC · Washington, District of Columbia, United States
- Workplace
- Hybrid
- Department
- 57635812 - AFS Decision Analytics
- Clearance
- Required
- Source
- Greenhouse
Description
Key Responsibilities
- Design and develop user-facing analytic applications and dashboards in Palantir Foundry.
- Translate complex data models and analytics into clear, compelling visualizations.
- Build interactive, data‑driven UIs that embed analytics and metrics into workflows.
- Collaborate with data scientists and engineers to integrate analytics, AI outputs, and ontologies.
- Apply UX/UI best practices to deliver accessible, intuitive, and scalable applications.
- Work within an Agile/Scrum environment to rapidly iterate on solutions.
- Communicate insights effectively to both technical and non‑technical stakeholders.
Required Qualifications
- Experience building data‑driven applications or dashboards.
- Strong data visualization and storytelling skills.
- Experience with BI/visualization tools (PowerBI, Tableau, Qlik, or similar).
- Proficiency in Python.
- Experience with Python visualization libraries (plotly, matplotlib, seaborn).
- Understanding of data analysis and exploratory data analysis (EDA).
- Experience wrangling and aggregating data from multiple data sources.
- Solid grasp of UX/UI best practices for analytic applications.
- Comfort working in a dynamic Agile/Scrum environment with evolving or loosely defined requirements.
- Excellent collaboration and communication skills.
- Experience with Palantir Foundry, Databricks, or similar data platforms.
- Ability to obtain or maintain a Secret Clearance.
Preferred Experience
- Knowledge of TypeScript for front‑end or application‑layer development.
- Experience building rapid analytic demos or apps (e.g., Streamlit).
- Hands‑on experience with Palantir Foundry components (pipelines, transforms, Workshop, Ontologies, AIP), especially Workshop and Ontologies.
- Experience with data platform operations, monitoring, or optimization.
- Experience building and maintaining ETL pipelines supporting analytic applications.
- Familiarity with AI/ML and statistical modeling tools/libraries (e.g., scikit‑learn, statsmodels, Prophet; NLP tools like spaCy or NLTK).
- Proficiency with Python for analytics and data pipelines (pandas, polars, PySpark).
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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.