The work: Key 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
Here is what you need:- 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
Preferred experience:- 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
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, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. 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.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$100,200-$203,100 USD
