Data Scientist (Foundry Application)
Arlington, TX - USA
Job Summary
The work:
We are seeking a Data Scientist / Full Stack Application Developer to design and build end to end 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
- 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
Heres 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 and modeling
- Proficiency in Python for analytics and data pipelines (e.g. pandas polars PySpark)
- Hands-on experience with Palantir Foundry (pipelines transforms Workshop Quiver Ontologies AIP)
- Proficiency in TypeScript for back-end complex Ontology functions and front-end Workshop application customizations within Foundry
- 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
- Apply advanced analytics and statistical methods (e.g. regression clustering hypothesis testing A/B testing)
- 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 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 data platform operations monitoring or optimization
- Experience building and maintaining ETL pipelines supporting analytic applications.
#LI-DataAI
As required by local law Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states ofCalifornia 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 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 Maryland Massachusetts Minnesota New Jersey New York Washington Vermont the District of Columbia and the city of Cleveland is:
$100200 - $203400 USD
Required Experience:
IC
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