Accenture Federal Services
Posted 70 days agoVerified live 1d ago
Data Scientist/Application Developer (Secret cleared)
Brief overview
Remote
UndergradOr in progress
$100k–$203k/yrStated range
Clearance requiredU.S. government
Data discoveryExploratory data analysisData cleansingData normalizationData aggregationData modelingPalantir FoundryRegression analysisClusteringHypothesis testingA/B testingAI/ML capabilitiesLarge Language Models (LLMs)Natural Language Processing (NLP)Retrieval-Augmented Generation (RAG)GraphRAGData visualization
Job description
Summary
Accenture Federal Services is dedicated to helping the US federal government enhance national strength and safety. They are seeking a Data Scientist/Application Developer to conduct data analysis, build analytic applications, and embed AI/ML capabilities into workflows.
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
Skills
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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