Accenture Federal Services

federal government

DataScientist/ApplicationDeveloper

$100–203k Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States Remote Friendly
The Brief

“Data Scientist / Application Developer at Accenture Federal Services. Skills: Data Science, AI/ML, Palantir Foundry, Python, Advanced Analytics. design and build AI-enabled applications. perform analyses in Palantir Foundry that drive operational decision-making”

What You'll Achieve.

drive operational decision-making; deliver measurable mission impact; support executive and operational decision-making

Industry & Context.

federal government
Problems you'll solve

translate ambiguous or evolving requirements into intuitive, scalable products; perform analyses; apply advanced analytics and statistical methods; develop and embed AI/ML capabilities; rapidly iterate on solutions

Eligibility Requirements

Interim Secret Security clearance required, Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States

What They're Looking For.

Must Have

Interim Secret Security clearance required, Experience in data science and analytics, including EDA, data wrangling, modeling, and statistical analysis, Proficiency in Python for analytics and data pipelines (e.g., pandas, polars, PySpark), Experience with AI/ML and statistical modeling tools and python libraries (e.g., scikit-learn, statsmodels, NLP tools such as spaCy or NLTK), 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, Background in statistics, mathematics, operations research, or applied sciences

Nice to Have

Active Secret clearance highly desired, 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 using 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

What You'll Do.

design and build AI-enabled applications

perform analyses in Palantir Foundry that drive operational decision-making

Work in a fast-paced Agile environment alongside engineers and domain experts to translate ambiguous or evolving requirements into intuitive

Conduct data discovery and exploratory data analysis (EDA) across structured and unstructured data

Perform data cleansing

Design and build analytic applications in Palantir Foundry

including dashboards and interactive workflows

Apply advanced analytics and statistical methods (e.g.

Develop and embed AI/ML capabilities (e.g.

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

How You'll Work.

Team & Collaboration

Work in a fast-paced Agile environment alongside engineers and domain experts; Collaborate in an Agile/Scrum environment to rapidly iterate on solutions; Communicate insights effectively to technical and non-technical stakeholders

Communication Scope

communicate insights effectively to technical and non-technical stakeholders; communication skills with the ability to explain insights to non-technical audiences

Process & Methodology

Agile, Scrum

Free ATS check

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