PhD Data Scientist
Listed on 2026-07-18
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IT/Tech
Data Analyst, Data Scientist, AI Engineer (Applied/Software), Data Engineering
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
The Work:- Analyze & Innovate:
Uncover trends and anomalies, turning raw data into strategic intelligence. - Model & Predict:
Develop and maintain models using machine learning, AI, and statistical techniques. - Code & Transform:
Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. - Visualize & Communicate:
Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks. - Collaborate & Build:
Partner with Data Engineers to define data requirements and support development. - Explore & Experiment:
Research and test new tools to solve challenging problems.
- Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, Lang Chain, RAG, LLM Fine Tuning or PEFT)
- Proficiency in Python (pandas, PySpark) and SQL
- Hands‑on experience with data visualization tools like Power BI, Tableau, or Databricks
- Strong quantitative and analytic abilities to analyze and validate data
- Understanding of analytical model development and data‑driven decision‑making
- Must be a US Citizen
- Experience designing and implementing a custom Generative AI solution
- Utilized PhD training in rigorous research methodologies to analyze and tackle challenging client problems from a distinctive and informed perspective
- Experience working in a cloud environment (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))
- Experience working with federal clients
- Experience in a specific domain like Cybersecurity or Fraud Detection
- Active Clearance
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