Data Science Practitioner
About The Position
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!
Requirements
- US Citizen (No dual citizenship)
- Bachelors degree required
- Strong expertise in Python software engineering.
- Experience with object‑oriented development and structured data pipeline design.
- Proficiency with Spark (or similar tools) for parallel processing.
- Hands‑on experience with Pandas and Numpy for data manipulation.
- Experience optimizing compute‑intensive simulations.
- Familiarity with GitHub workflows and collaborative development practices.
- Ability to implement complex business logic in technical applications.
- Understanding of Python iterators, columnar databases, and parallel computing concepts.
Nice To Haves
- Exposure to supply chain processes, especially within DoD environments.
- Experience building interactive dashboards using Streamlit.
- Background developing robust unit tests for simulation‑heavy systems.
- Familiarity with Monte Carlo and discrete event simulation optimization.
- Experience supporting high‑stakes or mission‑critical analytics platforms.
Responsibilities
- Design, develop, and maintain Python-based software solutions for supply chain analytics applications.
- Optimize compute‑intensive simulations (discrete event and Monte Carlo) for performance and scalability.
- Implement and enhance structured data pipelines using Spark, Pandas, and Numpy.
- Apply object‑oriented programming principles to build robust, maintainable codebases.
- Collaborate with cross‑functional teams to modernize a strategic contracting analytics application.
- Integrate detailed Department of Defense (DoD) business logic to project supply‑chain impacts of acquisition and planning strategies.
- Utilize GitHub workflows for version control, code review, and collaborative development.
- Develop and maintain parallel processing solutions to improve simulation efficiency.
- Build interactive analytics dashboards and tools using Streamlit.
- Write and maintain unit tests to ensure code quality and reliability.
Benefits
- You can find more information on benefits here.
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What This Job Offers
Job Type
Full-time
