At Accenture Federal Services, the business problem is to help the US federal government make the nation stronger and safer and life better for people by driving positive, lasting change that moves missions and the government forward.
Requirements
- Programming with data analysis software such as R, Python, SAS, or MATLAB
- Experience analyzing datasets and developing analytics
- Familiarity with libraries like NumPy, pandas, and advanced visualization tools
- Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
- Expertise in data wrangling to prepare raw data for analysis
- Strong foundation in statistics and probability, including regression analysis and hypothesis testing
Responsibilities
- Develop and implement data-driven solutions using programming languages such as Python and R
- Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
- Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
- Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
- Collaborate with cross-functional teams to understand business needs and deliver actionable insights
Other
- Bachelor's degree from an accredited college or university in a quantitative discipline
- Must have an active TS/SCI with polygraph level clearance
- Ability to work independently and in a collaborative team environment
- Excellent problem-solving and analytical skills
- 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
