Tech Stack

Description

You will develop and implement data-driven solutions using Python and R, conduct statistical analyses, and design machine learning models with TensorFlow and Scikit-Learn. You'll collaborate with cross-functional teams to deliver actionable insights for federal government clients.

Requirements

• Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
• 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
• A PhD from an accredited college or university in a quantitative discipline can be substituted for four 4 years of experience
• 14 years of experience in software engineering in similar programs and contracts
• 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB

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