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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
Experience in software engineering in similar programs and contracts utilizing programming languages such as: C++, Python, or Go Lang
Bachelor's degree in Systems Engineering, Computer Science, Computer Engineer, or a related field
4 years of relevant experience can substitute for a Bachelor's degree
Experience with at least one major agentic AI framework (e.g.: LangGraph, CrewAI, Google ADK, or similar) OR experience with AI coding agents (e.g.: Claude Code, OpenAI Codex, Cursor, or similar) as a core part of your development workflow
Strong foundation in statistics and probability, including regression analysis and hypothesis testing
Hands-on experience with machine learning frameworks such as SageMaker, TensorFlow and Scikit-Learn
Expertise in data wrangling to prepare raw data for analysis
Excellent problem-solving and analytical skills
Familiarity with libraries like NumPy, pandas, and advanced visualization tools
Experience in creating impactful data visualizations and reports for stakeholders
Ability to work independently and in a collaborative team environment