Analyst

What you'll do

• Build machine learning models, generative AI systems, and agent-based solutions to drive business outcomes.
• Design, develop, and deploy artificial intelligence capabilities to automate processes and enhance decision-making.
• Apply data science, statistics, and modeling to solve complex problems and generate actionable insights.
• Develop predictive models and analyze trends to help teams make data-driven decisions.
• Support data governance, risk management, and data standards to ensure security and compliance.
• Implement controls and improve data quality to create safe, scalable, and effective solutions.
• Translate business objectives into testable hypotheses and analytical plans for stakeholders.

What we're looking for

• Pursue a Bachelor’s or Master’s degree in a quantitative or technical discipline.
• Graduate between December 2026 and August 2027.
• Be authorized to work permanently in the United States.
• Demonstrate strong knowledge of machine learning, data science principles, and prompt engineering (preferred).
• Use programming languages such as SQL and Python (preferred).
• Use data and artificial intelligence tools like AWS, CoPilot, Snowflake, DataBricks, and LLMs (preferred).
• Understand data management, governance, pipelines, privacy, and regulatory compliance (preferred).
• Apply quantitative problem-solving skills to design experiments and communicate technical work to stakeholders (preferred).