Apply statistical analysis and experimentation to driver customer growth, optimization and data information business decisions
Develop, clean and analyze datasets using tools like SQL, Python or R to generate actionable insights
Partner with cross functional teams to translate business problems into data driven solutions and measurable outcomes
Ensure data quality, integrity, and consistency through data validation, quality monitoring, documentation, and adherence to data governance standards.
Support data governance initiatives including master data management, metadata documentation and enrichment in the Data Catalog, and data classification to enable responsible data access, privacy compliance, and trusted data assets.
Leverage AI and machine learning techniques to enhance predictive insights, automate processes, and responsibly scale data driven decision making

Be legally eligible to work in the U.S.
Recently completed a bachelor's or both bachelor's and master's degree in an information technology (computer science, Electrical engineering, Mathematics and Data science) field
Able to provide a cumulative GPA , as reported by your school. Minimum 3.0 GPA required , 3.5 or higher GPA preferred.
Graduation date on or after November 2025 but no later than June 2026
Planning to seek full-time employment by June 2026
Excellent verbal and written communication
Good problem-solving skills
Willingness to independently learn and make an impact within a team environment
Strong programming skills in at least one of the following: Java, JavaScript, Python
Good understanding of different data structures and algorithms
Preferred but not required : experience with AI, SQL and Git/GitHub/GitLab

Growth Data Science, Data Governance Graduate Development Program

Key skills