IT Support Data Scientist, Employee Experience & Productivity, IS&T

What you'll do

• Prepare and validate data from support systems, then build and maintain dashboards and reports.
• Analyze operational trends, anomalies, service quality, and efficiency; communicate findings and recommendations to stakeholders.
• Use AI tools to accelerate analysis, while validating results and maintaining documented, reproducible workflows.

What they ask for

• 3+ years working with IT support data, such as ticketing systems, contact center platforms, or multi-channel interaction data.
• 3+ years of hands-on SQL experience with large, multi-source datasets.
• 3+ years building dashboards and visualizations in Tableau, Looker, or equivalent; 3+ years using Python or R for data analysis.
• Bachelor's degree and 3+ years of relevant experience, or a Master's degree in a quantitative or business discipline with 2+ years of relevant experience.

Nice to have

• Master's degree or PhD in a quantitative or business field.
• Knowledge of support operations, web analytics, version control, statistical modeling, or applying AI to analytics and productivity.

Pay

$144,600 and $218,000 USD base salary

Tools

SQL, Tableau, Looker, Python, R, GitHub

AI focus

Uses AI to summarize patterns, classify data, and accelerate insight generation and analytical work, validating outputs for accuracy and reliability.