Product Data Scientist, Employee Experience & Productivity, IS&T

What you'll do

• Partner with product leaders and program managers to turn business questions into analyses and evidence-based recommendations.
• Prepare and validate data, build Tableau dashboards and reports, and investigate product usage, adoption, trends, and anomalies.
• Use AI to accelerate analysis, validate results, and maintain reproducible, documented workflows.

What they ask for

• 3+ years of product analytics experience, including adoption, engagement, or platform utilization metrics.
• 3+ years of hands-on SQL experience with large, multi-source datasets.
• 3+ years of dashboard and visualization experience using Tableau, Looker, or equivalent; and 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 and 2+ years of relevant experience.

Nice to have

• Master’s degree or PhD in a quantitative or business field.
• Experience with product management processes, clickstream data, A/B testing, feature flagging, GitHub, statistical modeling, or applying AI to analytics.

Pay

$144,600 and $218,000 (base salary)

Tools

SQL, Tableau, Looker, Python, R, GitHub

AI focus

Use AI to accelerate insight generation by summarizing patterns, classifying data, and improving the speed and depth of analytical work; validate AI outputs for accuracy and reliability.