IT Knowledge & Training Data Scientist, Employee Experience & Productivity, IS&T

Apple•Sunnyvale, CA

About The Position

The difference between data and intelligence is context. This role enriches data with business context to produce insights that enable intelligent decisions. Join Apple's Information Systems and Technology (IS&T) organization, the engine powering Apple. As a member of the Employee Productivity & Support Data Science team, you will use data to improve how Apple trains its employees and delivers knowledge resources. You will pull and prepare data from multiple systems, build dashboards and visualizations, and conduct analyses that help learning and development leaders understand program effectiveness and make informed decisions. This role is about interpreting data, extracting insights, and partnering closely with the business to turn those insights into better decisions.

Requirements

3+ years of experience working with learning and development data, including training platforms, content performance metrics, or learner engagement data.
3+ years of hands-on experience writing SQL to extract, transform, and analyze data from large, multi-source datasets.
3+ years of experience building dashboards and visualizations in Tableau, Looker, or equivalent.
3+ years of experience in Python or R for data manipulation and analysis.
3+ years of experience delivering analytical work in a fast-paced environment with evolving priorities and multiple concurrent stakeholders.
Bachelor's degree and 3+ years of relevant experience in data analytics, business intelligence, data science, or a related quantitative field — or a Master's degree in a quantitative or business discipline with 2+ years of relevant experience.

Nice To Haves

Working knowledge of how data informs content strategy, curriculum design, and self-service enablement.
Working knowledge of clickstream data and web analytics as applied to content performance and user engagement measurement.
Proficiency in version control and collaborative documentation practices using tools like GitHub.
Knowledge of statistical modeling, including hypothesis testing, regression, and foundational causal inference methods.
Track record of applying AI to real-world data analytics and general productivity challenges.
Ability to communicate analytical findings clearly to both technical and non-technical audiences, adapting depth and format to the situation.
Comfort with ambiguity; ability to define the analytical approach when the business question is loosely framed.
Proven ability to build trust with leaders across diverse functional areas.
Master's degree or PhD in a quantitative or business field (e.g., statistics, data science, economics, operations research, applied mathematics, the natural sciences, or an MBA with analytics concentration)

Responsibilities

Support IS&T's Knowledge & Training group by building and maintaining analytical assets like dashboards, reports, and ad-hoc analyses.
Surface how training programs and knowledge resources are performing across the organization.
Draw on expertise in learning and development analytics to understand employee engagement with training content.
Identify areas for program improvement.
Develop metrics to measure effectiveness beyond attendance.
Partner directly with knowledge and training leaders to understand challenges, translate them into analytical work, and deliver clear, accurate, and actionable findings.
Act as a thought partner who understands the business well enough to know what to measure and why it matters.
Write SQL to model data from large datasets.
Build and maintain Tableau dashboards.
Conduct analyses to identify trends and anomalies.
Present findings to stakeholders at various levels.
Use AI tools to accelerate analytical work.