IT Knowledge & Training Data Scientist, Employee Experience & Productivity

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$144,600–$218,000 / yr
Posted
50 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $181k
$97k most similar roles pay here $233k

This role pays more than 65% of similar roles. Most pay $126,800–$211,525 — the shaded band above. At the midpoint, this role pays about $181k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · IT Knowledge & Training Data Scientist, Employee Experience & Productivity

IT Knowledge & Training Data Scientist, Employee Experience & Productivity, IS&T joins the Employee Productivity & Support Data Science team to improve how the organization trains employees and delivers knowledge resources. This role involves partnering with leadership to translate business challenges into analytical work, focusing on learning and development metrics beyond simple attendance. You will extract, clean, and transform data from training platforms, content management systems, and web analytics to build Tableau dashboards and reports. Day-to-day tasks include writing SQL to model large datasets, performing deep-dive analyses on content performance, and using AI tools to accelerate insight generation. Required technical skills include proficiency in SQL, Python or R, and experience with GitHub for version control. The role solves the problem of interpreting complex data to provide actionable insights regarding employee engagement and training effectiveness.

What you'll do

  • Translate business questions from training leaders into actionable data problems and evidence-based recommendations.
  • Extract, clean, and transform data from multiple learning platforms and content management systems.
  • Build and maintain Tableau dashboards to identify trends and surface anomalies in training performance.
  • Conduct deep-dive analyses on training effectiveness and package findings into audience-ready presentations.
  • Utilize AI tools to accelerate insight generation, data classification, and the speed of analytical work.
  • Develop reproducible analytical workflows using SQL and manage code within GitHub.
  • Monitor data quality across all sources and collaborate with engineering to resolve issues.

What we're looking for

  • Bachelor's degree and 3+ years of experience in data analytics, business intelligence, or a related quantitative field.
  • Master's degree in a quantitative or business discipline with at least 2 years of relevant experience.
  • 3+ years of experience working with learning and development data, including training platforms and learner engagement metrics.
  • 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 tools.
  • 3+ years of experience using Python or R for data manipulation and analysis.
  • 3+ years of experience delivering analytical work in a fast-paced environment with multiple concurrent stakeholders.
  • Experience applying AI to real-world data analytics and general productivity challenges.

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