Data Scientist, Employee Productivity & Support

Weekly Hours : 40

Role Number : 200623036-3121

Summary

Are you passionate about using data to improve the employee experience? Join Apple’s Information Systems and Technology group, the engine powering our global operations. As a Data Scientist on the Employee Productivity & Support (EPS) team, you’ll leverage advanced analytics to enable data-driven decisions that impact how Apple employees do their best work. You’ll uncover insights from support data, ticketing systems, app usage, and operational processes, helping us optimize the IT ecosystem and create a more seamless and productive environment. You’ll build tools that empower employees to independently solve complex problems, focusing on delivering exceptional experiences.

Description

In this role, you’ll own the full analytics lifecycle, collaborating with IT support, product, engineering, and operations teams. You’ll dive deep into support data from various channels (support apps, chat, phone, email, Slack) to understand how employees seek help, identify areas for improvement, and develop key metrics that measure operational efficiency and employee satisfaction.

Minimum Qualifications

Masters degree in a quantitative field (e.g., data science, statistics, applied mathematics, operations research, economics, the natural sciences) or equivalent work experience.

5+ years of experience as a data scientist, data analyst, or machine learning engineer.

4+ years of hands-on experience with Python, SQL, and Tableau.

1+ years experience applying Gen AI and LLMs to real-world data analytics problems.

Preferred Qualifications

Proficiency in version control and collaborative documentation practices using tools like GitHub.

Deep understanding of statistical modeling and causal inference, including experimental and observational analysis, hypothesis testing, and measurement design.

Strong machine learning skills, including regression, classification, clustering, time-series forecasting, NLP, and unsupervised learning.

Advanced data wrangling and preparation skills, with experience extracting, cleaning, joining, and validating data from various sources to develop analysis-ready datasets.

Experience building reproducible pipelines with version-controlled analyses, well-documented methodologies, and reusable workflows.

Excellent written and verbal communication skills, with the ability to present complex information clearly to technical and non-technical audiences.

A strong dedication to documentation, ensuring collaboration and reproducibility.

Experience with IT support analytics, including working with ticketing data, support journeys, and multi-channel interactions (Slack, email, phone, chat).

Expert leadership skills, with the ability to drive projects, mentor team members, and promote data literacy.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant () .