ML Data Science Manager, ISE Analytics and User Studies

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$198,300–$342,800 / yr
Posted
29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $271k
$121k most similar roles pay here $367k

This role pays more than 90% of similar roles. Most pay $144,862–$231,875 — the shaded band above. At the midpoint, this role pays about $271k versus about $188k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · ML Data Science Manager, ISE Analytics and User Studies

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Join the ISE Data Science team as an ML Data Science Manager and lead a talented group of data scientists to analyze vast amounts of quantitative and qualitative data from Apple’s products, including iPhone, iPad, and Mac. Your role involves synthesizing complex data into actionable insights for product strategy and user experience improvements, collaborating closely with engineering and user studies teams. You will develop robust monitoring systems, optimize data pipelines, and communicate compelling data-driven narratives to key stakeholders. Ideal candidates have 2+ years of management experience in analytics and experimentation, proficiency in Python, SQL, and Tableau, and the ability to mentor team members while fostering a data-informed culture across Apple’s global scale.

Skills

Python SQL Tableau CI/CD AWS Kubernetes Docker PostgreSQL Snowflake Airflow Prometheus Grafana GitLab Jupyter TensorFlow PyTorch Scikit-learn Pandas Numpy

What you'll do

  • Lead a team of data scientists to translate quantitative and qualitative data into actionable insights.
  • Develop and implement monitoring systems to ensure performance of data pipelines and machine learning models.
  • Communicate complex data analysis and insights effectively to key stakeholders across the company.
  • Mentor data scientists on technical best practices and professional development within Apple.
  • Align data and analytics initiatives with strategic objectives through cross-functional partnerships.

What we're looking for

  • 2+ years experience managing teams of data scientists and engineers
  • Proficient in Python, SQL, Tableau for statistical analysis and A/B testing
  • Ability to translate complex data into actionable insights for executive leadership
  • Experience leading development of monitoring systems for data performance at scale
  • Advanced degree in data science or a related field preferred

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