Overview
On Site
Full Time
Skills
Innovation
Collaboration
Machine Learning (ML)
Science
CaliberRM
Business Analytics
Performance Tuning
Data Integrity
Accessibility
Management
Decision-making
Strategic Thinking
Computer Science
Mathematics
Data Science
Mentorship
SQL
Python
R
Statistics
Analytics
Apache Spark
Snow Flake Schema
Machine Learning Operations (ML Ops)
Job Details
Imagine what you could do here!The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Apple's Strategic Data Solutions team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You'll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
Description Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains Partner with cross-functional leaders to align analytics initiatives with strategic objectives Evangelize data science best practices and help embed a data-informed culture across teams Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Minimum Qualifications
Preferred Qualifications
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 .
Description Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains Partner with cross-functional leaders to align analytics initiatives with strategic objectives Evangelize data science best practices and help embed a data-informed culture across teams Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Minimum Qualifications
- Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
- 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
- 2+ years of experience leading and mentoring data-focused teams
- Proficiency in SQL and at least one programming language (e.g., Python, R)
- Strong background in experimentation design, causal inference, and statistical analysis
- Experience working with large-scale data pipelines and production-level analytics systems
- Proven ability to drive measurable business impact through data and automation
Preferred Qualifications
- Experience with building robust monitoring systems to track data and model health in production
- Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
- Ability to connect insights to business outcomes and influence strategy
- Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML ops tooling
- Passion for fostering inclusive team environments and valuing diverse perspectives
- Clear communicator who can translate complex technical concepts into actionable business language
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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.