Role at a glance
- Salary
- Not Disclosed
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
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Role Summary
Apple’s Strategic Data Solutions team is seeking a data science and analytics leader to build and lead a team of senior data professionals focused on analytics and experimentation. The role partners with machine learning engineering leaders to deliver science and analytics that support decision automation and performance optimization across business goals.
What You'll Do
- Hire, grow, and lead a team of data professionals spanning analytics engineering and experimentation
- Guide team members in delivering data and business analytics, data storytelling, architecture guidance, and performance optimization
- Oversee data transformation and integration from multiple sources to ensure data integrity, accessibility, and consistency
- Design and implement monitoring, alerting, and health check programs for data and model performance
- Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making
- Partner with cross-functional leaders to align analytics initiatives with strategic objectives
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Proficiency in SQL and at least one programming language; strong background in experimentation design, causal inference, and statistical analysis; experience with large-scale data pipelines and production-level analytics systems; proven ability to drive measurable business impact through data and automation
Required
- SQL
- Python or R
- experimentation design
- causal inference
- statistical analysis
- large-scale data pipelines
- production-level analytics systems
Preferred
- Building robust monitoring systems to track data and model health in production
- Data storytelling and stakeholder-ready visualizations and narratives
- Modern data platforms such as Spark, Snowflake, or Airflow
- ML Ops tooling
- Translating complex technical concepts into actionable business language
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
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
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
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.