Data Science Manager – Strategic Data Solutions
Apple - Austin, United States of America
Posted Nov 6, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
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- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Science Manager – Strategic Data Solutions Austin, United States of America 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 (SDS) 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. • 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
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