Senior Data Science Manager - Worldwide Product Marketing
- Location
- Cupertino · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 10+ years
- Education
- Bachelor's degree
- Listed
- 14 days ago
Skills & highlights for this role
- Data science
- Analytics
- Applied machine learning
- Team leadership and mentoring
- Statistics
- Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or related field
Also useful
- Experimentation design
- Causal inference
- SQL
- Python
- Large, complex datasets and data pipelines
- Production-level analytics systems
- Driving measurable business impact through data and automation
- Exceptional communication skills
Summary
As a Senior Data Science Manager, you will lead and grow a high-performing team of data scientists driving analytics, experimentation, modeling, and data-driven insights that shape business strategy and product experiences. Operating at both the strategic and execution levels, you will set the team's analytical vision and roadmap while staying close enough to the work to guide modeling, machine learning, and production readiness. As a trusted advisor to leadership, you will bring clarity to complex problems and influence decisions with evidence-based recommendations.
About the role
- Lead data science initiatives end-to-end—from scoping and data prep to modeling, visualization, and delivery
- Provide technical direction and review analytical approaches, ML models, and dashboards
- Set standards for code and data quality, reproducibility, and production readiness, partnering with Engineering and ML teams on scalable solutions
- Champion the responsible use of LLMs and AI-assisted tooling to accelerate insights, visualization, and modeling
- Set the analytical vision and multi-quarter roadmap, aligned to business priorities and Apple's broader goals
- Prioritize competing initiatives, balancing quick wins against long-term platform and capability investments
- Anticipate where the discipline is heading—including AI/LLM and agentic workflows—and shape the team's capabilities accordingly
- Translate business questions into analytical frameworks, and analytical results into actionable decisions
- Serve as the primary thought partner for Finance, Marketing, Engineering, Product, and cross-functional stakeholders
Minimum Qualifications
- 10+ years of experience in data science, analytics, or applied machine learning
- 2+ years leading, mentoring, and scaling data-focused teams
- Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
Preferred Qualifications
Strong foundation in statistics, experimentation design, causal inference, and ML methodologies
Proficiency in SQL and Python
- Experience with large, complex datasets, data pipelines, and production-level analytics systems
- Proven ability to drive measurable business impact through data and automation
- Exceptional communication skills, able to influence technical and non-technical stakeholders
- Ability to operate effectively in ambiguous, complex environments and set clear direction
From Apple's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Senior Data Science Manager - Worldwide Product Marketing job at Apple located?
This Senior Data Science Manager - Worldwide Product Marketing position at Apple is located in Cupertino (On-site). Always check Apple's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior Data Science Manager - Worldwide Product Marketing at Apple?
For the Senior Data Science Manager - Worldwide Product Marketing role, Apple highlights 10+ years of relevant experience; a bachelor's degree; experience with Data science, Analytics, Applied machine learning, Team leadership and mentoring, Statistics, Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or related field. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior Data Science Manager - Worldwide Product Marketing position at Apple?
This listing links directly to Apple's application page. You can apply directly on Apple's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.