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Skills
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Business Strategyunmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Data Scienceunmatched
- Establish Prioritiesunmatched
- Financeunmatched
- International Marketingunmatched
- Leadershipunmatched
- Machine Learningunmatched
- Machine Toolunmatched
- Marketingunmatched
- Mathematicsunmatched
- Mentoringunmatched
- Production Machiningunmatched
- Python Programming/Scripting Languageunmatched
- Reporting Dashboardsunmatched
- SQL (Structured Query Language)unmatched
- Statisticsunmatched
- Training Data Setsunmatched
Description
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 teams 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.
- 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 Apples 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 teams 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 stakeholders10+ years of experience in data science, analytics, or applied machine learning 2+ years leading, mentoring, and scaling data-focused teams Bachelors degree in Computer Science, Statistics, Applied Math, Engineering, or a related field 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
Numbers & Facts
| Location | Cupertino, CA |
| Industry | Computer/IT Services |
| Company Size | 10,000 employees or more |
| Year Founded | 1976 |
| Website | https://www.apple.com/jobs |
About Company
We bring amazing people together to make amazing things happen.
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
About Apple
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.