Senior Data Science Manager at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Oct, 26

Salary

0.0

Posted On

21 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Team Leadership, SQL, Python, Statistics, Experimentation Design, Causal Inference, LLMs, Data Visualization, Analytical Roadmap, Stakeholder Management, Production Readiness, Data Pipelines, Strategic Planning, Modeling

Industry

Computers and Electronics Manufacturing

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 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. DESCRIPTION • 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

Responsibilities

Lead and grow a high-performing data science team to drive analytics, modeling, and data-driven insights that shape business strategy. Set the analytical vision and roadmap while guiding technical execution and partnering with cross-functional stakeholders.