Senior Data Science Manager Worldwide Product Marketing

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.

tLead data science initiatives end-to-endfrom scoping and data prep to modeling visualization and deliveryntProvide technical direction and review analytical approaches ML models and dashboardsntSet standards for code and data quality reproducibility and production readiness partnering with Engineering and ML teams on scalable solutionsntChampion the responsible use of LLMs and AI-assisted tooling to accelerate insights visualization and modelingntSet the analytical vision and multi-quarter roadmap aligned to business priorities and Apples broader goalsntPrioritize competing initiatives balancing quick wins against long-term platform and capability investmentsntAnticipate where the discipline is headingincluding AI/LLM and agentic workflowsand shape the teams capabilities accordinglyntTranslate business questions into analytical frameworks and analytical results into actionable decisionsntServe as the primary thought partner for Finance Marketing Engineering Product and cross-functional stakeholders

10 years of experience in data science analytics or applied machine learningn2 years leading mentoring and scaling data-focused teamsnBachelors degree in Computer Science Statistics Applied Math Engineering or a related fieldn

Strong foundation in statistics experimentation design causal inference and ML methodologiesnProficiency in SQL and PythonnExperience with large complex datasets data pipelines and production-level analytics systemsnProven ability to drive measurable business impact through data and automationnExceptional communication skills able to influence technical and non-technical stakeholdersnAbility to operate effectively in ambiguous complex environments and set clear directionn