Apple · 7 hours ago
Data Scientist
San Diego, California, United States
Full-time
Onsite
Mid, Senior Level
$172K/yr - $302K/yr
3+ years expApple is a global leader in technology and innovation, and they are seeking an outstanding Data Scientist to join their Applications team. The role involves designing, developing, and scaling advanced marketing measurement and optimization models to inform strategic marketing investment decisions.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design, develop, and deploy machine learning–driven marketing measurement and optimization models
Build Marketing (Media) Mix Models, budget allocation and optimization frameworks across sub-channels, and predictive machine learning models to assess channel quality and efficiency
Collaborate closely with Marketing, Product, and Business partners to translate business problems into scalable, explainable, and production-ready ML solutions
Qualification
Required
PhD in Statistics, Mathematics, Economics, Operations Research, or a related quantitative field with 3+ years of relevant experience; or MS with 5+ years of experience in applied modeling and optimization roles
Strong hands-on experience with Marketing / Media Mix Models (MMM), including budget allocation, optimization frameworks, marginal ROI analysis, and incorporating experimentation results (e.g., geo-lift tests, A/B experiments)
Experience modeling marketing performance at granular levels, including sub-channel dimensions such as creative, placement, audience, and brand vs. performance
Strong foundation in statistics, regression, time-series analysis, causal inference, and optimization, with familiarity in Bayesian MMM, hierarchical models, or probabilistic forecasting
Experience designing, implementing, and evaluating ML models in Python, with solid understanding of model validation techniques and performance metrics
Proven ability to work with large-scale, multi-source datasets, and apply quantitative methods to real-world business problems
Working proficiency with distributed data systems and big data tools (e.g., Hadoop, Spark)
Strong communication, collaboration, and stakeholder influence skills, with a demonstrated track record of driving business impact through data-driven recommendations
Preferred
Ability to translate research ideas into scalable, production-level ML/AI solutions
Experience in building and maintaining machine learning pipelines, including data preprocessing, model training, and deployment
Experience developing AI tools, frameworks, or APIs to support model deployment or LLM-based applications
Familiarity with generative AI techniques (e.g., diffusion models, transformer architectures)
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase