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Senior ML Data Scientist, Apple Pay Analytics

Apple· Wallet, Payments & Commerce Analytics
Apply on company site
Cupertino, CA$150.4k - $277.6kfull-timePosted 3w ago

About the role

Senior analytics role at Apple Pay Analytics within the Wallet, Payments & Commerce Analytics organization. You will partner with data science and data engineering teams to translate complex business challenges into analytical solutions, develop forecasting models, apply ML techniques, and create forward-looking insights for executive leadership.

Responsibilities

  • Act as a strategic partner to senior leaders, driving high-impact initiatives across multiple functions.
  • Turn complex business challenges into clear analytical approaches, using advanced techniques to uncover insights, measure performance, and identify opportunities for growth and efficiency.
  • Develop time series forecasting models to predict critical business KPIs, revenue trends, and adoption patterns to support strategic planning and resource allocation.
  • Apply machine learning techniques to understand business growth drivers, identify emerging trends, and quantify the impact of key business initiatives.
  • Build analytical frameworks that combine statistical modeling and ML methods to deliver forward-looking insights to executive leadership.
  • Translate complex forecasting results and ML-driven analyses into clear business narratives that inform strategic decisions.
  • Leverage, build GenAI applications to automate insights generation, enhance data quality processes, and devise new capabilities such as intelligent anomaly detection.
  • Design advanced ML models and capabilities to automate A/B test result interpretation, generate experiment summary narratives, and build intelligent systems that recommend optimal test designs.

Qualifications

  • 5+ years of demonstrated experience in a Machine Learning Engineer role.
  • Strong business acumen and the ability to think strategically and operationally.
  • Experience with time series forecasting methods and ML techniques for business analysis (regression, classification, clustering) to solve strategic business problems.
  • Be a self-starter, driven, accountable and a high-energy team player.
  • Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
  • Demonstrated ability to influence without authority.
  • Excellent communication skills—able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
  • Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
  • Knowledge of and experience in leveraging Applied Statistical/ML techniques.
  • Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.

Skills

Required:Time series forecastingMachine learningSQLPython or RData visualization (Tableau)Communication
Nice to have:GenAI

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • range of discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments as well as relocation (role may be eligible)
  • participation in Apple’s discretionary employee stock programs and Employee Stock Purchase Plan
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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