Senior ML Data Scientist, Apple Pay Analytics - Jobs - Careers at Apple

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly. If you are an ambitious, hands on seasoned senior analytics, high-energy individual who is not afraid of challenges, we're looking for you to join the Wallet, Payments & Commerce Analytics organization to craft the future for the Apple Pay business. Your recommendations will directly shape decisions at the highest levels, while you partner with the extended data sciences & data engineering to ensure reliable, accessible data. We work fast and iteratively, value open feedback and debate, and balance teamwork with independent decision-making and smart risk-taking.

• • In this role, you’ll be a strategic partner to senior leaders, driving high-impact initiatives across multiple functions.
• • You’ll 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.

• • 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.

• • Demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain
• • Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action
• • Track record of leading organization-wide strategic initiatives or transformative analytics projects
• • Master’s degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.