Senior ML Data Scientist, Apple Pay Analytics

Apple • Cupertino, CA

16h

About The Position

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.

Requirements

• 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.

Nice To Haves

• 8+ years of 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior