Senior ML Data Scientist, Payments Analytics

Apple Inc.

Cupertino (CA)

On-site

USD 150,000 - 278,000

Full time

6 days ago
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Benefits offered by this job

Medical and dental coverage
Retirement benefits
Educational reimbursement
Relocation assistance
Apple stock programs
Discounted products
Bonuses or commission potential

Job summary

Apple is seeking a Senior ML Data Scientist to join the Wallet, Payments & Commerce Analytics team in Cupertino. You will craft analytics strategies for Apple Pay, partnering with data science and data engineering to shape data-driven decisions at the highest levels.

You will build time series models, apply ML techniques, and translate complex results into clear narratives for executives. Expect to leverage GenAI-enabled insights, develop forecasting capabilities, and influence cross-functional

Qualifications

  • 5+ years in a Machine Learning/analytics role.
  • Strong business acumen to think strategically and operatively.
  • Experience with time series forecasting and ML for business analysis.
  • Self-starter, accountable and high-energy team player.
  • Able to influence cross-functional teams with actionable insights.
  • Excellent written/spoken communication; client-facing background helpful.
  • Proficiency with SQL, Python, R and Tableau for end-to-end data analysis.

Responsibilities

  • Be a strategic partner to senior leaders, driving high-impact initiatives across functions.
  • Turn complex business challenges into analytical approaches using advanced techniques.
  • Develop time series forecasting models to predict KPIs and revenue trends.
  • Apply ML techniques to understand growth drivers and quantify impact.
  • Build analytical frameworks combining statistical modeling and ML methods.
  • Translate forecasting results into clear business narratives for decisions.
  • Leverage GenAI to automate insights and improve data quality.
  • Design ML models to automate A/B test interpretation and recommendations.

Skills

Strategic thinking
Business acumen
Cross-functional collaboration
Communication
Time series forecasting
Self-starter

Education

Bachelor's in Economics/Finance/Statistics/Mathematics/Econometrics/Applied Social Sciences

Tools

SQL
Python
R
Tableau

Job description

Apple is seeking a Senior ML Data Scientist to join the Wallet, Payments & Commerce Analytics team in Cupertino. You will craft analytics strategies for Apple Pay, partnering with data science and data engineering to shape data-driven decisions at the highest levels.

You will build time series models, apply ML techniques, and translate complex results into clear narratives for executives. Expect to leverage GenAI-enabled insights, develop forecasting capabilities, and influence cross-functional

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