Senior ML Data Scientist, Payments Analytics

Apple, Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Product discounts and perks

Education reimbursement includingtu-

Relocation assistance

Bonuses or commissions

Job summary

Apple, Inc. is seeking a Senior ML Data Scientist for the Apple Pay Analytics team in Cupertino, CA. The role focuses on delivering high-impact ML and forecasting insights that influence executive decisions and strategic planning.

You will collaborate with data science and data engineering to ensure reliable data and scalable analytics, while exploring GenAI applications to automate insights generation and improve data quality.

Qualifications

• 5+ years in a Machine Learning Engineer role.
• Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.

Responsibilities

• Be a strategic partner to senior leaders, driving high-impact initiatives.
• Develop time series forecasting models to predict KPIs, revenue trends, and adoption patterns.
• Apply ML techniques to understand growth drivers and quantify impact.
• Build analytical frameworks combining statistical modeling and ML.
• Translate forecasting results into clear business narratives for leadership.

Skills

Time series forecasting

Strategic thinking

SQL

Python

R

Tableau

Communication skills

Cross-functional partner

Education

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

Master’s degree preferred

Tools

SQL

Python

R

Tableau

Job description

Apple, Inc. is seeking a Senior ML Data Scientist for the Apple Pay Analytics team in Cupertino, CA. The role focuses on delivering high-impact ML and forecasting insights that influence executive decisions and strategic planning.

You will collaborate with data science and data engineering to ensure reliable data and scalable analytics, while exploring GenAI applications to automate insights generation and improve data quality.