Senior Data Scientist, Strategic Modeling & Simulation
Apple · Cupertino ·
- Seniority
- Senior
- Category
- Data science
- Experience
- 5+ years
- Company size
- 1000+
Apple · Cupertino ·
At Apple, many of the most consequential decisions are made long before products launch, features ship, or investments are approved. We are seeking a Senior Data Scientist, StrategicModeling & Simulation to help quantify the future impact of strategic decisions under uncertainty.
This role combines strategic simulation, predictive modeling, machine learning, impact estimation, forecasting, and quantitative decision science to help leadership evaluate opportunities, understand trade-offs, and make better long-term investment decisions. You will develop the models that connect experimentation learnings, behavioral signals, and business outcomes into forward-looking simulations that support strategic planning and resource allocation.
As Apple expands investments in AI-powered experiences and intelligent systems, this role will help assess the long-term implications of emerging technologies and evolving customer behaviors while supporting strategic decision-making under uncertainty.
The ideal candidate combines strong quantitative rigor with systems thinking, scientific curiosity, and a passion for solving complex product and business problems through modeling and simulation.
As a Senior Data Scientist, Strategic Modeling & Simulation, you will develop simulation systems and strategic modeling frameworks that estimate the long-term impact of product, growth, and business decisions.
You will work across experimentation, product, marketing, consumer research, engineering, finance, and leadership teams to develop predictive models, impact estimation frameworks, and strategic scenario simulations that support decision-making under uncertainty.
This role sits at the intersection of machine learning, economics, forecasting, simulation, operations research, and quantitative strategy. You will help develop forecasting and simulation capabilities that support both traditional product investments and emerging technology initiatives where long-term outcomes are uncertain and difficult to measure directly.
The ideal candidate possesses strong technical depth, excellent scientific reasoning skills, and the ability to communicate quantitative insights to executive audiences.