Senior Data Scientist, Strategic Modeling & Simulation

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $167k

This role $250k

$93k most similar roles pay here $343k

This role pays more than 96% of similar roles. Most pay $135,000–$199,800 — the shaded band above. At the midpoint, this role pays about $250k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Senior Data Scientist, Strategic Modeling & Simulation

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As a Senior Data Scientist in Strategic Modeling & Simulation at Apple, you will join a team dedicated to evaluating the long-term impact of strategic decisions through advanced modeling and simulation. Your role involves developing predictive models and frameworks that estimate future outcomes for product investments, growth initiatives, and business strategies under uncertainty. You will collaborate with cross-functional teams including Product, Marketing, Engineering, Finance, and leadership to create simulations that support decision-making by quantifying potential impacts and risks. Key responsibilities include building probabilistic forecasting tools, optimizing resource allocation, and assessing the long-term implications of emerging technologies like AI-powered experiences. The ideal candidate has a strong background in statistics, data science, or related fields with expertise in machine learning, Python programming, and large-scale dataset analysis. This role requires excellent communication skills to convey complex quantitative insights effectively to executive stakeholders.

Skills

Python MachineLearning StatisticalModeling Forecasting BayesianMethods SurvivalAnalysis ReinforcementLearning SQL NoSQL AWS Kubernetes CI/CD Git JupyterNotebook TensorFlow PyTorch Scikit-learn Pandas NumPy Matplotlib Seaborn Docker Prometheus

What you'll do

Develop simulation frameworks to estimate future outcomes under various strategic scenarios.
Build predictive models for key metrics like retention, churn, engagement, and lifetime value.
Estimate the long-term impact of product investments before resources are committed.
Quantify uncertainty in forecasts using probabilistic modeling approaches.
Evaluate trade-offs across competing initiatives through strategic scenario analysis.
Develop frameworks to model the potential impact of emerging technologies on business outcomes.

What we're looking for

Master's degree in a quantitative field (Statistics, Data Science, etc.)
5+ years of experience in predictive modeling, simulation, forecasting
Expertise in statistical modeling, machine learning, and quantitative reasoning
Strong Python programming skills with ML or statistical modeling ecosystems
Experience building predictive models for retention, churn, engagement, etc.
Ability to work with large-scale behavioral and business datasets
Strong communication skills for translating complex data into decision guidance

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