Machine Learning Scientist, AppleCare WW Demand Planning

Apple Inc

Quick summary

Work type: On-site
Location: San Francisco, CA
Salary: $184,700–$277,600 / yr
Posted: today
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $227k

This role $231k

$163k most similar roles pay here $290k

This role pays more than 56% of similar roles. Most pay $198,656–$254,750 — the shaded band above. At the midpoint, this role pays about $231k versus about $227k for comparable roles.

Based on 240 similar postings.

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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 1823 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 1495 roles with salary data.

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At a glance

TL;DR · Machine Learning Scientist, AppleCare WW Demand Planning

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As a Machine Learning Scientist at AppleCare Worldwide Demand Planning, you will join a diverse team of data scientists and planners to operationalize and scale forecasting models that ensure service continuity across all channels. Your day-to-day responsibilities include developing robust, self-improving production systems for complex analyses, focusing on time series forecasting, anomaly detection, and optimization. You must have expertise in Python, SQL, and large-scale distributed data processing frameworks like Snowflake and Spark, along with the ability to communicate intricate mathematical concepts clearly to non-technical stakeholders. This role requires a Master’s or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related field, plus 3+ years of industry experience deploying machine learning models, or a Bachelor’s degree with 6+ years of equivalent experience. Your work will directly impact resource availability for millions of customers globally, driving the heartbeat of AppleCare's service infrastructure.

Skills

Python SQL Snowflake Oracle Spark Hadoop CI/CD Time Series Forecasting Anomaly Detection Object-Oriented Design Distributed Data Processing APIs Containerization

What you'll do

Develop and deploy machine learning models for time series forecasting and anomaly detection.
Ensure robustness and scalability of production systems by applying software design principles.
Translate complex data analyses into actionable insights for non-technical stakeholders.
Work with large-scale distributed data processing frameworks to handle big data challenges.
Mentor team members in integrating statistical analysis with software engineering practices.
Enhance inventory forecasting accuracy at AppleCare warehouses, retail stores, and service providers.

What we're looking for

Master’s or PhD with 3+ years or Bachelor’s with 6+ years in deploying Machine Learning models.
Expertise in Time Series forecasting, Anomaly Detection, and Optimization.
Proficient in Python, Object-Oriented Design, data structures, and testable code practices.
Expert-level SQL skills and experience with large-scale distributed data processing frameworks.
Superior ability to communicate complex mathematical concepts to non-technical stakeholders.

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