Senior Data Scientist, Special Projects

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $144,600–$263,800 / yr
Posted: 52 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k

This role $204k

$118k $279k

below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $141,246–$214,000 — the blue band above. At the midpoint, this role pays about $204k versus about $178k 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 3631 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2844 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist, Special Projects

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The Senior Data Scientist - Special Projects joins a team operating at the intersection of hardware, software, and intelligence. This role involves analyzing large volumes of multi-modal data from devices and cloud systems to identify trends, correlations, and anomalies. You will build interactive dashboards, visualizations, and metrics to evaluate system behavior while developing search, retrieval, and indexing strategies to make data more discoverable. Key responsibilities include designing evaluation frameworks, KPIs, and diagnostics for AI and robotics systems, and collaborating with cloud engineers on data organization. Required skills include proficiency in Python, SQL, and NoSQL, along with expertise in data visualization and statistical modeling. You will solve complex problems regarding data quality, model behavior, and system performance within distributed inference platforms and large-scale data pipelines.

What does a Data Scientist earn in California?

Median $214500 from 103 postings across 27 companies.

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Skills

Python SQL NoSQL Data Visualization Information Retrieval Statistical Modeling Time-series Analysis Anomaly Detection Data Pipelines Exploratory Data Analysis Metadata Management search, retrieval Embedding-based Search

What you'll do

Model large volumes of multi-modal data from devices and cloud systems to identify trends and anomalies.
Design and build interactive dashboards, visualizations, and metrics to evaluate system behavior.
Develop search, retrieval, and indexing strategies to make large-scale data more discoverable and actionable.
Design evaluation frameworks, KPIs, and diagnostics to assess data quality and model performance.
Shape how data is organized, stored, and exposed for efficient querying in cloud environments.
Investigate data quality issues and define validation strategies for data collection and pipeline design.
Translate complex data findings into clear, actionable insights through written analyses and visual storytelling.

What we're looking for

Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related field.
5+ years of industry experience in data science, analytics engineering, or applied research roles.
Strong proficiency in Python and common data analysis libraries.
Expertise in querying and modeling data in SQL and NoSQL environments.
Experience with data visualization tools and frameworks for building interactive dashboards.
Ability to analyze large-scale, high-dimensional, and multi-modal datasets.
Experience designing KPIs, evaluation metrics, or experiment analyses for complex systems.
Familiarity with information retrieval techniques, distributed systems, or multi-modal AI (preferred).

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