Sr Data Scientist, Evaluation

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $139,500–$258,100 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k

This role $199k

$114k most similar roles pay here $274k

This role pays more than 68% of similar roles. Most pay $129,501–$209,750 — the shaded band above. At the midpoint, this role pays about $199k versus about $170k 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 1817 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1482 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Sr Data Scientist, Evaluation

Role Posting Log in to save

As a Senior Data Scientist at Apple's Evaluation team, you will drive product impact by developing evaluation methods to enhance the quality of user-facing products like Siri. You will collaborate with engineering teams to translate your methodological advancements into practical technologies used daily in product development across multiple platforms and languages. Your responsibilities include working with large datasets, conducting complex analyses, and building scalable analysis pipelines to provide actionable insights. You must have a strong background in quantitative fields such as Statistics or Computer Science, along with proficiency in data science, machine learning, and programming skills like Python and SQL. Additionally, you will need to articulate technical concepts clearly to diverse stakeholders and advocate for product metric improvements to guide feature development effectively.

Skills

Python R Scala SQL Spark Machine Learning Data Science Statistical Data Analysis Experiment Design Causal Inference Data Quality Assessment CI/CD

What you'll do

Develop evaluation methods to enhance the quality of Apple's user-facing products like Siri and AI.
Translate methodological developments into technologies used daily by product engineering teams.
Conduct complex analyses, including data collection, quality control, and requirements specification.
Build comprehensive knowledge of product data structures and advocate for necessary changes.
Partner with product engineering teams on core machine learning algorithms and user experience evaluations.
Prototype analysis pipelines to provide large-scale insights iteratively.

What we're looking for

5+ years of relevant work experience in a quantitative field like Statistics or Computer Science.
Proficiency in data science, machine learning, and analytics with expertise in statistical data analysis.
Strong programming skills in languages such as Python, R, Scala, and SQL for data processing.
Ability to articulate business questions and use statistical techniques to derive answers from available data.
Experience crafting, conducting, analyzing, and interpreting experiments on data quality and evaluation.
Comprehensive knowledge of product data structures and metrics with the ability to advocate for changes.

Save