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Data Scientist - Strategic Data Solutions

Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Develop fraud detection models

  • Build automated solutions that send timely fraud alerts

  • Evaluate product launches

  • Find future opportunities by applying cutting-edge scientific methods

  • Partner with engineers, product and business leaders on customer-facing improvements

From the employer’s posting
provide data driven insights to fight fraud. You will develop models
develop automated solutions to deliver timely alerts
evaluate product launches
find opportunities for future development by applying the bleeding edge scientific methods
You will partner with engineers, product, program and business leaders alongside other teams
Apply at Apple

Posting record

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Status in our records
Live
First seen by us
Sep 1, 202664 days ago
Recorded sightings
350
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 64

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 10,000 similar postings that came down. Coming down is not always a hire.

Apple is hiring

443 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

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Your next step

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Has Apple posted this job before?

Yes. We’ve followed one other Data Scientist - Strategic Data Solutions job there since September 2026. It is still up.

  1. This jobUp 64 days so far, first seen Sep 1
  2. AustinStill up after 61 days, first seen Sep 4

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Source details

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Cambridge

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