> Markdown version of [/jobs/ext/2313208-data-scientist](https://www.wearedevelopers.com/jobs/ext/2313208-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Apple Inc. - **Location:** San Diego, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** A/B Testing, Cognitive Science, Human-Computer Interaction, Statistical Hypothesis Testing, Regression Analysis, Strategies of Testing - **Published:** August 30, 2026 - **Apply:** https://www.beyondsandiego.com/job.asp?id=3369792013&tx=KL6767FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * BS in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field * 3+ years of experience in quality engineering, test strategy, or algorithm/ML evaluation * Experience writing quality specifications or test plans for complex technical systems adopted by multiple teams * Experience with signal-level sensor algorithms * Familiarity with statistical methods used in algorithm evaluation, such as A/B testing, regression analysis, and significance testing * Working proficiency with Python for data exploration and analysis, * MS or PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field * Strong understanding of ML and sensing system behavior, with the ability to reason about failure modes, edge cases, and the difference between a metric shifting and quality actually changing * Experience defining test scenario coverage models and setting benchmarks for systems where ground truth is ambiguous or user-dependent * Experience building consensus on quality standards across teams with competing priorities * Ability to write specifications precise enough for engineers to implement automation directly, without ambiguity * Background in UX research, HCI, or human factors, with experience grounding technical quality definitions in human behavior * Familiarity with embedded platform constraints * Experience with causal inference or advanced experimental design for algorithm evaluation ## Description Join Apple's HID Quality Engineering team to ensure our products exceed our customers' expectations! You'll work with QE and Algorithm teams to build metrics around algorithm performance, turning user behavior into quality specifications and measurable standards that teams can consistently apply. You will make sure new customer facing algorithms are validated effectively using data and repeatable processes. This includes defining the right data, ensuring quality of data and labeling, and running tests on datasets., This role is focused on defining algorithm quality. Day-to-day work involves writing quality specifications, establishing benchmarks, developing test scenario frameworks, and partnering closely with algorithm, platform, and UX research teams to identify where quality standards are missing or misaligned with user outcomes. ## Related Videos - [The Algorithm That Nearly Killed Me: When Testing Isn't Enough](https://www.wearedevelopers.com/videos/2110-the-algorithm-that-nearly-killed-me-when-testing-isn-t-enough) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Resolving technical debts in software architecture](https://www.wearedevelopers.com/videos/1680-resolving-technical-debts-in-software-architecture) - [Beyond the Benchmark: How to Evaluate AI Agents in the Real World](https://www.wearedevelopers.com/videos/100269-beyond-the-benchmark-how-to-evaluate-ai-agents-in-the-real-world) - [Excellent Software Testing](https://www.wearedevelopers.com/videos/87-excellent-software-testing) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119) - [Dev Digest 154: Responsible AI? Mistakes of CSS & track all the things!](https://www.wearedevelopers.com/magazine/548-dev-digest-154-responsible-ai-mistakes-of-css-track-all-the-things) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data) - [Dev Digest 118 - not a total recall](https://www.wearedevelopers.com/magazine/452-dev-digest-118-not-a-total-recall)