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Data Scientist - Corporate & Institutional Banking

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Apple

Data Scientist, Audio Telemetry Intelligence

Cupertino, CA$144,600 – $263,800Posted 24 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Imagine what you could do at Apple! Everyday, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. The Media Graphics Compute Technologies (MGC) group is at the center of audio, video, and graphics in Apple's innovative products, including the iPhone, iPad, Mac, Apple Watch, AirPods, HomePod, Apple TV and Vision Pro. Our work directly impacts the end-user experience through impactful features such as Adaptive Noise Control, Conversation Awareness, FaceTime, Siri, media playback, and Conversation Boost, to name just a few.

We're seeking an experienced Data Scientist to join our Audio Technology team, focusing on developing and optimizing audio experiences across our portfolio of consumer electronics. You'll work at the intersection of audio engineering, machine learning, and user experience, analyzing complex datasets to drive improvements in sound quality, noise cancellation, voice recognition, and acoustic performance.

Description

We are seeking a Data Scientist to help advance telemetry intelligence for device experience optimization. This role focuses on analyzing large-scale audio session and device telemetry data to uncover patterns in user behavior and system adjustments, enabling opportunities for predictive and adaptive system improvements.

The ideal candidate combines strong data analysis and programming skills with experience working with large-scale datasets. This role will partner with data scientists and engineers to build reliable datasets, develop analytical workflows, and translate telemetry insights into data-driven improvements to device audio experiences.

","responsibilities":"

Analyze large-scale audio session and device telemetry data to identify patterns in user behavior and system adjustments.

Develop analytical datasets and workflows that support scalable analysis and experimentation.

Build and maintain data pipelines that transform raw telemetry into reliable analytical datasets.

Explore opportunities for predictive or adaptive system behaviors that improve device audio experience.

Partner with engineering and product teams to translate telemetry insights into actionable product improvements.

Improve data accessibility and reliability through automation and internal data tooling.

Support experimentation and data-driven decision making across audio and device interaction scenarios.

Preferred Qualifications

Experience working with telemetry, or time-series data.

Familiarity with predictive modeling or pattern detection in large-scale data.

Experience working with real-time or streaming data pipelines.

Experience using AI-assisted development tools

Proven experience working with large-scale data platforms or cloud-based data infrastructure.

Strong communication skills with the ability to translate complex data insights into actionable recommendations.

Experience using version control systems such as Git in collaborative environments.

Minimum Qualifications

Bachelor's or Master's degree in Data Science, Machine Learning, Data Engineering, Computer Science, or a related quantitative field.

3+ years of full-time professional experience in data science, data engineering, or machine learning related roles.

Strong programming skills in Python for data analysis, scripting, and automation.

Advanced SQL skills for querying and analyzing large-scale datasets.

Experience building or maintaining data pipelines and ETL/ELT workflows.

Experience working with large-scale or distributed data processing frameworks (e.g., Apache Spark).

Solid understanding of data modeling, data quality, and analytical dataset development.

Proven work experience with applying statistical analysis or machine learning techniques to behavioral datasets.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $144,600 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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