Data Scientist - Analog and Mixed Signal IPs and S...

Job description


In this hybrid (hardware/software) role, you will develop state-of-the-art data science methods to apply machine learning and statistical analysis to explore, examine, and visualize data collected from early silicon chips and systems developed for the world’s premiere products.

At Apple, we work every single day to craft products that enrich peoples’ lives. Do you love working on challenges that no one has solved yet? Do you like changing the game? We have an opportunity for a forward-thinking and especially hardworking Data Scientist. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft upcoming products that will surprise and delight millions of Apple’s customers every day!

Key Qualifications

Proficiency in data science, machine learning, and statistical data analysis.

Experience in crafting, conducting, analyzing, and interpreting experimental data.

Generate data-driven insights to help future design decisions using large datasets.

Capable of driving projects of varying sizes and scopes — some will take weeks and some months — and you will need to know when to dive deep.

Experience in developing data science pipelines, toolchains, and workflows in Python, R, MATLAB, or equivalent programming languages.

5+ years of proven experience building data science driven solutions to solve business problems.

Collaborative mentality, especially in a multifaceted & diverse environment.


In this role you will:

• Develop tools and methods to improve the data analysis, visualization, and processing of analog-and-mixed signal IPs/Systems using machine-learning and data science methods.

• Work closely with engineering teams to guarantee the consistency and validity of insights generated across multiple IPs/Systems and prototypes.

• Generate insights from raw, unstructured historical data to influence future IPs/Systems.

Education & Experience

• B.S. in Electrical Engineering, Physics, Statistics, Mathematics, or similar quantitative field and 10+ years of relevant industry experience or equivalent

• Advanced Degree (MS or PhD) preferred

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

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 $161,000 and $278,000, 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.

Role Number: 200469971

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