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Search Data Scientist - Maps Evaluation

Apple • Cupertino, CA • 10h ago

Cupertino, California, United States

Software and Services

Summary

Posted: Aug 14, 2025

Weekly Hours: 40

Role Number: 200616377-0836

Apple Maps is changing, and data is in the driver's seat. Our mission is to build the best map in the world. We work in a fast-paced data-focused environment where Data Scientists are given runway to own big projects and drive impact across the Maps organization.

Description

We are looking for a talented, detail-oriented Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services and features. This role is critical in measuring and improving search relevance and quality by analyzing large datasets, designing evaluation strategies, and interpreting feature usage patterns. We work directly with the Engineering and Product teams responsible for search, recommendation, and other algorithms that impact our millions of users every day.

Responsibilities

Use data intuition to translate hard product goals and business problems into solvable data science problems

Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience

Work with human-labeled datasets and relevance judgments to evaluate ranking algorithms

Conduct exploratory data analyses to mine large volume of data, extract insights, and recommend opportunities for search product improvements

Automate analyses and pipelines via SQL and Python-based ETL frameworks

Communicate insights to partner teams to influence product direction with data

Build data products (feature datasets, analyses, models, etc.), dashboards and automation to drive hypothesis generation and support collaborative decision-making with our partner teams in engineering and product management

Minimum Qualifications

MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain

3+ years experience with data analysis at web scale or relevant work experience

Proficient in Python

Proficient in at least one database language (e.g., SQL, Snowflake)

Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions

Solid communication and presentation skills

Preferred Qualifications

Prior work experience with human-labeled datasets

Experience assessing the quality of unreleased product features

Prior proven industry experience with large data sets using technologies like Hadoop and Spark

Experience writing pipelines for automating analytics tasks at scale

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 $141,800 and $258,600, 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. (https://www.apple.com/careers/us/benefits.html)

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088\EEOC\KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Apple

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