Data Scientist-Maps Evaluation

Data Scientist-Maps Evaluation

San Francisco Bay Area, California, United States

Software and Services

Summary

Posted: Aug 21, 2025

Weekly Hours: 40

Role Number:

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, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services, features, and Apple Business Connect. We work directly with the Engineering and Product teams responsible for search, recommendation, and other algorithms that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, data mining, and more.

Responsibilities

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

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

• Design effective experiments for evaluating complex data and machine learning-based systems

• Develop models and analyses to mine large volume of data, extract insights, and recommend opportunities for product improvements

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

• Communicate insights to partner teams to influence product direction with data

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

Minimum Qualifications

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

• 5+ 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)

• Strong in translating ambiguous business questions and needs into clear technical requirements, and using statistical techniques to find solutions

• Excellent verbal and written communication skills, with proven experience communicating complex technical concepts to senior executives to drive data-informed decision

• Strong ability to manage priorities and demonstrated leadership in cross-functional collaboration with teams across engineering, product, business, design, and more

Preferred Qualifications

• Prior industry experience with AB testing and causal inference

• Experience in information retrieval

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

• Experience writing pipelines for automating analytics tasks at scale

• Experience mentoring junior data scientists and leading projects of varying sizes and scopes

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. (

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 ( .

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 ( .

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 ( .

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.

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