Back to Jobs search

Senior Data Scientist- Maps Evaluation

Apple • Cupertino, CA • 2h ago

Cupertino, California, United States

Software and Services

Summary

Posted: May 01, 2025

Role Number: 200602391-0836

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

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, AI/ML modeling, data mining, and more.

Your role:

Build data products (feature datasets, analyses, models, etc.) and scalable tools (typically in Python or Scala) 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/Scala-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

6+ 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

This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this @type of role at Apple in the future.

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.

IT & Engineering

Data Scientist- Maps Evaluation Cupertino, California, United States Software and Services Summary Posted: Apr 30, 2025 Role Number: 200602392-0836 Apple is where individual imaginations gather together, committing to th...

2h ago

Go to Apply

Research Data Scientist, Search Quality

Google • Mountain View, CA • 2h ago

IT & Engineering

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. 5 years of work ex...

2h ago

Go to Apply

ML Data Scientist - Research Analytics, Apple Ads

Apple • Cupertino, CA • 2h ago

IT & Engineering

ML Data Scientist - Research Analytics, Apple Ads Cupertino, California, United States Software and Services Summary Posted: Jul 25, 2025 Weekly Hours: 40 Role Number: 200614080-0836 At Apple, we focus deeply on our cust...

2h ago

Go to Apply

Staff Business Data Scientist, Consumer Research and Insights

Google • Mountain View, CA • 2h ago

IT & Engineering

Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 7 years of experience using analytics to solve product or business probl...

2h ago

Go to Apply

ML Data Scientist - Marketplace, Apple Ads

Apple • Cupertino, CA • 2h ago

IT & Engineering

ML Data Scientist - Marketplace, Apple Ads Cupertino, California, United States Software and Services Summary Posted: Jul 25, 2025 Weekly Hours: 40 Role Number: 200601259-0836 At Apple, we believe in the power of technol...

2h ago

Go to Apply

Machine Learning Data Scientist - Computer Vision

Apple • Sunnyvale, CA • 2h ago

IT & Engineering

Machine Learning Data Scientist - Computer Vision Sunnyvale, California, United States Hardware Summary Posted: Jul 08, 2025 Role Number: 200611839-3956 The Video Engineering organization is at the forefront of developin...

2h ago

Go to Apply

Subscribe to get new jobs sent directly to you
(no charge, cancel anytime)

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.