Apple
Data Scientist - Apple Maps Evaluation
Apple, Cupertino, California, United States, 95014
Data Scientist - Apple Maps Evaluation
Cupertino,California,United States
Software and Services
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. As Data Science organization, our goal is to harness the power of user data to help Maps make great decisions. We work in a data-driven environment where Data Scientists are instrumental in keeping the data that powers Apple Maps up-to-date and relevant.
Description
We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on evaluating intricate layers of Maps data, ensuring its accuracy and reliability, and identifying areas of improvements. We work directly with the Engineering, Product, and Operation teams responsible for basemap data and service algorithms that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more. 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
3+ years experience with data analysis at web scale or relevant work experience
Proficient in at least one programming/scripting language (e.g., Python, Scala, Java)
Proficient in at least one database language (e.g., SQL)
Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions
Solid communication and presentation skills
Key Qualifications
Preferred Qualifications
Prior industry experience with AB testing and causal inference
Experience with spatial data analysis
Prior proven industry experience with large data sets using technologies like Hadoop and Spark
Experience writing pipelines for automating analytics tasks at scale
Domain-specific knowledge of the mapping/transportation/GIS industry
Experience mentoring junior data scientists and leading projects of varying sizes and scopes
Education & Experience
Additional Requirements
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 $136,300 and $248,700, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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 Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
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 (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
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 (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Cupertino,California,United States
Software and Services
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. As Data Science organization, our goal is to harness the power of user data to help Maps make great decisions. We work in a data-driven environment where Data Scientists are instrumental in keeping the data that powers Apple Maps up-to-date and relevant.
Description
We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on evaluating intricate layers of Maps data, ensuring its accuracy and reliability, and identifying areas of improvements. We work directly with the Engineering, Product, and Operation teams responsible for basemap data and service algorithms that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more. 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
3+ years experience with data analysis at web scale or relevant work experience
Proficient in at least one programming/scripting language (e.g., Python, Scala, Java)
Proficient in at least one database language (e.g., SQL)
Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions
Solid communication and presentation skills
Key Qualifications
Preferred Qualifications
Prior industry experience with AB testing and causal inference
Experience with spatial data analysis
Prior proven industry experience with large data sets using technologies like Hadoop and Spark
Experience writing pipelines for automating analytics tasks at scale
Domain-specific knowledge of the mapping/transportation/GIS industry
Experience mentoring junior data scientists and leading projects of varying sizes and scopes
Education & Experience
Additional Requirements
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 $136,300 and $248,700, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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 Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
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 (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
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 (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .