Job Description
Would you like to drive the future of Apple’s products, applications, and platform while having the unique opportunity to impact some of the most far-reaching software in the world? The Apple Services Engineering (ASE) organization leads the development and innovation on Apple’s cloud-centric products and experiences for users all over the world, including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, Notes, etc. We are the foundation on which Apple’s software developers build the products that our customers love. Our multi-disciplinary data team plays a fundamental role in this mission by partnering closely with product, engineering, and business teams to develop a culture of leveraging data to inform and craft our strategy.
Description
We are looking for someone with a track record in extracting and synthesizing insights into narratives that shape strategy and influence product direction.
This role partners closely with business and product teams across ASE. Work includes: - Connect with and advocate to a wide audience of engineers, managers and executives to influence decisions. - Craft the narrative for iCloud performance — identify and elevate key insights, and develop scalable approaches for summarizing complex results into an accessible format. - Collaborate with partners and Data Engineering to define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data. - Extract information from structured and unstructured data. - Perform exploratory data analyses and use statistics techniques to identify key areas of opportunity and new questions to pursue. - Plan, design, and analyze A/B tests or experiment results. - Build models to forecast growth, capacity requirements, etc.
Minimum Qualifications
- 5+ years in an analytics or data science role.
- Strong product sense as demonstrated by experience influencing or driving product strategy.
- Experience driving alignment across different stakeholders who may at times have strong and diametrically opposed views by leveraging data and decision frameworks - a hybrid between a data scientist and a product manager.
- You have excellent verbal and written communications skills and experience communicating technical concepts to senior executive audiences in order to influence decisions with data.
- You think about data in terms of statistical distributions and have a big enough analytics toolbox (e.g. Statistics, Machine Learning) to know how to find patterns in data, identify targets for performance, and identify sources of variance about those targets.
- You use good judgment balancing art and science when visually communicating information (e.g. Tableau, Superset, ggplot).
- You have engineered information out of massive and complex datasets (e.g. Hive, Spark, Druid).
- You have proven experience in SQL and at least one programming language (e.g., Python, R, Scala) and are comfortable developing code in a team environment (e.g., git, notebooks, testing).
- You are self-motivated and curious with proven creative and critical thinking capabilities and a highly developed aim to improve how things work.
- You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
Key Qualifications
Preferred Qualifications
- Your academic background is in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, Physics, and etc. Advanced degree preferred.
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 $166,600 and $296,300, 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 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.
We are looking for someone with a track record in extracting and synthesizing insights into narratives that shape strategy and influence product direction.
This role partners closely with business and product teams across ASE. Work includes: - Connect with and advocate to a wide audience of engineers, managers and executives to influence decisions. - Craft the narrative for iCloud performance — identify and elevate key insights, and develop scalable approaches for summarizing complex results into an accessible format. - Collaborate with partners and Data Engineering to define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data. - Extract information from structured and unstructured data. - Perform exploratory data analyses and use statistics techniques to identify key areas of opportunity and new questions to pursue. - Plan, design, and analyze A/B tests or experiment results. - Build models to forecast growth, capacity requirements, etc.
Job Tags
Relocation,