Summary

Posted: Jan 15, 2025

Weekly Hours: 40

Role Number:200586745

The Evaluation Data Science team in Apple Maps is responsible for A/B experimentation, exploratory data analysis, metrics development, generative analytics, opportunity analysis, and more. Our mission is to use data to understand the voice of our users, at scale, while building the best and most privacy-aware Map in the world. We are looking for a talented Data Science Manager to join our cross-functional team. We work in a fast-paced data-focused environment where your Data Science teams are given runway to own big projects and drive impact across the Maps organization.

Description

We are looking for a mix of management experience and technical skills. In this role, you will: - Provide clear feedback and guidance to your team to enable the development of new leaders - Guide teams in the development of online and offline metrics - Focus your teams to innovate in new analysis methodologies and opportunity analysis in order to drive meaningful product improvements - Own relationships with cross-functional partners in engineering, project management, product management, data quality, and design - Build team capabilities (through hiring, training, tool development, and process innovation) that enable reproducible and understandable data-driven decision-making. Become a trusted expert within the Maps organization - Recruit, hire, and grow people who have both the technical depth and the soft skills to succeed in a highly collaborative and innovative environment - Influence the roadmap of partners and collaborators using actionable insights and data intuition

• Experience building and driving a data-driven culture, with hands-on experience in data science, data analysis, data-informed product innovation, and experimentation.
• Strong analytical product intuition; able to use data to guide user experience and product development. Experience with the definition and development of both user instrumentation and metrics, along with A/B experimentation
• MS/PhD in Computer Science, Statistics, Physics, Operations Research, Psychology, or similar quantitative domain
• Proficient in at least one programming language (e.g., Python, Scala, Java)
• Proficient in SQL
• Track record of managerial excellence around recruiting diverse talent, growing and scaling analytics organizations, and coaching/mentoring team members to level up their own skills
• Ability to manage complex cross-functional relationships. Experience partnering closely with engineering teams
• Outstanding written and verbal communication, and excellent presentation skills to all levels of an organization

• 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
• Prior experience with point of interest related products and metrics

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 $173,100 and $301,400, 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.