Data Science Manager, Maps POI Evaluation
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.
Preferred Qualifications
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
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Prior experience with point of interest related products and metrics
Minimum Qualifications
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
1-3 years of management experience
Proficient in Python and 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
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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