Data Science Manager, Maps POI Evaluation

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...

• 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
• 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

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary restricted stock unit awards
• Employee Stock Purchase Plan
• Discretionary bonuses or commission payments
• Relocation assistance

Apple is committed to using data to understand the voice of our users, at scale, while building the best and most privacy-aware Map in the world