Summary
Posted: Sep 12, 2024
Weekly Hours: 40
Role Number:200567599
At Apple, you'll accomplish truly phenomenal things. The SWE Data Science team analyzes and produces insights from diagnostic and usage data from hundreds of millions of devices every day from all over the world. We're seeking an experienced and passionate Manager for our Data Science Team, who are dedicated to harnessing the power of data science to drive innovation and tackle complex problems while prioritizing user privacy. If you have a passion for impactful insights from real world data, developing a team of bright data scientists, and are dedicated to improving customer experience, join us!
Description
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As the Manager of the SWE Data Science team, you will oversee the team's efforts to collect, analyze, and interpret vast amounts of data while ensuring compliance with relevant regulations (e.g., GDPR, DMA) and company policies. The insights are used to improve Apple's products and services, to inform strategic directions, and to improve user experience. We are a fast-pace and high-functioning team of Data Scientists that use the latest Big Data technologies to tackle complex, large-scale problems using immense quantities of collected data. This team works closely with core operating system, application development, and other cross-functional teams across Apple's platforms. The ideal candidate is someone who is comfortable working in an exciting environment with rapidly changing priorities while fostering a culture of innovation within the team by encouraging experimentation, diverse perspectives, learning from failure, and continuous improvement. We work collaboratively to improve our software and customer experience, and we have fun while doing it!
- BS in Statistics, Data Mining, Machine Learning, Analytics, Applied Math, Computer
- 2+ years management experience leading Data Analytics teams
- Track record of ensuring high levels of team and customer success and satisfaction, ideally in the area of Big Data
- Ability to develop team members to achieve their professional goals while committing to diversity and equity
- Technical proficiency in advanced statistics, modeling knowledge, data visualization (e.g., Tableau), relational databases, and/or Python.
- Experience with applying Big Data technologies (e.g., MapReduce, Hadoop, Spark) to large quantities of data
Preferred Qualifications
- Excellent written and verbal skills
- Detail-oriented, strong analytical and problem-solving skills
- Experience leading and managing a team in a cross-functional environment a plus
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 $219,300 and $329,600, 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.
More
- 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.