{"title": "Data Scientist - Product Marketing and Customer Analytics", "summary": "At Apple, new ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!  The Product Marketing Customer Analytics team is seeking a Sr. Data Scientist with deep technical and consultative experience in business analytics and analytic engineering.", "description": "Support Product Marketing, Investor Relations, and the Executive Team with analytics for customer product and services engagement. Conduct regular and ad-hoc analyses, data mining and predictive analytics to provide leadership with actionable insights at tactical and strategic levels related to the active customer and device install base. Consult and support Product Marketing business analysts with insights and recommendations for iPhone, iPad, Mac, iPod, Apple TV, Apple Watch, and the intersection of customer product and services engagement. Work cross-functionally with iTunes, iCloud, Sales, Retail, Apple Online Store, AppleCare and Services teams on collaborative customer analytic projects. Conceive and design end-to-end optimized data modeling pipelines and customer analytic scripted solutions using Python and/or Spark. Manage data science projects through all phases, including data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization.", "key_qualifications": "N/A", "preferred_qualifications": "Solid technical database and data modeling knowledge (Oracle, Hadoop, SnowFlake), and experience optimizing SQL queries on large dataset. 3+ years of experience working with Tableau or other data visualization technologies. Outstanding written, verbal, and presentation skills with the ability to develop and present conclusions and recommendation to senior executives. Able to work effectively on sometimes ambiguous data and constructs within a fast-changing environment, tight deadlines and priority changes. Excellent understanding of analytical methods and machine learning algorithms including regression, clustering, classification, optimization, regularization, dimensionality reduction and other advanced analytic techniques. Team player who enjoys collaborating with others", "education_experience": "N/A", "additional_requirements": "N/A", "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 $165,500 and $248,700, 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\u2019s 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\u2019s Employee Stock Purchase Plan. You\u2019ll 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 \u2014 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.", "company": "apple"}