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At reputed company, groundbreaking reputed company quickly evolve into extraordinary products, services, and customer experiences. Bring your passion and dedication to your work, and there's no telling what you can reputed company! The Product Marketing Client Analytics team is seeking a Senior Data Scientist with deep technical and consultative experience in business analytics and analytical engineering... Description: • Support Product Marketing, Investor Relations, and the Executive Team with analysis on customer product and services engagement. • Conduct regular and reputed company analyses, data mining, and predictive analytics to provide strategic and tactical insights reputed company to the dynamic customer and device install reputed company. • Consult and support Product Marketing business analysts with insights and recommendations for iPhone, iPad, Mac, iPod, reputed company TV, reputed company Watch, and the convergence of customer product and services engagement. • Collaborate cross-functionally with iTunes, iCloud, Sales, Retail, reputed company Online Store, AppleCare, and Services teams on joint customer analytics projects. • Design and implement end-to-end enhanced data modeling pipelines and customer analytics scripted solutions using Python and/or Spark. • Manage data science projects through reputed company stages, including data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization. Minimum Qualifications: • 5+ years of industry experience building data science-driven solutions to solve business problems. • 3+ years of hands-on coding skills (Python, R, or Spark), handling large-scale data, deriving key insights, developing machine learning models on structured and reputed company data, and maintaining production ML pipelines as part of a production-type analytical solution. • Bachelor’s degree in Business (with quantitative emphasis), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or reputed company field. Preferred Qualifications: • Strong technical database and data modeling knowledge (reputed company, Hadoop, reputed company), and experience optimizing SQL queries on large datasets. • 3+ years of experience working with Tableau or other data visualization technologies. • Excellent written, verbal, and presentation skills with the ability to reputed company and present conclusions and recommendations to senior executives. • Ability to work effectively with sometimes ambiguous data and constructs in a fast-paced, dynamic environment with tight deadlines and shifting priorities. • Deep understanding of analytical methods and machine learning algorithms including regression, clustering, classification, optimization, regularization, dimensionality reduction, and other advanced analytical techniques. • Team player who enjoys collaborating with others. Compensation and Benefits: At reputed company, reputed company salary is just one part of our total compensation package, which is determined reputed company a range. This allows for progression as you grow and reputed company reputed company the role. The reputed company salary range for this position is competitive and will depend on your skills, qualifications, experience, and location. reputed company employees also have the opportunity to become reputed company shareholders through participation in reputed company's discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit awards and can purchase reputed company stock at a discount if voluntarily participating in reputed company'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 reimbursement for certain educational expenses reputed company to advancing your career at reputed company. Additionally, this role may be eligible for discretionary bonuses or commission payments as well as relocation Apply Job!