Job Opportunities in United States
September 17, 2024
Apple
Cupertino
FULL TIME
Data Scientist - Product Marketing and Customer Analytics
Summary
Posted: Jul 17, 2024
Weekly Hours: 40
Role Number:200555652
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 i Phone, i Pad, Mac, i Pod, Apple TV, Apple Watch, and the intersection of customer product and services engagement. Work cross-functionally with i Tunes, i Cloud, Sales, Retail, Apple Online Store, Apple Care 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.
Preferred Qualifications
Pay & Benefits
More
Posted: Jul 17, 2024
Weekly Hours: 40
Role Number:200555652
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 i Phone, i Pad, Mac, i Pod, Apple TV, Apple Watch, and the intersection of customer product and services engagement. Work cross-functionally with i Tunes, i Cloud, Sales, Retail, Apple Online Store, Apple Care 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.
- 5+ years of industry experience building data science driven solutions to solve business problems.
- 3+ years of hands-on coding skills (Python, R, and/or Spark) processing large-scale data, deriving key insights, developing machine learning models on structured and unstructured data, and maintaining production machine learning pipelines that are part of a production-type analytic solution
- Bachelors degree required in Business (with quantitative emphasis), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or related field
Preferred Qualifications
- Solid technical database and data modeling knowledge (Oracle, Hadoop, Snow Flake), 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
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’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.
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