Apple Customer Support Remote Jobs
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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 ad hoc analyses, data mining, and predictive analytics to provide strategic and tactical insights related to the dynamic 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 convergence of customer product and services engagement.
Collaborate cross-functionally with iTunes, iCloud, Sales, Retail, Apple 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 all 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 unstructured data, and maintaining production ML pipelines as part of a production-type analytical solution.
Bachelors degree in Business (with quantitative emphasis), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or related field.
Preferred Qualifications:
Strong technical database and data modeling knowledge (Oracle, Hadoop, Snowflake), 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 develop 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 Apple, base salary is just one part of our total compensation package, which is determined within a range. This allows for progression as you grow and develop within the role. The base salary range for this position is competitive and will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become Apple shareholders through participation in Apple's discretionary employee stock programs. 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 reimbursement for certain educational expenses related to advancing your career at Apple. Additionally, this role may be eligible for discretionary bonuses or commission payments as well as relocation
Apply Now
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 ad hoc analyses, data mining, and predictive analytics to provide strategic and tactical insights related to the dynamic 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 convergence of customer product and services engagement.
Collaborate cross-functionally with iTunes, iCloud, Sales, Retail, Apple 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 all 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 unstructured data, and maintaining production ML pipelines as part of a production-type analytical solution.
Bachelors degree in Business (with quantitative emphasis), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or related field.
Preferred Qualifications:
Strong technical database and data modeling knowledge (Oracle, Hadoop, Snowflake), 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 develop 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 Apple, base salary is just one part of our total compensation package, which is determined within a range. This allows for progression as you grow and develop within the role. The base salary range for this position is competitive and will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become Apple shareholders through participation in Apple's discretionary employee stock programs. 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 reimbursement for certain educational expenses related to advancing your career at Apple. Additionally, this role may be eligible for discretionary bonuses or commission payments as well as relocation
Apply Now