Senior Marketing Data Scientist
SupportFinity™, Cupertino, CA, United States
Summary
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award‑winning shows and movies, immersive music in spatial audio, world‑class workouts and meditations, super fun games and more.
Description
Partner with Business and Engineering to define data collection, reporting requirements, metrics, and aggregates for analysis, ETLs, reporting, experimentation and machine learning.
Investigate large‑scale data to uncover trends and identify key insights that will propel marketing strategies.
Determine marketing's incremental effect on our App Store business, primarily through paid channels. Build datasets and automated dashboards to monitor channel and campaign performance.
Help design marketing campaign touchpoint along customer journey and optimize engagement.
Develop effective attribution logic that serve as benchmarks for optimization.
Build datasets and automated dashboards to monitor channel and campaign performance.
Provide ad‑hoc analysis and support for tentpole campaigns.
Establish propensity models to refine campaign audience selection.
Explore applying cutting‑edge generative AI technologies to drive increased business value.
Collaborate with Business, Marketing, Finance, and Executive teams to generate regular presentations for C‑level executives.
Partner with other Apple organizations on data gathering, data governance, evangelizing key performance indicators and democratizing data.
Minimum Qualifications
4+ years of demonstrated ability in a Data Scientist or Data Analyst role, preferably for a digital media, MarTech, digital subscription business, or technology business
Strong proficiency with SQL, Python or R
4+ years applied experience in building sophisticated datasets that enable data science and BI. Experience working with structured and unstructured data stored in distributed file systems
Solid experience working in marketing campaign measurement for both paid and non‑paid campaigns
Experience with standard marketing data science analysis to include experimental design, linear regression, clustering, survival, and quasi‑causal analysis
Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action
Bachelor’s degree in Computer Science, Economics, Engineering, Mathematics, Data Science, Statistics or equivalent professional experience
Preferred Qualifications
Experience in a digital subscription business or large‑scale e‑commerce platform
Skilled at measuring advertising value through causal inference techniques
Advanced degree in a related field preferred
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 $172,100 and $305,600, 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.
Equal Opportunity Employer Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
Apple accepts applications to this posting on an ongoing basis.
Job code: EX-BECDC503
Job type: Full‑time
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Description
Partner with Business and Engineering to define data collection, reporting requirements, metrics, and aggregates for analysis, ETLs, reporting, experimentation and machine learning.
Investigate large‑scale data to uncover trends and identify key insights that will propel marketing strategies.
Determine marketing's incremental effect on our App Store business, primarily through paid channels. Build datasets and automated dashboards to monitor channel and campaign performance.
Help design marketing campaign touchpoint along customer journey and optimize engagement.
Develop effective attribution logic that serve as benchmarks for optimization.
Build datasets and automated dashboards to monitor channel and campaign performance.
Provide ad‑hoc analysis and support for tentpole campaigns.
Establish propensity models to refine campaign audience selection.
Explore applying cutting‑edge generative AI technologies to drive increased business value.
Collaborate with Business, Marketing, Finance, and Executive teams to generate regular presentations for C‑level executives.
Partner with other Apple organizations on data gathering, data governance, evangelizing key performance indicators and democratizing data.
Minimum Qualifications
4+ years of demonstrated ability in a Data Scientist or Data Analyst role, preferably for a digital media, MarTech, digital subscription business, or technology business
Strong proficiency with SQL, Python or R
4+ years applied experience in building sophisticated datasets that enable data science and BI. Experience working with structured and unstructured data stored in distributed file systems
Solid experience working in marketing campaign measurement for both paid and non‑paid campaigns
Experience with standard marketing data science analysis to include experimental design, linear regression, clustering, survival, and quasi‑causal analysis
Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action
Bachelor’s degree in Computer Science, Economics, Engineering, Mathematics, Data Science, Statistics or equivalent professional experience
Preferred Qualifications
Experience in a digital subscription business or large‑scale e‑commerce platform
Skilled at measuring advertising value through causal inference techniques
Advanced degree in a related field preferred
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 $172,100 and $305,600, 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.
Equal Opportunity Employer Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
Apple accepts applications to this posting on an ongoing basis.
Job code: EX-BECDC503
Job type: Full‑time
#J-18808-Ljbffr