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Marketing jobs

8 marketing jobs

6 months ago

Senior Marketing Data Scientist

Apple

Culver City, CA (On-site)Full time

6 months ago

iCloud Growth Marketing Manager

Apple

Cupertino, CA (On-site)Full time

6 months ago

Content Strategy & Programming Manager

Apple

Culver City, CA (On-site)Full time

6 months ago

Community Specialist, Channel Retail

Apple

Fort Worth, TX (On-site)Full time

6 months ago

Growth Accounts - Associate Client Strategist

Apple

Culver City, CA (On-site)Full time

6 months ago

Investments, Planning and Insights Manager, ASO MarTech and Operations

Apple

Culver City, CA (On-site)Full time

6 months ago

Social Creative Lead

Apple

Los Angeles, CA (On-site)Full time

6 months ago

Manager, Communications

Xxx

Fort Myers, FL (On-site)Temporary

All marketing roles in the US

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All marketing roles in the US

Get alerts for this search

8 jobs

Senior Marketing Data Scientist

Apple

Culver City, CA (On-site)

In-houseFull-timeSenior level4+ years exp.

6 months ago

iCloud Growth Marketing Manager

Apple

Cupertino, CA (On-site)

In-houseFull-timeMid level5+ years exp.

6 months ago

Content Strategy & Programming Manager

Apple

Culver City, CA (On-site)

In-houseFull-timeSenior level3+ years exp.

6 months ago

Community Specialist, Channel Retail

Apple

Fort Worth, TX (On-site)

In-houseFull-timeEntry level1+ years exp.

6 months ago

Growth Accounts - Associate Client Strategist

Apple

Culver City, CA (On-site)

In-houseFull-timeEntry level2+ years exp.

6 months ago

Investments, Planning and Insights Manager, ASO MarTech and Operations

Apple

Culver City, CA (On-site)

In-houseFull-timeManager7+ years exp.

6 months ago

Social Creative Lead

Apple

Los Angeles, CA (On-site)

In-houseFull-timeMid level12+ years exp.

6 months ago

Manager, Communications

Xxx

Fort Myers, FL (On-site)

In-houseTemporaryManager2+ years exp.

6 months ago

Apple

Senior Marketing Data Scientist

Culver City, CA (On-site)

Salary Not AvailableSenior Level4+ years expFull time

Posted 6 months ago

Job Summary

Drive data science and analytics for Apple Services marketing, turning data into actionable attribution and optimization across campaigns.

Own building datasets, ETLs, dashboards, and attribution benchmarks to measure marketing impact.
Must-have: 4+ years in data science/analytics with SQL and Python or R and marketing measurement experience.
Standout: Experience applying advanced analytics and AI-driven approaches to marketing decisions.

Job Description

Responsibilities

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.
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.

Requirements

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 files 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
Bachelors degree in Computer Science, Economics, Engineering, Mathematics, Data Science, Statistics or equivalent professional experience
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 files systems

Preferred

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

Apple

xxxx

Founded in 2021

Cupertino, California, USA

1.6K employees (59 in marketing)

apple.com

Marketing Team

Marketing Team Size

23 (1% of company)

Traffic Signals

Monthly Visitors

530.1M

Monthly Google Ads Budget

$3.6M

Traffic Source Mix

40.3%

Direct

45.4%

Referral

11.7%

Social

1.3%

Paid

1.1%

Headcount Trend

Current headcount: ~1.6K

Recent News

Controversial XXX game pulled from Steam after backlash

Apr 18, 2025 • BusinessMirror

Links

apple.com

Crunchbase

Responsibilities

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.
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.

Requirements

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 files 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
Bachelors degree in Computer Science, Economics, Engineering, Mathematics, Data Science, Statistics or equivalent professional experience
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 files systems

Preferred

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