App Store Senior Marketing Data Scientist

Apple Inc

Culver City, CA

JOB DETAILS
SKILLS
A/B Testing, Advertising, Analysis Skills, Apple, Artificial Intelligence (AI), Benchmarking, Business Intelligence, C-Level Management, Campaigns, Computer Science, Data Analysis, Data Collection, Data Science, Data Sets, Digital Media, Distributed Computing, Economics, Experiment Design, Film, Finance, Financial Analysis, LifeTime Value (LTV), Machine Learning, Marketing, Marketing Campaign, Marketing Strategy, Mathematics, Metrics, Music, Outbound Marketing, Performance Metrics, Predictive Modeling, Product Engineering, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, Revenue Growth, SQL (Structured Query Language), Statistics, Structured Data, Trend Analysis, Unstructured Data, eCommerce
LOCATION
Culver City, CA
POSTED
30+ days ago

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.

The Apple Media Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.

We are currently seeking an experienced data scientist who is passionate about motivating change at the intersection of data and marketing. As a Marketing Data Scientist for Apple Services, you will help drive growth in media services and evolve our marketing programs through attribution, causal inference, A/B testing, and LTV prediction modeling. Your work will directly influence Services strategy for driving engagement and revenue growth.

As a key member of our diverse and dynamic organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. You'll work collaboratively with partners across Business, Marketing, Product, and Engineering daily to deliver material customer and business value.

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.

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

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

About the Company

A

Apple Inc

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs