Data Scientist, Apple Services Digital Marketing

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. You bring passion and dedication to your job and there's no telling what you could accomplish.

We're seeking a data scientist.

Description

Apple is seeking a data scientist to work on the Apple Services Digital Marketing team to help us understand public consumer feedback at scale, excavate insights to optimize our marketing and products, and monitor external brand relevancy. This person must have a deep understanding of statistics, machine learning techniques, digital marketing data and NLP to identify actionable insights and have the ability to successfully evangelize, educate, and enable within a very large organization.

Responsibilities

• Build and maintain data driven optimization models, experiments, forecasting algorithms and machine learning models to better campaign performance, identify trends and optimize strategy.
• Provide causal analysis to evaluate the impact of various marketing initiatives, including both organic and paid placements.
• Design and continuously improve models that measure upper and mid-funnel marketing impact, integrating multiple metrics and diverse data sources in both structured and unstructured formats.
• Collaborate with cross-functional teams to propose solutions that address business problems.
• Assess business needs and translate model outputs into tangible and actionable insights and reports for both marketing and product teams.
  
  

Minimum Qualifications

• Bachelor’s degree with 3 years of experience in the data science field, or a Master’s degree in Data Science, Computer Science, or a related field with 2 years of experience.
• Strong foundation in probability and statistics.
• Proficiency in SQL and Python or R to work with large data sets.
• Knowledge around supervised and unsupervised machine learning algorithms (regression, classification, clustering, decision trees, neural networks, etc).
• Understanding of digital marketing data and KPIs, including Social, SEO, and Paid Media.
• Ability to both solve problems with an analytical mind set and clearly explain findings and methodologies to technical and creative teams.
  
  

Preferred Qualifications

• Familiarity with marketing measurement frameworks such as marketing mix modeling and attribution models.
• Ability to partner and communicate effectively with cross-functional teams across marketing and engineering functions.
• Proficiency in code collaboration /version control systems (e.g., Git, Github, GitLab).
  
  

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 $141,800 and $213,700, 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.

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.