Data Scientist, Ads Sales Analytics

Overview

USD 165,500.00 - 248,700.00 per year
Full Time

Skills

Sales
Customer Experience
ADS
MLS
PASS
Privacy
Dashboard
International Sales
Sales Strategy
FOCUS
Advertising
Data Quality
Business Intelligence
Data Visualization
Reporting
Analytics
Fluency
SQL
Python
Database
Data Science
Statistics
Economics
Computer Science
Digital Marketing
A/B Testing
Analytical Skill
Ideation
Communication
Payments

Job Details

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.

Description A successful candidate will have deep experience in applied analytical methods, experience building reporting dashboards, and using those methods and tools to drive key business insights. The role requires both a broad knowledge of existing data science techniques and strong business insight. You'll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary. - Drive the generation of insights and identify trends from large, complex data in support of our global sales organization - Support the rollout of sales strategies by building foundational data sets and analyses, incorporating a focus on measuring outcomes and success - Partner cross-functionally within Advertising Platforms to ensure proper data quality, availability and governance - Build and enhance internal business intelligence, data visualization and reporting capabilities

Minimum Qualifications
  • Education requirement: BS in data science, statistics, economics, computer science or other quantitative field
  • 5+ years of relevant industry experience using analytics to solve business problems
  • Fluency with SQL and Python for coding, database querying and conducting statistical analysis

Preferred Qualifications
  • Advanced education degree in data science, statistics, economics, computer science or other quantitative field
  • Experience in digital advertising
  • Experience with A/B testing, causal inference and incrementality measurement
  • Strong track record of solving complex analytical problems and positively influencing business outcomes, from leading the ideation to a proof-of-concept project to the launch of strategy
  • Exceptional written and verbal communication skills with experience building stories and narratives out of data

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 $165,500 and $248,700, 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.