Apple
Data Scientist, Ads Sales Analytics
Apple, Austin, Texas, us, 78716
Data Scientist, Ads Sales Analytics
Austin,Texas,United States
Marketing
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in Apple News and Search Ads in App Store. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Launched in 2016, Search Ads is an easy, efficient and fast-growing platform for app discovery. With over 65% of all app downloads resulting directly from a search in the App Store, Search Ads is quickly becoming the app promotion platform of choice for iOS developers. We are looking for an experienced and passionate Data Scientist to support our growing advertising business. In this role, you will work within our Advertising Platforms Sales Operations team to support and empower the sales organization by building impactful analyses and insights. You’ll help us architect complex but practical insights, establish strategies/priorities based on empirical observations and measure success.
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
Key Qualifications
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
Education & Experience
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Austin,Texas,United States
Marketing
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in Apple News and Search Ads in App Store. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Launched in 2016, Search Ads is an easy, efficient and fast-growing platform for app discovery. With over 65% of all app downloads resulting directly from a search in the App Store, Search Ads is quickly becoming the app promotion platform of choice for iOS developers. We are looking for an experienced and passionate Data Scientist to support our growing advertising business. In this role, you will work within our Advertising Platforms Sales Operations team to support and empower the sales organization by building impactful analyses and insights. You’ll help us architect complex but practical insights, establish strategies/priorities based on empirical observations and measure success.
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
Key Qualifications
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
Education & Experience
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .