Apple
Machine Learning Manager - Apple Ads
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 sizesfrom small app developers to big, global brands. Because when advertising is done right, it benefits everyone! Description
The Data Insights team within Apple Ads is seeking a forward-thinking and endlessly curious data expert to lead our Data Science team that support the organization. The Data Science Manager will be responsible for leading a team that turns the huge amounts of data generated by user searches, app metadata, and App Store content into business insights that improve the customer experience for the end-user as well as drive discovery and productivity for app developers. We are seeking a self-motivated leader that will not only deliver on near-term plans but also contribute and define a longer term vision for our team and Apple Ads. This role will involve working with Internet-scale data across numerous product and customer touch points, undertaking in-depth quantitative analysis, reporting, and building models to drive strategy. The team's culture is focused on rapid iteration with open feedback and debate along the way, plus strong collaboration with product, engineering, business, and marketing partners. You will have experience hiring and leading advanced analytical teams that deliver impactful statistical reporting while also create insights via pattern mining, anomaly detection, modeling, classification, and optimization. Successful candidates will take pride in implementing and sustaining end-to-end analytical solutions that have direct and measurable impact. The role requires both a broad knowledge of existing data mining algorithms and creativity to invent and customize when needed. Minimum Qualifications
7-10 years of experience leading analytics, reporting, and/or data science teams. 3+ years in digital advertising and performance-based platforms. Experience in sophisticated quantitative methods and model development with a strong focus in exploratory data science. Must include experience with regression, classification, clustering, and time-series analyses. Strong understanding of statistical theory and applications. Well-rounded individual who can write code to query and transform both unstructured and structured dataacting as a mentor to your team in these areaswhile not afraid to dig in and get into the details. Programming skills in Python and SQL. Familiarity with sophisticated analytics and data visualization tools such as Pandas, R, Spark, and Tableau. Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles. Ability to guide and lead analysis and model development efforts across teams of data scientists and data engineers. Seamlessly with product managers and other collaborators. Have a strategic approach with the ability to condense sophisticated concepts, analysis, and models into practical, growth marketing data products and strategies that will propel Apple's digital advertising businesses. Demonstrated eye for business; ability to understand and anticipate the decisions stakeholders must make supported by data. Ability to produce and communicate data insights that translate into substantial business impact. Excellent communication, collaboration, stakeholder management, and planning skills; shown success building consensus for an innovative and bold vision. Ability to work effectively with engineering partners to meet the data needs of the business, translating business needs into analytical requirements. Familiarity with digital, performance-based marketing platforms Masters in a quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience 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 $198,300 and $342,800, 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. 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.
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 sizesfrom small app developers to big, global brands. Because when advertising is done right, it benefits everyone! Description
The Data Insights team within Apple Ads is seeking a forward-thinking and endlessly curious data expert to lead our Data Science team that support the organization. The Data Science Manager will be responsible for leading a team that turns the huge amounts of data generated by user searches, app metadata, and App Store content into business insights that improve the customer experience for the end-user as well as drive discovery and productivity for app developers. We are seeking a self-motivated leader that will not only deliver on near-term plans but also contribute and define a longer term vision for our team and Apple Ads. This role will involve working with Internet-scale data across numerous product and customer touch points, undertaking in-depth quantitative analysis, reporting, and building models to drive strategy. The team's culture is focused on rapid iteration with open feedback and debate along the way, plus strong collaboration with product, engineering, business, and marketing partners. You will have experience hiring and leading advanced analytical teams that deliver impactful statistical reporting while also create insights via pattern mining, anomaly detection, modeling, classification, and optimization. Successful candidates will take pride in implementing and sustaining end-to-end analytical solutions that have direct and measurable impact. The role requires both a broad knowledge of existing data mining algorithms and creativity to invent and customize when needed. Minimum Qualifications
7-10 years of experience leading analytics, reporting, and/or data science teams. 3+ years in digital advertising and performance-based platforms. Experience in sophisticated quantitative methods and model development with a strong focus in exploratory data science. Must include experience with regression, classification, clustering, and time-series analyses. Strong understanding of statistical theory and applications. Well-rounded individual who can write code to query and transform both unstructured and structured dataacting as a mentor to your team in these areaswhile not afraid to dig in and get into the details. Programming skills in Python and SQL. Familiarity with sophisticated analytics and data visualization tools such as Pandas, R, Spark, and Tableau. Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles. Ability to guide and lead analysis and model development efforts across teams of data scientists and data engineers. Seamlessly with product managers and other collaborators. Have a strategic approach with the ability to condense sophisticated concepts, analysis, and models into practical, growth marketing data products and strategies that will propel Apple's digital advertising businesses. Demonstrated eye for business; ability to understand and anticipate the decisions stakeholders must make supported by data. Ability to produce and communicate data insights that translate into substantial business impact. Excellent communication, collaboration, stakeholder management, and planning skills; shown success building consensus for an innovative and bold vision. Ability to work effectively with engineering partners to meet the data needs of the business, translating business needs into analytical requirements. Familiarity with digital, performance-based marketing platforms Masters in a quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience 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 $198,300 and $342,800, 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. 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.