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 sizes-from 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. - Apply best-in-class modeling and analytics techniques to enable rapid insights' discovery for multiple business, cross functional teams and Senior Leadership Team (SLT) - Lead analysis of business metrics, their interactions, and framework design on deep dive investigations. Monitor usage metrics, provide business-based explanations for large scale trends and patterns. - Lead creation of self-serve analytics tools and data products to enable insights discovery at lightning speed and scale. - Automate and scale existing analysis methods. Institute innovative approaches on modeling and analysis frameworks. - Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance and greater customer satisfaction. - Guide analytics on platform health, marketplace health, auction performance to drive product design strategies. Propose GTM and product changes backed by insights. - Statistical analysis, model development and visualization of data to help understand how developers use Search Ads for app promotion. - Hire and develop leading talent with tried, relevant data science skills. Empower and ensure success for the team by defining roles and responsibilities that are clearly communicated, define and share a strategic vision for the function, established processes, and develop personal development plans. - Empower global business teams with insights to advise and fulfill strategic objectives and goals.

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 data-acting as a mentor to your team in these areas-while 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

Preferred Qualifications

• PhD 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 $190,700 and $329,600, 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 .