At Apple, great ideas have a way of becoming great products, services, and customer experiences. If you are a self-motivated, high-energy individual who is not afraid of challenges, we&#x27;re looking for you. &lt;br /&gt;Apple is seeking an Audio Business Data Science Manager to join a team passionate about Apples audio services as a part of the Apple Media Products (AMP) Data Science &amp; Analytics organization. &lt;br /&gt;This role provides the opportunity to work with Apples Audio services covering Apple Music, Apple Podcasts, iTunes Music, and Beats by Dre. A successful candidate will help drive growth across these services and headphones businesses by using data science and analytic insights to evolve our 1st party services and audio platform. Specifically, this role will help manage the health of the businesses and grow our consumer base by evaluating various initiatives plus partnering with business, finance, product and R&amp;D teams on strategic opportunities. &lt;br /&gt;The team&#x27;s culture centers around rapid iteration with open feedback and debate along the way, plus strong collaboration with business, product, and engineering partners. We encourage independent decision-making and taking smart risks. &lt;br /&gt;As an organization, AMP Data Science &amp; Analytics collaborates with executives and various stakeholders across business, product, design, engineering, and marketing teams. Our mission is to drive innovation at Apple through in-depth quantitive research of the App Store, Apple Music, Apple TV, Apple Fitness, Apple One, and other services.&lt;br&gt;&lt;br&gt;&lt;span&gt;Establish a center of excellence for the Audio Business Data Science team by uncovering business-actionable insights in collaboration with the Apple Music, Podcasts, and Beats teams&lt;br /&gt;Oversee large complex projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives&lt;br /&gt;Establish, enhance, and socialize top line and operational metrics that accurately represent the business state of health&lt;br /&gt;Lead proactive analyses that identify key drivers of business health metrics, and make recommendations that optimize overall business performance&lt;br /&gt;Drive the develop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower Audio business stakeholders&lt;br /&gt;Draft schema and instrumentation requirements to enrich core datasets for new business features and Audio product launches&lt;br /&gt;Measure the impact of growth initiatives for the Apple Music subscription business by maximizing user acquisition, conversion, and retention though improved user experience, marketing offers, and business development partnerships&lt;br /&gt;Expand the recently-launched Podcasts subscriptions platform by identifying successful monetization initiatives that grow both content creators and consumers&lt;br /&gt;Establish top line metrics for the Beats consumer products business including understanding and leveraging relationships among sales, price, distribution, and media marketing&lt;br /&gt;Develop, recruit, and train a diverse team of high-performing data scientists focused on uncovering insights from large-scale data across the audio businesses&lt;/span&gt;

Audio Business Data Science Manager - Cupertino

The AMP Data Science &amp; Analytics team is seeking a self-starting Program Manager with excellent social skills, who is adept at running technical projects involving many partners within a complex organization. The AMP DS&amp;A PM will support the Lead Program Manager in successfully delivering a portfolio of projects, while promoting effective communication, producing documentation, and improving PMO processes. &lt;br /&gt;The ideal candidate has 5+ years of experience with project management, ideally working with Big Data, analytics, data governance and/or data pipelines.&lt;br&gt;&lt;br&gt;&lt;span&gt;Data Science &amp; Analytics Project Execution&lt;br /&gt;&lt;br /&gt;Drive transparency and common understanding by effectively centralizing and standardizing project information.&lt;br /&gt;&lt;br /&gt;Develop and execute against holistic plans to proactively unblock inaction and risks.&lt;br /&gt;&lt;br /&gt;Ensure information is cascaded to the right audiences with the appropriate priority in Slack, email and meetings.&lt;br /&gt;&lt;br /&gt;Support the lead program manager and leadership in internal initiatives to scale the PMO, such as building templates for project plans, project meetings, key project activities such as testing, etc.&lt;br /&gt;&lt;br /&gt;Become a specialist in Apple PM tool stack. &lt;br /&gt;&lt;br /&gt;Take full ownership of delegated work and deliver with thoroughness and thoughtfulness.&lt;br /&gt;&lt;br /&gt;Demonstrate discretion and tact in attention to key details, issues and communications. &lt;br /&gt;&lt;br /&gt;Empower and encourage project teams and colleagues.&lt;/span&gt;

Technical Program Manager - AMP Data Science & Analytics - Cupertino

Audio Business Data Science Manager - Culver City

At Apple, phenomenal ideas have a way of becoming extraordinary products, services, and customer experiences. Bring passion and dedication to your job and there&#x27;s no telling what you could accomplish. Would you like to work in an energizing environment where your abilities will be challenged on a day-to-day basis? &lt;br /&gt;If you are passionate about innovating to deliver insights through large-scale data solutions, then Apples Global Business Intelligence Application Lead role is for you. Work with a team of committed Data Analytics professionals, applying your standout combination of intuition for business and technical knowledge. &lt;br /&gt;We lead enterprise data stores with petabytes of data, process billions of rows of data in batch and real-time to provide solutions to our users helping them gain insight and to make informed business decisions. The Global Business Intelligence team provides data services, analytics, reporting and data science solutions to Apples business groups including Retail, iTunes, Marketing, AppleCare, Operations, Finance and Sales. We use diverse technology stacks such as Teradata, HANA, Hadoop, Spark, Cassandra and beyond. Crafting, developing and scaling these Big Data technologies is a core part of our daily job.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will be responsible for ownership of one or more applications. You will work with business partners to understand their goals and requirements and will define application features and strategic roadmaps to meet those needs, in addition, you will be encouraged to keep abreast of, and plan for, technology changes as applicable to your solution landscape and industry standard methodologies. You will have overall ownership of application features and will drive engineering teams in building them. Apple is looking for an Application Lead to join our team. You will engage directly with key business partners to build positive relationships and understand their business strategies and solution needs. You will build and own solution roadmaps, and design and deliver high quality, scalable and resilient business solutions. You will need to translate complex business requirements into scalable technical solutions that meet these needs and are in line with the solution&#x27;s strategic roadmap. The BI Application Lead will lead a strong engineering team in building to the roadmap and delivering to quality focused development standards. You should have application delivery experience, and be equally relaxed working with the business and driving technical design discussions. You should be passionate about data and its nuances.&lt;/span&gt;

Application Lead, Global Business Intelligence

Imagine working at Apple to create services that enrich peoples lives. Bring passion and dedication, and theres no telling what we could accomplish together! &lt;br /&gt;The AMP Data Science &amp; Analytics Team empowers services and business teams with data insights. We are responsible for generating critical metrics for all Apple Media Products, such as Appstore, Arcade, Fitness+, Apple Music, News+, and TV+. &lt;br /&gt;We are looking for a passionate and results-oriented Data Governance Analyst You will have opportunities to lead data governance for the AMP Data Science &amp; Analytics organization and work with data science and engineering partners on a daily basis.&lt;br&gt;&lt;br&gt;&lt;span&gt;We are seeking a Data Governance Manager with advanced hands-on design and delivery skills to lead data governance for the AMP Data Science &amp; Analytics organization. Having extensive knowledge and understanding of data science practices is a core competency of this individual. Understanding and navigating a rich and diverse data platforms and tooling landscape is key. Working with data scientists, data engineers, platform engineers, legal and privacy partners to define roadmaps and ensure delivery is a crucial element of the role. The role includes providing data governance leadership and mentorship to data scientists throughout the organization.&lt;/span&gt;

Data Governance Analyst - Cupertino

At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. If you are a self-motivated, high-energy individual who is not afraid of challenges, were looking for you. Apple is seeking a proven Technical Product Manager (TPM) to join the Apple Media Products Data Science team. &lt;br /&gt;The TPM plays a critical role in collaborating with engineering and data scientists to design, maintain, build or improve critical datasets from a multitude of sources. This role will involve working with internet-scale data across numerous product and customer touch points to drive initiatives that will make our data science organization more streamlined and productive. &lt;br /&gt;The teams culture is centered on rapid iteration with open feedback and debate along the way, plus tight-knit collaboration with data scientists, product, feature engineering and data engineering.&lt;br&gt;&lt;br&gt;&lt;span&gt;We are looking for a self-starting, upbeat individual with great communication skills that is passionate about managing and developing critical datasets that maximizes Data Science capabilities. If you have a passion for Apple Services (App Store, Apple One, iCloud, Music, TV+, Arcade, News, Fitness+, Podcasts and Books), it would be helpful!&lt;br /&gt;&lt;br /&gt;You will have a strong interest in driving large scale data products, engaging with key business partners involved, and driving key communications throughout the business.&lt;/span&gt;

Technical Product Manager, Data Science & Analytics, Apple Media Products - Cupertino

At Apple, we work every single day to build products that enrich peoples lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and visionary 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. We are seeking a self-motivated individual that will build out the next generation of our ads platforms. Projects range from generating algorithms that drive our auctions to building out recommendations (search keyword recommendation, bid and budget recommendations, etc.), insights and auto campaign management capabilities to help achieve advertiser goals. You will have the opportunity to develop models that improve our platform across the board, write production code to generate recommendations, work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning algorithms, ideally within the ads space. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a good team player under tight deadline constraints is key to success.&lt;br&gt;&lt;br&gt;&lt;span&gt;In this role you will drive step-change improvements in our outcomes, and formulate our approaches to greenfield product opportunities. You will work end-to-end to bring to bear the product capabilities that unlock those opportunities, from ideation and definition of research hypotheses, to leading execution working with other researchers and engineers. You will:&lt;br /&gt;&lt;br /&gt;-  Leverage diversity to fuel innovation&lt;br /&gt;&lt;br /&gt;-  Work on unusually complex technical problems, providing solutions that are highly innovative and ingenious, impacting Apple and/or industry&lt;br /&gt;&lt;br /&gt;-  Review state-of-the-art research relevant to problems the Ad Platforms Algorithms team is working on, and determine approaches to apply that research to our work&lt;br /&gt;&lt;br /&gt;-  Find opportunities to improve the capabilities we deliver in terms of revenue and profitability, performance, explainability, stability, robustness, etc.&lt;br /&gt;&lt;br /&gt;-  Work with team leadership to set research and development roadmap to deliver benefit to Ad Platforms, designing and suggesting improvements across multiple domains&lt;br /&gt;&lt;br /&gt;-  Participate and lead Apple internal Data Science &amp; Machine learning interest groups, meet ups, and conferences&lt;br /&gt;&lt;br /&gt;-  Communicate at all levels of the company, presenting hypotheses, proposals, and experimental results, and making valuable contributions to the discussion of such contributions from colleagues in internal, Apple wide, and external professional settings&lt;br /&gt;&lt;br /&gt;-  Take well-considered risks to find solutions to difficult technical problems&lt;br /&gt;&lt;br /&gt;-  Navigate across Apple, pulling in peers where needed and providing valuable expertise across the company&lt;/span&gt;

Sr. Machine Learning Engineer, Ad Platforms

Our Online Retail Decision Automation team is looking for passionate highly motivated, ambitious, and hands-on applied machine learning engineer to lead the way by researching and developing the next generation of algorithms used to drive the Apple Online experience. This spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), media assets generation and optimizing Apple-wide systems &amp; infrastructure. As a machine learning engineer, you will have the unique and rewarding opportunity to be part of a new projects and shape upcoming products that will delight and inspire millions of Apples customers every day.&lt;br&gt;&lt;br&gt;&lt;span&gt;As an applied machine learning engineer, you will conceptualize, design, and develop core algorithms that power our buy-flows and personalize the experience across the Apple Online Store. This includes developing production algorithms for search, recommendations and personalization, running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment. &lt;br /&gt;The team responsibilities include: model development and deployment on-device and web, developing back-end data pipelines, and producing automation processes for machine learning tasks. You will closely collaborate with other engineering teams (including Hardware, QA, Infrastructure) to ensure the solutions are meeting the highest quality standards.&lt;/span&gt;

Machine Learning Engineer - Online Retail Decision Automation

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. If you are an ambitious, hardworking individual who is not afraid of challenges, were looking for you. &lt;br /&gt;Apple is seeking an experienced Data Scientist who is passionate about motivating change through the intersection of data and experimentation. As a Senior Data Scientist on Experimentation, you will partner with partners and a growing &lt;br /&gt;Apple Media Products Data Science encourages independent decision-making and taking smart risks. Our culture is centered around rapid iteration with open feedback and debate along the way. We collaborate with partners across Marketing, Engineering, and Business teams: our mission is to drive innovation at Apple through deep quantitative research of the App Store, Apple Music, Apple TV, and Apple Arcade amongst other services.&lt;br&gt;&lt;br&gt;&lt;span&gt;Partner with business leaders and lead a growing team of Data Scientists to design, implement and analyze A/B test experiments intended to optimize customer experiences across Apples portfolio of services.&lt;br /&gt;&lt;br /&gt;Drive material improvements to signup funnel KPIs as well as customer lifecycle metrics through testing of campaigns spanning push notifications, badges, in-app sheets, banners and more.&lt;br /&gt;&lt;br /&gt;Apply statical rigor to readouts using methods of confidence testing and present experiment insights at executive levels  this is a role with high visibility. &lt;br /&gt;&lt;br /&gt;Build out foundational datasets to facilitate the automation of readouts in collaboration with Data Engineering and Business Intelligence.&lt;br /&gt;&lt;br /&gt;Evangelize A/B testing best practices across the organization.&lt;br /&gt;&lt;br /&gt;Craft the experimentation roadmap and future marketing channel/touchpoint integrations with data-driven prioritization.&lt;br /&gt;&lt;br /&gt;Collaborate with the ML Data Science team to incorporate machine learning models into campaigns and customer journeys plus measure their benefits.&lt;/span&gt;

Senior Marketing Experimentation Data Scientist

At Apple, great ideas have a way of becoming great products, services, and customer experiences. If you are a self-motivated, high-energy individual who is not afraid of challenges, we&#x27;re looking for you. &lt;br /&gt;Apple is seeking an Audio Business Data Science Manager to join a team passionate about Apples audio services as a part of the Apple Media Products (AMP) Data Science &amp; Analytics organization. &lt;br /&gt;This role provides the opportunity to work with Apples Audio services covering Apple Music, Apple Podcasts, iTunes Music, and Beats by Dre. A successful candidate will help drive growth across these services and headphones businesses by using data science and analytic insights to evolve our 1st party services and audio platform. Specifically, this role will help manage the health of the businesses and grow our consumer base by evaluating various initiatives plus partnering with business, finance, product and R&amp;D teams on strategic opportunities. &lt;br /&gt;The team&#x27;s culture centers around rapid iteration with open feedback and debate along the way, plus strong collaboration with business, product, and engineering partners. We encourage independent decision-making and taking smart risks. &lt;br /&gt;As an organization, AMP Data Science &amp; Analytics collaborates with executives and various stakeholders across business, product, design, engineering, and marketing teams. Our mission is to drive innovation at Apple through in-depth quantitive research of the App Store, Apple Music, Apple TV, Apple Fitness, Apple One, and other services.&lt;br&gt;&lt;br&gt;&lt;span&gt;Establish a center of excellence for the Video Business Data Science team by uncovering business-actionable insights in collaboration with the Video services teams for the Apple TV platform&lt;br /&gt;&lt;br /&gt;Lead all aspects of large complex projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives&lt;br /&gt;&lt;br /&gt;Establish, improve, and socialize top line and operational metrics that accurately represent the business state of health&lt;br /&gt;&lt;br /&gt;Lead proactive analyses that identify key drivers of business health metrics, and make recommendations that optimize overall business performance&lt;br /&gt;&lt;br /&gt;Develop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower Video business partners&lt;br /&gt;&lt;br /&gt;Measure the impact of growth initiatives for the Apple TV+ subscription business by improving user acquisition, conversion, and retention though improved user experience, marketing offers, and business development partnerships&lt;br /&gt;&lt;br /&gt;Identify key factors that lead to VOD and EST transactions including user demographics, historical behavior, viewing devices, and content consumption.&lt;br /&gt;&lt;br /&gt;Deepen and broaden relationships with 3rd party TV Channel partners, and develop methods of evaluating performance of the TV Channels platform&lt;br /&gt;&lt;br /&gt;Build a wholistic view of consumer behaviors across the Apple TV platform, and find opportunities that drive a more positive customer experience and engagement&lt;br /&gt;&lt;br /&gt;Develop, recruit, and train a complementary team of high-performing data scientists passionate about uncovering insights from large-scale data across the video businesses&lt;/span&gt;

At Apple, phenomenal ideas have a way of becoming extraordinary products, services, and customer experiences. Bring passion and dedication to your job and there&#x27;s no telling what you could accomplish. Would you like to work in an energizing environment where your abilities will be challenged on a day-to-day basis? &lt;br /&gt;If you are passionate about innovating to deliver insights through large-scale data solutions, then Apples Global Business Intelligence Application Lead role is for you. Work with a team of committed Data Analytics professionals, applying your standout combination of intuition for business and technical knowledge. &lt;br /&gt;We lead enterprise data stores with petabytes of data, process billions of rows of data in batch and real-time to provide solutions to our users helping them gain insight and to make informed business decisions. The Global Business Intelligence team provides data services, analytics, reporting and data science solutions to Apples business groups including Retail, iTunes, Marketing, AppleCare, Operations, Finance and Sales. We use diverse technology stacks such as Teradata, HANA, Hadoop, Spark, Cassandra and beyond. Crafting, developing and scaling these Big Data technologies is a core part of our daily job.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will be responsible for ownership of one or more applications. You will work with business partners to understand their goals and requirements and will define application features and strategic roadmaps to meet those needs, in addition, you will be encouraged to keep abreast of, and plan for, technology changes as applicable to your solution landscape and industry standard methodologies. You will have overall ownership of application features and will drive engineering teams in building them. &lt;br /&gt;&lt;br /&gt;Apple is looking for an Application Lead to join our team. You will engage directly with key business partners to build positive relationships and understand their business strategies and solution needs. You will build and own solution roadmaps, and design and deliver high quality, scalable and resilient business solutions. You will need to translate complex business requirements into scalable technical solutions that meet these needs and are in line with the solution&#x27;s strategic roadmap. The BI Application Lead will lead a strong engineering team in building to the roadmap and delivering to quality focused development standards. You should have application delivery experience, and be equally relaxed working with the business and driving technical design discussions. You should be passionate about data and its nuances.&lt;/span&gt;

Application Lead (Global Business Intelligence)

We are looking for a hardworking, passionate and results-oriented leader to join our WPC Analytics Data PMO Team and help drive the future of Data Science &amp; Business Intelligence for Payments and Commerce across Apple. &lt;br /&gt;As the new leader of the WPC Analytics PMO team, you will play a central role in delivering a high-impact project initiatives with our Payments, Commerce &amp; Wallet teams. You will partner closely with your WPC teammates, business and engineering teams to define initial requirements, produce specifications, drive new data product features and ad hoc projects to completion. As a member of the leadership team reporting to the Director, you will be responsible for coordinating projects for new and existing features by identifying results, managing risk, and improving our processes while driving to successful outcomes. &lt;br /&gt;The role requires detailed project planning, coordination, and execution of technical tools and systems development, the power to construct robust technical test plans, clear and concise communication skills, a comprehension of operational challenges, helping to scope improvements for future Wallet, Payments &amp; Commerce initiatives, and working closely with partners from various internal teams such Data Engineering, Product, Marketing and Operations.&lt;br&gt;&lt;br&gt;&lt;span&gt;Lead 3 to 4 FTE EPMs and 10 contractors that are supporting the data product design and delivery process to help unlock analytics capabilities&lt;br /&gt;&lt;br /&gt;Manage the process of instrumentation and dataset creation efforts for our Data Science team, collaborating closely with Business, Marketing, Client Engineering, Data Engineering and Privacy teams.&lt;br /&gt;&lt;br /&gt;Understand and define requirements to migrate/induct/enrich data from production into downstream data warehousing environments for consumption by analytics tools and products, data scientists, and analysts.&lt;br /&gt;&lt;br /&gt;Work with privacy, engineering &amp; data teams to understand business processes and co-develop data requirements, instrumentation, aggregation, and induction for new features Develop frameworks for instrumentation, attribution, and reporting across multiple platforms and tools.&lt;br /&gt;&lt;br /&gt;Play a key role as an independent part of the Data Science &amp; BI leadership team, working with your Data Science and Data Engineering peer colleagues to set team goals and roadmaps, including product and resource planning&lt;br /&gt;&lt;br /&gt;Provide consulting expertise through effective communication to customers, partners, management, staff and peers to ensure expectations are met&lt;br /&gt;&lt;br /&gt;Drive and improve the documentation of plans and processes, driving consistency and alignment across teams&lt;br /&gt;&lt;br /&gt;Create systems to track and prioritize product needs and challenges&lt;/span&gt;

Data Product TPM/EPM Leader - Wallet, Payments & Commerce Data Science & BI - Cupertino

The Video Computer Vision organization is working on exciting technologies for future Apple products. Our focus is on ML based solution around real time image and video. We have contributed to the FaceID and FaceKit project in the past and more recently the new LIDAR iPad sensor. As part of Spatial Perception Team (SPT) we focus on people and scene understanding. We are developing 2D and 3D deep learning technologies that will help bring the 3D world into your devices utilizing our powerful LiDAR along with other sensors. &lt;br /&gt;In this role, you will develop new technologies in the area of scene understanding and reasoning for Apples next generation products. The focus will be analyzing performances of complex 3D computer vision systems on real world applications, building end-to-end pipeline and metrics for fast model evaluation, and understanding data / model biases.&lt;br&gt;&lt;br&gt;&lt;span&gt;Are you passionate about building AI/ML products with focus on Augmented Reality (AR) and Virtual Reality (VR) applications? Are you passionate about solving hard problems? Video Computer Vision org at Apple is looking for Senior Data Scientist to join the team of highly accomplished and deeply technical scientist. You will design and implement new machine learning algorithms while collaborating with the most innovative product development teams at Apple. We provide the right balance between research and product to deliver Apple quality state of the art experiences on various apple devices. &lt;br /&gt;&lt;br /&gt;You will have the opportunity to touch the life of millions of people through amazing products. Our team researches new machine learning algorithm and techniques and has a track record of shipping some of the most impactful CVML products ever shipped by Apple. Examples include FaceID, Animoji/Memoji, Scene Understanding, People Understanding and Positional Tracking (VIO/SLAM). We want new results-oriented team members to join our research ML group. In this role, we create new models and algorithms, and actively engage with the academic community. &lt;br /&gt;&lt;br /&gt;You will also have the opportunity to give to impactful projects at Apple, and use your machine learning and computer vision skills to transfer your ideas into solutions for some of the most complicated technical problems in the next generation of products that will delight millions of people.&lt;br /&gt;&lt;br /&gt;Your key responsibilities will be but not limited to:&lt;br /&gt;&lt;br /&gt;Analyzing performances of complex 3D computer vision systems in real-world applications.&lt;br /&gt;Developing end-to-end pipeline and metrics for fast system evaluation.&lt;br /&gt;Understanding data and model biases.&lt;br /&gt;Designing data collection protocols.&lt;br /&gt;Collaborating with multiple algorithm teams to understand and analyze algorithm issues.&lt;/span&gt;

Senior Data Engineer

Would you like to play a key role in advancing Apple products by empowering engineering teams with insights and data? The Machine Learning Platform &amp; Technology (MLPT) EPM team is seeking a technical product manager for its Data platform products. The platform handles secure data storage, curation, and analysis, produces quality human-annotated data sets, and helps engineering teams across Apple to make data-informed decisions and power model training, with the ultimate goal of improving product quality and delivering a delightful experience to Apple customers! &lt;br /&gt;You will work closely with cross-functional partners within and outside MLPT to define and build the right data products to serve organization needs with consideration of user privacy. You can see different angles of a product or business opportunity, and you know how to connect the dots and interact with people in various roles and functions. Come thrive in a fast-paced and demanding environment, to lead innovative projects that have broad impact, and to coordinate projects across a variety of teams.&lt;br&gt;&lt;br&gt;&lt;span&gt;Specific Responsibilities Include: &lt;br /&gt;&lt;br /&gt;-  Build the right scalable and flexible privacy-preserving data platform to empower Apple development teams to effectively collect, store, analyze, and curate data for Machine Learning. This includes defining roadmaps, planning, and execution.&lt;br /&gt;-  Proactively identify use cases from internal partners and define feature requirements and product specs. Work with cross-functional partners and partners to establish roadmaps, and process and feedback loops to continuously improve products&lt;br /&gt;-  Come up with product metrics to measure the success of our data platform in relation to overall MLPT product goals&lt;br /&gt;-  Build relationships across Apple organization and facilitate communication between cross-divisional groups to ensure our tooling and processes are driving MLPT Data product improvement&lt;br /&gt;-  Be the driver, evangelist, problem-solver, and leader who helps our engineering and operations team gather and use data that makes Apples MLPT platform the worlds best for machine learning while aligning with our strong privacy guarantees to our users&lt;/span&gt;

AI/ML - Data Product Manager, ML Platform & Technology

The people here at Apple dont just create products  they create the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts! Join Apple, and help us leave the world better than we found it! We&#x27;re growing and urge you to apply. We believe the role would place you in a highly-energized environment with some of the most creative individuals in the industry where you would be inspired to share your years of experience along with providing extraordinary support for the team. As a Product Strategy Analyst on the Product team for Apple Maps, youll work collaboratively across various Apple teams to understand analytics needs, independently solve problems, and communicate and present complex analyses. Your work provides decision-makers with important usage insights to help inform product direction.&lt;br&gt;&lt;br&gt;&lt;span&gt;As mobility evolves beyond point-to-point navigation in a car, the map of the future will be less a utility and more a platform that helps one make sense of the physical world. The Product team for Apple Maps is looking for driven individuals ready to meet those challenges. In this role, youll collaborate with various teams across Apple such as data science, finance, engineering, and marketing, while driving the product analytics strategy for market prioritization, KPI definition, feature engagement, and user journeys. Youll act as a domain expert for how data can help inform product strategy and future planning.&lt;/span&gt;

Product Strategy Analyst

At Apple, great ideas have a way of becoming great products, services, and customer experiences. If you are a self-motivated, passionate individual who is not afraid of challenges, we&#x27;re looking for you. &lt;br /&gt;Apple is seeking a Video Business Data Science Manager to join a team passionate about Apples digital video services as a part of the Apple Media Products (AMP) Data Science &amp; Analytics organization. &lt;br /&gt;This role provides the opportunity to work with Apples Video services covering the TV App, Apple TV+ subscription, transactional VOD/EST, and video partnership businesses. A successful candidate will help drive growth across these video services by using data science and analytic insights to evolve our 1st party services and video platform. Specifically, this role will help manage the health of the business and grow subscribers by evaluating various initiatives plus partnering with business teams on strategic opportunities. &lt;br /&gt;The team&#x27;s culture centers around rapid iteration with open feedback and debate along the way, plus strong collaboration with business, product, and engineering partners. We encourage independent decision-making and taking smart risks. &lt;br /&gt;As an organization, AMP Data Science collaborates with executives and various partners across business, product, design, engineering, and marketing teams. Our mission is to drive innovation at Apple through in-depth quantitive research of the App Store, Apple Music, Apple TV, Apple Fitness, Apple One, and other services.&lt;br&gt;&lt;br&gt;&lt;span&gt;4+ years in managing data science, analytics, or data operations teams - preferably in the digital streaming, video, entertainment, or subscription business&lt;br /&gt;&lt;br /&gt;Mastery in SQL-based languages, and proficiency in at least one large-scale data languages such as Scala or PySpark&lt;br /&gt;&lt;br /&gt;Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R&lt;br /&gt;&lt;br /&gt;Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytic teams&lt;/span&gt;

Video Business Data Science Manager - Cupertino

Apple Maps is changing, and data is in the drivers seat. Our mission is to build the best map in the world. We work in a dynamic data-focused environment where Data Scientists are given runway to own big projects and drive impact across the Maps organization. &lt;br /&gt;We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Maps services and features. We work directly with the Engineering and Product teams responsible for quantifying, measuring and monitoring usage and user experiences across Maps platform. Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, generative analytics, and more.&lt;br&gt;&lt;br&gt;&lt;span&gt;You&#x27;ll build data products (datasets, analyses, models, etc.) and tools (typically in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in engineering and product management. Create and validate actionable metrics, at both the component level and to measure overall user engagement. Design effective experiments for evaluating complex data and machine learning based systems. Develop models and analyses to mine large volume of data, extract insights, and recommend opportunities for product improvements. Automate analyses and pipelines via SQL and Python/Scala-based ETL frameworks. Communicate insights to partner teams to influence product direction with data. Use data intuition to translate hard product goals and business problems into solvable data science problems. Help to guide junior data scientists&lt;/span&gt;

Senior Data Scientist, Maps Metrics

Imagine what you could do here! At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there&#x27;s no telling what you could accomplish. &lt;br /&gt;Would you like to work in an energizing environment where your abilities will be challenged on a day-to-day basis? &lt;br /&gt;As a Product Manager, you will be responsible for owning and developing the critical Data processing Platform. Our ideal candidate has in-depth experience working within a large-scale ata challenges. The candidate is well versed with technology and will be self-directed, equipped with cross functional experience, motivated, strong analytical, product management, and influencing skills. &lt;br /&gt;The Global Business Intelligence team provides data services, analytics, reporting and data science solutions to Apples business groups including Retail, iTunes, Marketing, AppleCare, Operations, Finance and Sales. We use diverse technology stacks such as Teradata, HANA, Hadoop, Spark, Cassandra and beyond. Crafting, developing and scaling these technologies is a core part of our daily job.&lt;br&gt;&lt;br&gt;&lt;span&gt;Lead the data strategy of dataset designs that unlocks analytics capabilities&lt;br /&gt;&lt;br /&gt;Lead instrumentation and dataset creation efforts for our Data Science team, collaborating closely with Business, Marketing, Client Engineering, Data Engineering and Privacy teams&lt;br /&gt;&lt;br /&gt;Migrate/induct/enrich data from production into downstream data warehousing environments for consumption by analytics tools and products, data scientists, and analysts&lt;br /&gt;&lt;br /&gt;Work with privacy, engineering &amp; data engineering teams to understand business processes and co-develop data requirements, instrumentation, aggregation, and induction for new and existing features&lt;br /&gt;&lt;br /&gt;Develop frameworks for instrumentation, attribution, and reporting across multiple marketing channels&lt;br /&gt;&lt;br /&gt;Be the first point of contact to troubleshoot and communicate any data issues to the business, Day-to-day project management for the Data Engineering team&lt;br /&gt;&lt;br /&gt;Ensure product is developed to meet business goals and customer needs. Own the definition, tracking, and reporting on critical metrics for all products&lt;/span&gt;

Product Manager, Global Business Intelligence

Imagine working at Apple to create services that enrich peoples lives. Bring passion and dedication, and theres no telling what we could accomplish together! &lt;br /&gt;The AMP Data Science &amp; Analytics Team empowers services and business teams with data insights. We are responsible for generating critical metrics for all Apple Media Products, such as Appstore, Arcade, Fitness+, Apple Music, News+, and TV+. &lt;br /&gt;We are looking for a passionate and results-oriented Data Governance Lead. You will have opportunities to lead data governance for the AMP Data Science &amp; Analytics organization and work with data science and engineering partners on a daily basis.&lt;br&gt;&lt;br&gt;&lt;span&gt;We are seeking a Data Governance Lead with advanced hands-on design and delivery skills to lead data governance for the AMP Data Science &amp; Analytics organization. Having extensive knowledge and understanding of data science practices is a core competency of this individual. Understanding and navigating a rich and diverse data platforms and tooling landscape is key. Working with data scientists, data engineers, platform engineers, legal and privacy partners to define roadmaps and ensure delivery is a crucial element of the role. The role includes providing data governance leadership and mentorship to data scientists throughout the organization.&lt;/span&gt;

Data Governance Lead - Cupertino

At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. If you are a self-motivated, high-energy individual who is not afraid of challenges, were looking for you. Apple is seeking a proven Technical Product Manager (TPM) to join the Apple Media Products Data Science team. &lt;br /&gt;The TPM plays a critical role in collaborating with engineering and data scientists to design, maintain, build or improve mission-critical datasets from a multitude of sources. This role will involve working with internet-scale data across numerous product and customer touch points to drive initiatives that will make our data science organization more streamlined and productive. &lt;br /&gt;The teams culture is centered on rapid iteration with open feedback and debate along the way, plus tight-knit collaboration with data scientists, product, feature engineering and data engineering.&lt;br&gt;&lt;br&gt;&lt;span&gt;Data is our product. We are looking for a self-starting, motivated individual with great communication skills that is passionate about managing and developing critical datasets to maximize Data Science capabilities.  If you have a passion for Apple services (TV+, Music, Arcade, Podcasts, etc), it would be a big plus!&lt;br /&gt;&lt;br /&gt;You should have a strong interest in driving large scale data products, engaging with key business stakeholders involved, and driving key communications throughout the business.&lt;/span&gt;

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