At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. If you are an ambitious, high-energy individual who is not afraid of challenges, were looking for you. &lt;br /&gt;Apple is seeking a specialist Data Scientist to join a team passionate about Data Science &amp; Analytics for the Apple App Store and understanding search and discovery. This role will involve working with Internet-scale search data on the App Store, undertaking in-depth quantitative analysis and building machine learning models to drive product and strategy. The teams culture centers around rapid iteration with open feedback and debate along the way, plus strong collaboration with product, engineering, business, and marketing partners.&lt;br&gt;&lt;br&gt;&lt;span&gt;Dive deep into large-scale data to uncover trends and identify key insights that will drive App Store product and design strategy. Craft how best to monitor, measure and understand product and business performance around search and discovery. Collaborate with business, marketing, finance and executive teams to generate regular presentations for C-level. Partner with other Apple organizations on data gathering, data governance, evangelizing key performance indicators and democratizing data. Your creative skills will be utilized daily&lt;/span&gt;

Search Data Scientist, Apple App Store - Cupertino

Would you like to play a part in the next revolution in human-computer interaction? Contribute to a product that is redefining mobile and desktop computing, and work with the people who built the intelligent assistant that helps millions of people get things done  just by asking? The vision for the AI/ML Data organization is to improve products by using data as the voice of our customers. Within this organization the mission of the Analytics team is to inform the evolution of Siri through measurement and analysis of the user experience. As an Embedded Data Scientist on the team, you will be an ambassador of analytics to product and engineering teams with the ultimate purpose of improving the Siri experience for Apple customers. &lt;br /&gt;Opportunities are open in Seattle, WA and Boston, MA&lt;br&gt;&lt;br&gt;&lt;span&gt;You will partner closely with Siri engineering teams to develop ways of characterizing the user experience in how Siri executes on requests and connecting those characterizations into Siri&#x27;s development.  Define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data.  Communicate with and advocate to a wide audience of engineers, managers and executives to inform decisions on how Siri evolves.  Build analytic, visualization, and other information products with a drive to automate and scale the insights available to science and engineering teams.  Perform exploratory data analyses to enrich our mental models about Siri usage and identify new questions to pursue.  Extract information from structured and unstructured data coming from Siri&#x27;s computational architecture.&lt;/span&gt;

AI/ML - Embedded Data Scientist, AI/ML Data

Were idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. &lt;br /&gt;Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! &lt;br /&gt;The News Engineering team is looking for an outstanding Data Scientist who will focus on applied research, exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of predictive behavior and life cycle analytics.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will be faced with a variety of problems to solve, and you will be equipped with strong analytical and quantitative skills to take on these of challenges in sophisticated environments. Your creativity and critical thinking skills will be put to good use, deconstructing problems and transforming your insights into data backed recommendations. &lt;br /&gt;&lt;br /&gt;In this role, you will perform the following:&lt;br /&gt;&lt;br /&gt;- Design, develop and manage big data-driven predictive models to improve user engagement using the latest technologies in machine learning, user pattern recognition, and data modeling.&lt;br /&gt;- Analyze data covering a wide range of information from user profile to user behavior signals. &lt;br /&gt;- Identify new engagement patterns through data mining&lt;br /&gt;- Conduct hypothesis driven exploratory analysis, build feature engineering, design the best structure, and select the most appropriate modeling techniques from a variety of machine learning models.&lt;br /&gt;- Develop, validate, and maintain advanced lifecycle events based predictive models, tools and other capabilities.&lt;br /&gt;- Collaborate with product, engineering, business, and science groups to formulate innovative solutions to experiment and implement advanced data mining techniques.&lt;br /&gt;- Work with large volumes of data; extract and manipulate large datasets using tools such as Spark SQL.&lt;br /&gt;- Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management.&lt;/span&gt;

Sr. Data Scientist, News Team

We are looking for a hands on top-tier full stack analytics professional to join our team and craft the future of Apple Pay. You are both analytically skilled and have a strong eye for business. You will be a thought partner to the product and business teams, understand their goals and then use your analytical power to surface impactful insights in support of these goals. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will play a key role improving the Apple Pay product experience. As a member of the analytics team you will be supporting a product function. You will partner with business owners, understand goals, craft critical metrics and measure ongoing performance. You will initially engage with the product and engineering teams in ensuring that we have the appropriate instrumentation in place to deliver on these metrics. You will subsequently apply your problem solving skills and your analytical chops to analyze product performance and identify key insights that inform product improvements and business strategy. The role requires a high degree of independence, ownership and collaboration working cross functionally across all levels of a highly matrixed organization.&lt;/span&gt;

Data Scientist, Apple Pay Analytics - Cupertino

At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly. If you are a results-oriented, passionate individual who is not afraid of challenges, were looking for you to join the Wallet, Payments &amp; Commerce Analytics organization to drive optimization analytics for the Apple Services business. The WPC Analytics team supports all commerce and payments across all of Apples Services business (App Store, iTunes, Music, Books, TV+, iCloud, Apple Wallet). You are skilled analytically with a strong business sense. You will be a partner to the business, understand their goals and then use your skills and subject matter expertise to surface measurable insights that drive business and customer benefits. You will collaborate with partners across product, design, engineering, and business teams to drive your findings and recommendations into action. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will play a key role contributing to the Marketing Science team. You will help build marketing mix models, examine promotion effectiveness, and measure incrementality of marketing campaigns&lt;br /&gt;&lt;br /&gt;Your day to day activities will include: Deep dives in large-scale data to identify key insights that inform marketing decisions. Run Applied Regression models, examine causal inference, and perform sensitivity tests. Engage with business partners, engineering, product management teams as a thought partner. Build and maintain positive relationships with key partners across the company to optimally deliver measurable insights. Partner with other Apple organizations on data gathering, data governance, redefining data with reporting tools and evangelizing critical metrics&lt;/span&gt;

Marketing Scientist - WPC Analytics/ Data Science - Cupertino

Do you want to work on solving real world problems where we surprise and delight users ? Do you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great 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;The Applied Machine Learning Data Science team in Apple is a group of innovative data scientists from diverse disciplines with extensive track records in both academia and industry. Data Scientists of the team work on many high-impact projects, building state of the art machine learning models that serve various Apple lines of business and enrich end user experiences. Join us and you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry. As a Senior Data Scientist, youll develop cutting-edge machine learning algorithms to enable current and future products and services in various enterprise scenarios.&lt;br&gt;&lt;br&gt;&lt;span&gt;Be ready to make something great when you come here. Dynamic, inspiring people and innovative industry-defining technologies are the norm at Apple. The people who work here have reshaped entire industries with our products and services. The same passion for innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it. You should join the Apple Applied Machine Learning if you want to help deliver the next amazing Apple product.&lt;br /&gt;&lt;br /&gt;The Sr Data Scientist will work on large-scale data sets with intensive hand-on code development. This role require addressing business problems and questions using statistical and machine learning techniques thereby achieve business goals and KPI&#x27;s. In addition, the role requires close partnering with business teams in articulating the research methodologies and results. The role also requires collaboration with engineering teams in integrating and deploying machine learning models to deliver amazing user experiences.&lt;br /&gt;&lt;br /&gt;Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success on our team. We are in need of a creative thinker with deep expertise in machine learning, algorithms, and optimization. You will work with amazing colleagues, brainstorm new ideas, and develop models and algorithms to solve challenging problems that have a substantial impact.&lt;/span&gt;

Senior Machine Learning Data Scientist

Would you like to play a part in the next revolution in human-computer interaction? Contribute to a product that is redefining mobile and desktop computing, and work with the people who built the intelligent assistant that helps millions of people get things done  just by asking? The vision for the Siri Data organization is to improve Siri by using data as the voice of our customers. Within this organization the mission of the Analytics team is to inform the evolution of Siri through measurement and analysis of the user experience. As an Embedded Data Scientist on the team, you will be an ambassador of analytics to product and engineering teams with the ultimate purpose of improving the Siri experience for Apple customers. &lt;br /&gt;Opportunities are open in Seattle, WA and Boston, MA&lt;br&gt;&lt;br&gt;&lt;span&gt;You will partner closely with Siri engineering teams to develop ways of characterizing the user experience in how Siri executes on requests and connecting those characterizations into Siri&#x27;s development.  Define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data.  Communicate with and advocate to a wide audience of engineers, managers and executives to inform decisions on how Siri evolves.  Build analytic, visualization, and other information products with a drive to automate and scale the insights available to science and engineering teams.  Perform exploratory data analyses to enrich our mental models about Siri usage and identify new questions to pursue.  Extract information from structured and unstructured data coming from Siri&#x27;s computational architecture.&lt;/span&gt;

AI/ML - Embedded Data Scientist, Siri Data

Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there&#x27;s no telling what you could accomplish. Apples Enterprise team is looking for an experienced data science product analyst to join our growing Enterprise team. Our teams mission is simple: help people work togetherand with our devicesat scale, whether that means a school district, a small business, or a Fortune 500 company. Weve got big ambitions and your work will be instrumental to realizing them and delivering great products to our users. As a data scientist focused on product analysis, youll be in a highly dynamic and collaborative role that is integral to setting product strategy and direction. Youll use a broad base of analytical skills and techniques to surface substantial business insights and communicate these results and ideas to key decision makers within Apple. You can learn more about the products our team produces at: https://www.apple.com/business (https://www.apple.com/business/)&lt;br&gt;&lt;br&gt;&lt;span&gt;This role works on an embedded basis with product teams across the full product development lifecycle. Depending on the stage of the product, the day-to-day will include:  &lt;br /&gt;- Performing and presenting ad-hoc analysis to develop understanding of our products &lt;br /&gt;- Collaborating with product managers and marketing teams to set metrics and goals for products  &lt;br /&gt;- Collaborating cross-functionally to identify reporting requirements and ensure the vital data is accessible  &lt;br /&gt;- Building reporting and visualizations  - Using machine learning techniques to identify key areas of opportunity  &lt;br /&gt;- Building models to forecast growth, capacity requirements, etc.  &lt;br /&gt;- Planning, designing, and analyzing A/B tests&lt;/span&gt;

Sr. Data Scientist, ACS

Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there&#x27;s no telling what you could accomplish. The ACS Data Science team seeks an extraordinary Software Engineer to support a business analytics platform with sophisticated, scalable, and robust architecture optimized for rapid business intelligence, data analysis, and data science. In this highly technical, hands-on role, you will examine the current production systems to identify areas of improvement and lead future enhancements. You will also be responsible for prototyping and developing new systems.&lt;br&gt;&lt;br&gt;&lt;span&gt;The ACS Data Science is responsible for data analysis and data products. As a full-stack engineer, you will help design and build the next set of features within our products and the shared framework. You will collaborate with other engineers and users to help develop and maintain various production systems.&lt;/span&gt;

Full Stack SWE, ACS Data Science

We are looking for a results-oriented seasoned data scientist to join our team and craft the future of Apple Pay. You are analytically skilled and have strong business acumen. You will be a thought partner to the product and business teams, understand their goals and then build, test, implement and analyze various experimental designs. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.&lt;br&gt;&lt;br&gt;&lt;span&gt;Collaborate with product teams to propose, develop and implement experiments for investigating and answering business questions&lt;br /&gt;&lt;br /&gt;Partner with Engineering and QA team to build A/B and Multivariate tests using proprietary in-house tools.&lt;br /&gt;&lt;br /&gt;Partner with Data Engineering to ensure accurate capture of experiment values into the analytical clickstream.&lt;br /&gt;&lt;br /&gt;Quantify and analyze testing outcomes and provide analytical readouts on test results using various statistical techniques. &lt;br /&gt;&lt;br /&gt;Continuously track the business and technical requirements of the experimentation system; improve testing processes continuously to meet business needs. Make recommendations to systems development teams for system improvements.&lt;/span&gt;

Data Scientist, Testing and Optimization - 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

Would you like to play a part in the next revolution in human-computer interaction? Contribute to a product that is redefining mobile and desktop computing, and work with the people who built the intelligent assistant that helps millions of people get things done  just by asking? &lt;br /&gt;The vision for the Siri Data organization is to improve Siri by using data as the voice of our customers. Within this organization the mission of the Analytics team is to inform the evolution of Siri through measurement and analysis of the user experience. As a Data Scientist on the team, you will be an ambassador of analytics to language understanding, product and engineering teams with the ultimate purpose of improving the Siri experience for Apple customers&lt;br&gt;&lt;br&gt;&lt;span&gt;Partner with multiple language-understanding and product engineering teams to understand systemic behavior of Siri and develop methods for evaluating component and model interactions, bias propagation, and hierarchical optimization.&lt;br /&gt;Define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data.&lt;br /&gt;Communicate with and advocate to a wide audience of engineers, managers and executives to inform decisions on how Siri&#x27;s capabilities evolve.&lt;br /&gt;Build analytic, visualization, and other information products with a drive to automate and scale the insights available to science and engineering teams. &lt;br /&gt;Perform exploratory data analyses to enrich our mental models about Siri usage and identify new questions to pursue.&lt;br /&gt;Extract information from structured and unstructured data coming from Siri&#x27;s computational architecture.&lt;br /&gt;We are looking for people with a track record in building insights and relationships to affect decisions. Join us, and impact hundreds of millions of customers across billions of their interactions with a personal, intelligent assistant who is available on iPhone, iPad, HomePod, Watch, TV, and Mac across more than 30 languages!&lt;/span&gt;

Siri - Data Scientist, Data Organization

Play a part in the next revolution in human-computer interaction. Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the Proactive Intelligence organization is to improve Apple platforms by better understanding, anticipating, and adapting to user behavior by using machine learning to build phenomenal predictive features that are built right into Apple platforms. &lt;br /&gt;You will partner closely with the Proactive Intelligence leadership team, as well as with product and engineering teams, to devise the data insights and reporting best practices that guide the development of current and new intelligent experiences across iPhone, iPad, HomePod, Mac, Watch, tv, and across dozens of locales.&lt;br&gt;&lt;br&gt;&lt;span&gt;The Proactive Intelligence organization is looking for an experienced and highly motivated data scientist! You will partner across engineering groups building on-device intelligence, and evangelize a culture of using data to measure, understand, and improve our products and features. You have a background that fuses data science, engineering, and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.&lt;br /&gt;&lt;br /&gt;IN THIS ROLE, YOU WILL:&lt;br /&gt;&lt;br /&gt;Research and develop evaluation methods to improve the quality of Proactives user-facing products.&lt;br /&gt;&lt;br /&gt;Drive the generation of insights from raw, unstructured data to improve existing features and explore future directions.&lt;br /&gt;&lt;br /&gt;Develop extensive knowledge of existing metrics, advocating for changes where needed.&lt;br /&gt;&lt;br /&gt;Work closely with engineering teams to guarantee the consistency and validity of metrics across Proactive.&lt;br /&gt;&lt;br /&gt;Conduct analysis that includes data gathering and requirement specifications, processing, analysis, and report generation.&lt;br /&gt;&lt;br /&gt;Drive weekly metrics reports, and quarterly metrics presentations, with Apples leadership teams.&lt;br /&gt;&lt;br /&gt;Tackle difficult, non-routine analysis problems, applying advanced analytical methods as needed.&lt;br /&gt;&lt;br /&gt;Partner with your peers to build and prototype analysis pipelines that provide insights at scale.&lt;br /&gt;&lt;br /&gt;Evangelize adoption of best practices and build greater awareness of common data analysis pitfalls.&lt;/span&gt;

Senior Data Scientist, Proactive

Play a role in bringing autonomous technologies to the real world. We are looking for an experienced and highly motivated data scientist to join our efforts to measure and evaluate autonomous technologies. You will engineer and generate data-driven insights into system performance and testing, and provide a sound statistical basis for determining the performance of autonomous systems.&lt;br&gt;&lt;br&gt;&lt;span&gt;Assess readiness of autonomous systems based on rigorous statistical methods&lt;br /&gt;Develop informative data visualizations based on scalable data pipelines and analysis&lt;br /&gt;Develop and execute performance measurement strategy for autonomy systems&lt;br /&gt;Deploy novel analytic strategies to evaluate accuracy of simulation methods against real-world data&lt;br /&gt;Develop a statistical basis for determining sufficient depth and breadth of autonomous software simulation testing&lt;/span&gt;

Senior Data Scientist, SPG

At Apple, we work every day to create products that enrich peoples 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. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. &lt;br /&gt;The Data Insights team within Ad Platforms is seeking a bright and endlessly curious data expert to lead our Optimization practice. This Data Science Manager will be responsible for managing a team of scientist and analysts. This group turns 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.&lt;br&gt;&lt;br&gt;&lt;span&gt;We are seeking a leader for our near-term plans and to help define and plan our longer term vision. 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. &lt;br /&gt;&lt;br /&gt;-  Drive creation of analytics tools and data products to enable insights discovery at lightning speed and scale&lt;br /&gt;-  Automate and scale existing analysis methods. Institute innovative approaches on modeling and analysis frameworks&lt;br /&gt;-  Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance and greater customer happiness&lt;br /&gt;-  Understand advertiser engagement, build predictive modeling processes and find stories based on signals of advertiser success or failure/churn&lt;br /&gt;-  Hire, develop, empower, and motivate. Our culture is passionate about rapid iteration with open feedback and healthy debates along the way&lt;/span&gt;

Data Science Manager, Ad Platforms

The HomeKit team provides the foundation that enables an entire ecosystem of secure and intelligent home connectivity. We are developing technologies and crafting experiences that revolutionize the way people harmonize with the accessories around them. &lt;br /&gt;The team is seeking a hardworking Data Scientist to push the boundaries of data collection, processing and visualization and building a foundation of data driven decision-making for a growing team.&lt;br&gt;&lt;br&gt;&lt;span&gt;The HomeKit organization is looking for an experienced and highly motivated data scientist! You will partner across engineering groups building extraordinary home related products, and promote a culture of using data to measure, understand, and improve our products and features. You have a background that fuses data science, engineering, and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products. &lt;br /&gt;IN THIS ROLE, YOU WILL: &lt;br /&gt;Work closely with leadership and engineering teams to help define and prioritize the insights we need to make the very best products&lt;br /&gt;Drive the generation of insights from raw, unstructured data to improve existing features and explore strategic directions. Develop extensive knowledge of existing metrics, advocating for changes where needed. &lt;br /&gt;Work closely with engineering teams to guarantee the consistency and validity of metrics across platforms, modalities and languages.&lt;br /&gt;Conduct analysis that includes data gathering and requirement specifications, processing, analysis, and report generation. &lt;br /&gt;Drive regular insights reports and presentations with Apples leadership teams. &lt;br /&gt;Tackle difficult, non-routine analysis problems, applying advanced analytical methods as needed. &lt;br /&gt;Partner with your peers to build and prototype analysis pipelines that provide insights at scale. &lt;br /&gt;Promote adoption of best practices and build greater awareness of common data analysis pitfalls.&lt;/span&gt;

Data Scientist-HomeKit

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, Apple Maps

At Apple, we work every day to create products that enrich peoples 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. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. &lt;br /&gt;We are looking for an aspiring and ambitious individual who can thrive in a fast paced agile environment and work at the leading of ML and privacy frameworks. Our group is developing next generation of Ad Tech technology with a strong focus on user privacy and in the process it is redefining the industry. For end-users, we aim to provide high privacy guarantees and for advertisers we want to enable new mechanisms to build effective campaigns. This position involves working on large volumes of data, identifying meaningful data patterns, assuring the integrity and breadth of the data, measuring user, campaign and app performance, and finally analyzing the results of extremely large-scale experiments. The role involves using state of the art language models, collaborative filters and dense representations. In addition, the successful candidate will also apply advanced ML techniques for federated learning where privacy mechanisms are safeguarded at the very onset and delightful relevance experiences are built by applying encryption techniques, on-device segmentation, advanced language models, ranking algorithms by utilizing the best of aggregated server and on-device data.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will have the opportunity to work on a platform with extreme scale and performance requirements. You would be applying your skills to work across the stack to develop, test, deploy and maintain ML based software solutions. Develop machine learning models using relevant frameworks such as TensorFlow and PyTorch. Implement and adapt deep learning network architectures, such as CNN and RNN. You would participate in cutting edge research in artificial intelligence and machine learning applications.&lt;/span&gt;

Machine Learning Scientist

Do you want to work on solving real world problems where we surprise and delight users ? Do you want to work on building groundbreaking technologies in natural language understanding and personalization? At Apple, great 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;The Applied Machine Learning Data Science team in Apple is a group of innovative data scientists from diverse disciplines with extensive track records in both academia and industry. Data Scientists of the team work on many high-impact projects, building state of the art machine learning models that serve various Apple lines of business and enrich end user experiences. Join us and you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry. As a Senior Data Scientist, youll develop cutting-edge machine learning algorithms to enable current and future products and services in fields of natural language processing, information retrieval and recommendation.&lt;br&gt;&lt;br&gt;&lt;span&gt;Be ready to make something great when you come here. Dynamic, inspiring people and innovative industry-defining technologies are the norm at Apple. The people who work here have reshaped entire industries with our products and services. The same passion for innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it. You should join the Apple Applied Machine Learning if you want to help deliver the next amazing Apple product.&lt;br /&gt;&lt;br /&gt;The Sr Data Scientist will work on large-scale data sets with intensive hand-on code development. This role require addressing business problems and questions using statistical and machine learning techniques thereby achieve business goals and KPI&#x27;s. In addition, the role requires close partnering with business teams in articulating the research methodologies and results. The role also requires collaboration with engineering teams in integrating and deploying machine learning models to deliver amazing user experiences.&lt;br /&gt;&lt;br /&gt;Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success on our team. We are in need of a creative thinker with deep expertise in machine learning, algorithms, and optimization. You will work with amazing colleagues, brainstorm new ideas, and develop models and algorithms to solve challenging problems that have a substantial impact.&lt;/span&gt;

Senior Data Scientist - Applied Machine Learning

Were idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. &lt;br /&gt;&lt;br /&gt;Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! &lt;br /&gt;&lt;br /&gt;The News Engineering team is looking for an outstanding Data Scientist who will focus on applied research, exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of predictive behavior and life cycle analytics.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will be faced with a variety of problems to solve, and you will be equipped with strong analytical and quantitative skills to take on these of challenges in sophisticated environments. Your creativity and critical thinking skills will be put to good use, deconstructing problems and transforming your insights into data backed recommendations. &lt;br /&gt;&lt;br /&gt;In this role, you will perform the following:&lt;br /&gt;&lt;br /&gt;- Design, develop and manage big data-driven predictive models to improve user engagement using the latest technologies in machine learning, user pattern recognition, and data modeling.&lt;br /&gt;- Analyze data covering a wide range of information from user profile to user behavior signals. &lt;br /&gt;- Identify new engagement patterns through data mining&lt;br /&gt;- Conduct hypothesis driven exploratory analysis, build feature engineering, design the best structure, and select the most appropriate modeling techniques from a variety of machine learning models.&lt;br /&gt;- Develop, validate, and maintain advanced lifecycle events based predictive models, tools and other capabilities.&lt;br /&gt;- Collaborate with product, engineering, business, and science groups to formulate innovative solutions to experiment and implement advanced data mining techniques.&lt;br /&gt;- Work with large volumes of data; extract and manipulate large datasets using tools such as Spark SQL.&lt;br /&gt;- Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management.&lt;/span&gt;

Data Scientist Jobs in Cupertino