About Prime Video: Prime Video is changing the way people watch movies and TV shows, offering more than 150,000 new release movies, next-day television shows and classic favorites available to rent or purchase on-demand, and more than 38,000 titles available to customers with an Amazon Prime membership. We believe so deeply in the mission of our video offering that we've launched our own Amazon Studios to create Original and Exclusive content. With an Amazon Prime membership, customers can have unlimited access to thousands of titles for no additional charge, including popular and award-winning Prime Originals like Jack Ryan, Fleabag and The Marvelous Mrs. Maisel.About the team: The vision for the engagement automation team is to inspire our customers to engage with all that Prime Video brand has to offer. To achieve our vision, we create product and technology solutions that drive incremental activation and engagement of PV customers worldwide. We obsess over finding effective ways to reach active and inactive customers with relevant and timely content that drives traffic to the PV experience. Using smart rules and machine learning we generate relevant, timely, and personalized engagement opportunities via a broad portfolio of both in-app and out-of-app experiences, on a fully automated basis.About the role: We seek an experienced Applied Scientist to be join Engagement Automation. Join us in defining and designing a fully automated E2E engagement system powered by science to increase customer engagement, activation and global adaption of prime video. You will have the opportunity to apply latest neural network, deep learning, and transfer learning models to define the target audience for Prime Video Originals and shows. You will also have the ability to apply causal modeling to identify customers with the most incremental impact from marketing activity as well as the defining characteristics of the most effective marketing campaigns. Additionally there is opportunity to apply Reinforcement Learning techniques to define the optimal marketing strategy (frequency, recency, touch point, channel, creative, copy) for each customer.You should expect to exercise both your coding skills and creative research thinking as you map real world processes to ML enabled systems. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. If you’re looking for an opportunity to make a big impact in a global business with a startup culture, we’re looking for you.
Amazon’s Talent Assessment team designs and implements hiring systems for one of the world’s fastest growing companies. We work in a data-focused, global environment solving complex problems with deep thought, large-sample research, and advanced quantitative methods to deliver practical solutions that make hiring more fair, accurate, and efficient.We're looking for an experienced assessment and personnel selection scientist who is equal parts researcher, consultant, and thought leader, with strong expertise in psychometrics, research methodology, and data analysis. In this role, you will collaborate with cross-functional teams of psychologists, ML scientists, UX researchers, engineers, and product managers, to direct the research, development, and implementation of new assessment methods to measure exactly what it requires to be an engaged and successful employee at Amazon.What you’ll do:· Lead the development and research of new content and approaches to assessment (e.g., high fidelity simulation, non-cognitive computer adaptive testing, interactive item types)· Design and execute large-scale, highly-visible global assessment validation and optimization projects· Develop assessment content, including personality, cognitive ability, and simulations· Perform complex statistical/quantitative analyses with large datasets· Apply the scientific method to answer novel research questions· Influence executive project sponsors and stakeholders across the company· Drive effective teamwork, communication, collaboration and commitment across cross-functional groups with competing priorities
Have you ever ordered a product on Amazon and wondered how that box with a smile arrived at your doorstep so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization organization is for you.Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotWe are the most customer-centric company on Earth. We need exceptionally talented, bright, and driven people to continue to raise the bar on customer experience.Our objective is to build an experience where you can find and buy anything online and have it delivered fast! We continue to innovate with delivery speed initiatives so that Amazon will continue to own ‘fast’ in the minds of our customers. We are looking for a dynamic, organized self-starter to join as a Research Scientist, who will create state of the art models on Speed initiatives and programs and develop the measurement criteria for success.The AIM (Automated Inventory Management) team in the Supply Chain Optimization Technologies (SCOT) organization is dedicated to answering key strategic questions using quantitative and statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and deploy automated software solutions to provide insights to business leaders at the most senior levels throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these strategic questions.The AIM Science team leads the way in developing innovative models, algorithms and strategies that will help us gain insights into how our business will grow and what will the drivers of such growth. These predictive models and insights will be based along products and product categories, customer segments, regions and locations, etc.This Research Scientist role will explore and develop innovative quantitative approaches and models, generate features, test hypotheses, design experiments, build predictive models, and work with very large complex data sets in order to explore relationship between business outcomes and key drivers, and then predict the trend on those business outcomes. These predictions and insights will provide a foundation of the highest level of visibility and importance for Amazon's financial and operational planning. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams, working together with Software Engineers, Product Managers, Business Analysts and other Scientists.Key Responsibilities:· Research, develop and build predictive models for Amazon business metrics with the goal of higher customer satisfactions. Analyze and research features and engineer features that help support predictive models to connect the dots among different functions such as inventory, speed of delivery, and best selections.. Provide insights by analyzing historical data· Constructively critique peer research and mentor junior scientists and engineers.· Create experiments and prototype implementations of new learning algorithms and prediction techniques.· Collaborate with engineering teams to design and implement software solutions for science problems.· Contribute to progress of the Amazon and broader research communities by producing publications.Amazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at email@example.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, A9 Product Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search team works to maximize the quality and trustworthiness of the search experience for visitors to Amazon websites worldwide.Our mission is to provide customers' trust and confidence in Amazon Search shopping experience. We identify problems that are customer trust busters at Amazon, deliver scalable and responsive solutions to these issues, and build experiences that gain customer trust using advanced machine learning methods. We carefully monitor the trustworthiness of the search results and dive deep when we see an unusual pattern. Most of the models used by our team is semi-supervised or unsupervised using small amount of labeled data.In this role you will leverage your strong statistical background to help build the next generation of our machine learning methods to discover untrustworthy search engagements, unsual patterns, and estimate a probability of risk for each item. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models, graph algorithms, and information retrieval algorithms at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses.If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.Major responsibilities· · Use machine learning and analytical techniques to create scalable solutions for business problems· · Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes· · Design, development, evaluate and deploy innovative and highly scalable models for predictive learning· · Research and implement novel machine learning and statistical approaches· · Work closely with software engineering teams to drive real-time model implementations and new feature creations· · Work closely with business owners and operations staff to optimize various business operations· · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· · Mentor other scientists and engineers in the use of ML techniques
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCJob Title: Applied Scientist IILocation: Cambridge, MAPosition Responsibilities:Designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for speech and language understanding applications. Developing practical solutions to complex problems. Translating business and functional requirements into concrete deliverables and building quick prototypes or proofs of concept with team members. Solving technical challenges related to speech and language understanding technologies. Mentoring junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Moderation and Relevance System (MARS) team, based in Bangalore, is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages.In this role, you will build and develop ML models to address content intelligence problems, build advanced algorithms in detecting and generating content. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. You will propose hypotheses, validate these offline and run A/B tests to validate them online. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day.
Amazon delights millions of customers around the world. Meet the behind the scenes team that enables our Human Resource and Operations Leaders to make informed decisions. The Amazon PeopleInsight team builds reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team getting you lunch in under an hour, or one of many more, the PeopleInsight group is there providing people metrics along the employee lifecycle for our global operations businesses. The PeopleInsight team is a collaborative group of Business Analysts, Business Intelligence Engineers, Data Engineers, Data Scientists, Product Managers, and Program Managers dedicated to empowering leaders and enabling action through data and science. We deliver workforce, associate experience, and leadership insights so Amazon leaders can focus their efforts in ways that will engage, retain and grow their associates.We are now recruiting for an exceptional Data Scientist, Worldwide OperationsThe ideal candidate will be:· A Well-Rounded Athlete –Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.· A Perpetual Student – You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to challenges they had not yet identified.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.Roles and ResponsibilitiesSuccess in this role will include influencing within your team and mentoring peers. The problems you will consider will be difficult to solve and often require a range of data science methodologies combined with subject matter expertise. You will need to be capable of gathering and using complex data set across domains. You will deliver artifacts on medium size projects, define the methodology, and own the analysis. Your findings will affect important business decisions. Solutions are testable and reproducible. You will create documents and share findings in line with scientific best practices for both technical and nontechnical audiences.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
The Amazon Search team creates powerful, customer-focused search technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Product Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our team works to maximize the quality and trustworthiness of the search experience for visitors to Amazon websites worldwide.Our mission is to provide a confident shopping experience for all Amazon Search customers. We identify problems that are customer trust busters, deliver scalable and responsive solutions to these issues using advanced machine learning techniques, and build experiences that gain customer trust. We carefully monitor the search results and dive deep when we see an unusual patterns of engagement to detect any form of abuse.In this role you will lead the search abuse mitigation team to build and deploy the next generation of our machine learning methods to discover untrustworthy search engagements, unusual patterns, and reduce the customer search impressions on untrustworthy items. You should be comfortable in operating with large amounts of data, web scale infrastructure, and distributed platforms. This role requires a pragmatic technical leader to deal with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience implemented and worked with scientists/engineers to develop machine learning, graph, or information retrieval algorithms at scale and deploy them to production. Additionally, we are seeking candidates with strong rigor in engineering, creativity, curiosity, and great judgment.
Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon has invested in Amazon Logistics, a world class last mile operation. We are looking for a dynamic, resourceful, and organized Data Scientist within Amazon Logistics’ Amazon Flex organization to develop the right data-driven solutions to support the most critical components of this rapidly scaling operation.As part of the Driver Science team, you’ll partner closely with Science, Product, and Program teams to design of new and innovative solutions to organizational and business problems, using statistical best practices to justify design decisions using data. You will be expected to be a subject matter expert in quantitative analysis and to communicate highly complex findings to multiple audiences. You may come from one of many different types of quantitative backgrounds, but you must be comfortable with multiple modeling techniques such as linear and logistic regression, supervised and unsupervised clustering and segmentation, and forecasting. You will be able to acquire new techniques with practice, and be willing to show flexibility in finding the right technique to match the research problem.In addition to designing meaningful research questions and analyzing the resulting data, you must be able to see a full loop vision that goes beyond experimentation to conceptualizing design solutions, collaborating closely with multiple teams to ensure the relevance and impact of your work to business stakeholders. You will be responsible for developing new predictive and optimization models, as well as algorithms for key applications and discovering new ways to solve organizational problems. Successful candidates will have a deep knowledge of quantitative modelling in at least one area (ML, optimization, multivariate statistics), the ability to build and refine prototype models that can be implemented in production, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long-term problems.Key Responsibilities:· Conceptualize and lead global research initiatives· Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects.· Functionally decompose complex problems into simple, straight-forward solutions.· Share deep knowledge in statistics, machine learning, multivariate modeling, or optimization research applicable to our problem space.
MULTIPLE POSITIONS AVAILABLEEntity: Amazon Advertising LLCTitle: Data ScientistLocation: New York, NYPosition Responsibilities:Applying marketing Insight to develop the product, technology and deployment roadmap for advanced analytics and insights products for our advertiser success team. Applying consumer insight of business information needs of advertising clients to envision new advertising products and tools. Using data curation and applying models that yield actionable insights to innovate for customers. Partner with engineering and platform teams to develop and scale a successful proof of concept. Communicating with users, technical teams, and senior management to collect requirements, describe data modeling decisions and execute data engineering strategy.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is used daily by a massive audience on Amazon's websites and through a variety of devices including the Kindle Fire, game consoles, smart TVs and Blu-ray players. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. Movies range from new releases to classic favorites, and Prime Video offers major television episodes, entire seasons, or even day after air TV.The Prime Video Content Analytics team uses machine learning, econometrics, and data science to optimize Amazon’s streaming-video catalogue, driving customer engagement and Prime member acquisition. We generate insights to guide Amazon’s digital-video strategy, and we provide direct support to the content-acquisition process. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to predict and understand what customers like to watch.We are looking for a data scientist to build innovative systems for measuring the impact of engagement with Prime Video content. Key responsibilities of Prime Video data scientists include the following:· Optimizing the digital video catalog to improve customer experience and grow the Amazon business.· Improving model usability by analyzing customer behavior and by gathering requirements from business owners and other tech teams. Incorporating new data sources and implementing creative methodology innovations to improve model performance.· Creating and tracking accuracy and performance metrics.· Helping build production systems that take inputs from multiple models and support decision making.
Alexa is the groundbreaking cloud-based voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our mission is to push the envelope in Machine Learning (ML), Artificial Intelligence (AI), Natural Language Understanding (NLU), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Senior Machine Learning Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to augment and enhance voice centric intelligent systems. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will collaborate with other scientists and work in a fast paced team environment. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.
Amazon delights millions of customers around the world. Meet PI-Squared, the behind-the-scenes team, that enables our HR and Operations Leaders to make informed decisions and improve the overall experience of a million frontline employees and leaders throughout their journey at Amazon. Our diverse team of statisticians, machine learning experts, and social scientists strive to make Amazon HR the most scientific HR organization in the world. We form hypotheses about the best talent acquisition, talent retention, and talent development techniques, and then set out to prove or disprove them with experiments and careful data collection.The ambition of Amazon HR is to be the most scientific organization in the world. We bring data and machine learning into management science to deliver workforce, associate experience, and leadership insights so Amazon leaders can focus their efforts in ways that will engage, retain and grow their talents. You will have the opportunity to work with operation leaders across different business lines to gain deep insights into Amazons’ daily operation and directly impact productivity, quality, and safety of hundreds of thousands of employees’ everyday life.Roles and Responsibilities:(1) Undertake econometric / statistical analysis to measure impact of various initiatives in the HR space.(2) Design and measure experiments(3) Undertake qualitative analysis to augment the findings from quantitative studies(4) Build scalable analytic solutions using state of the art tools based on large datasetsThis role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods. Preference will be given to candidates with additional experience in qualitative analysis in a variety of settings such as focus groups, field studies, surveys, and observational studies.The ideal candidate will be:· A Well-Rounded Athlete –Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.· A Perpetual Student – You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to challenges they had not yet identified.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.
As the most customer-centric company on earth, Amazon is leading the way in Customer Service (CS) and recognized as #1 in the world. The Worldwide Defect Elimination (WWDE) organization in CS drives Amazon towards the creation of a defect-free customer experience by building technology and mechanisms to detect, escalate, and eliminate customer experience defects before they impact customers. To achieve this, we must understand what our customers are saying through different customer feedback sources including CS contacts, product reviews, return comments, and social media posts. Customer feedback is often in free form language and unstructured formats, requiring advanced science and engineering to derive insights.We are looking for talented Machine Learning (ML) scientists to build innovative and scalable models using state-of-the-art ML and Natural Language Processing (NLP) techniques to help Amazon understand Voice of the Customer and provide the perfect customer experience. Are you passionate about solving real world problems by analyzing and modeling millions of customer feedback data points every day and creating cutting-edge algorithms? Do you enjoy working on challenging problems, and implementing/deploying your ideas at scale? Are you capable of building end-to-end solutions that deliver significant benefits to the business in a fast pace environment? Will you bring innovation and simplicity to the team? If so, you are invited to join the WWDE Science Team.Major responsibilities:· Understand business challenges as well as identify gaps and new opportunities by analyzing and extracting relevant information from large amounts of both structured and unstructured data· Take the lead on medium-to-large business goals, and work on large-scale scientific projects, systems and processes· Use statistics, NLP and deep learning techniques to create scalable, efficient, and automated solutions for business problems· Collaborate with tech and product teams on model building strategies and model experiments, implementation and continuous improvement· Prototype and implement novel ML algorithms and statistical approaches· Coach and mentor junior scientistsAmazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation /Age
At Amazon, we are committed to being the Earth’s most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon’s cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.You will be joining the EU Lifecycle team is to evolve the onsite experience by understanding and serving the needs of customers at each stage of their relationship with Amazon. You will contribute to doing this by helping us identify the right promotions to show a customer given their interests and intent on Amazon using challenging machine learning and data analysis solutions. You will be exposed to cutting edge big data and machine learning technologies and you'll be part of a key effort to improve our customers experience.We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems, to name just a few. You will own the definition, training and validation of the machine learning models, and you will work closely with the software engineering team to deploy and operate these models at scale.Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process!
The Director of Economics, WW Consumer Finance will lead a team of Data Scientists, Economists and Software Engineers responsible for reporting and attribution on changes to the Worldwide Consumer business due to both Macro (external) and Micro (internal) factors.The existing team focuses on Macro factors and delivers business insights by building automated tools and algorithms to understand the impact of trends and shocks (e.g. Brexit, Hurricanes) on Amazon customer behavior. The team’s mission is to provide Amazon’s Consumer Shopping business with tools and analysis to measure, test, and predict the impact of external events and trends on our customers’ interaction with the Consumer business. The team owns software systems that provide tools for scaling data science and econometric insights to Financial Analysts, provides advanced analysis education, and manages external data that benefits the WW Consumer organization.In addition to leading the existing team, the Director will build out a Micro attribution capability. The Micro function will add the tools and skill sets necessary to quickly report on causal attribution for internal Amazon changes. The Micro team will have the audit capability to track how projected downstream program benefits are actually realized and adjust future projections accordingly. The Micro function will rely on data science capability and tooling to be able to accommodate the more granular Micro data and rapidly changing internal business drivers.The Director will also provide thought leadership and career development coaching to other Data Scientists and Economists embedded on other teams throughout the WW Consumer Finance organization. The Director and his/her team will be a central science resource, and will provide consulting and governance across the WW Consumer Finance organization.We are looking for a seasoned economist and leader who is able to lead a multi-disciplinary team of experts into success through innovation and cross-functional collaborations, with the ability to translate science and data into practical advice that the business will use to make decisions. In this role you’ll need to be a strategic thought partner who brings people together across functions, a persuasive executive coach, and an organized and inspiring team leader.
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Sponsored Brands Recommendations team is a versatile environment, with a wide variety of challenges. We focus on helping advertisers by providing recommendations to help them achieve their goals. We look at mega size data from both retail and advertising space, and coming up with ML based recommendations through multiple products.As a Data Scientist, you will solve real world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with scientists, engineers, BIE's, product managers. The successful candidate should have a strong quantitative background and excellent data analytics / math skills.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation#sspa
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?The Role:“If you do not work on an important problem, it's unlikely you'll do important work.” – Richard HammingWe have important problems to solve. There are great, world-changing products that should exist, but do not, because the technology to enable them does not exist. Yet. That’s where you come in.We are a smart team of doers that work passionately to apply cutting-edge advances in and to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet.Key responsibilities will be to conduct research and development in algorithms and to collaborate with cross-functional engineering teams, including Amazon Robotics, to put the concepts you develop into production. You will determine where commercially available solution and academic research can be applied to solve Amazon business problems, as well as identify opportunities for innovation. You will use a large amount of data to train and test algorithms to bring them up to production level quality.If this describes you, come join our team at Lab126 in the heart of Silicon Valley. An Applied Scientist on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential. The role includes the following:· Research, design, implement and evaluate novel algorithms· Work on large-scale datasets, focusing on creating robust, scalable and accurate systems in versatile application fields· Collaborate closely with team members on developing systems from prototyping to production level· Collaborate with teams spread all over the world· Work closely with engineering teams to drive scalable, real-time implementations· Track general business activity and provide clear, compelling management reports on a regular basis