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Applied Scientist
US, WA, Seattle
Passionate about books, reading and Demand Science? Kindle/Books Demand Science team is seeking an experienced Applied Scientist to unlock the power of the information stored in the 1B+ searches, clicks, purchases, reading and borrows. A successful candidate will bring deep technical expertise, desire to positively impact Books customer experience, and passion for Science.Please visit https://www.amazon.science for more informationThe Kindle/Books Demand Science team is developing our Demand Science arm to optimize supply chain outcomes for Books. We look to optimize these outcomes by applying an understanding of our customer’s preferences and behaviors through initiatives including:· Building and refining demand forecasts which are explainable and actionable· Better serving our customers by understanding their content preferences amongst our various reading formats and programs· Developing a deep understanding of content substitutability and complementarity and its impact on demandCore Responsibilities· Leverage the latest advancements in ML to lead the research efforts in adopting/creating ML science for books· Develop and deploy (in partnership with Engineering, Science and Product Management teams) ML models that power specific applications· Develop, explain, and socialize evaluation metrics for ML models· Mentor and collaborate with other scientists on basic and applied research
Data Scientist II
CA, ON, Toronto
Amazon Sponsored Ads is one of the fastest growing business domains and we are looking for talented scientists to join this team of incredible scientists to contribute to this growth. We are still in Day 1 and there is an abundance of opportunities that are yet to be explored. We are a team of highly motivated and collaborative team of machine learning and data scientists, with an entrepreneurial spirit and bias for action. We have a broad mandate to experiment and innovate, and we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Sponsored Products (SP) Bids and Budgets team is focussed on helping advertisers set their campaign bids and budgets in an optimized fashion. The team owns optimization and recommendation systems that provide advertisers with controls as well as guidance to set optimal budgets. These services are powered by backend machine learning algorithms that interact and build upon a wide range of components such as CTR prediction, dynamic pricing, ranking, ad relevance, ad quality, query understanding, recommendation systems, and much more. Our technology enables thousands of brands, vendors, sellers and authors to drive discovery and sales of their products across millions of customers.We are looking for an Data Scientist to build the next generation of optimization and recommendation services for advertisers. You will be expected to demonstrate strong ownership, and should be curious to learn and leverage multi-modal data (textual, image, etc.) to help advertisers optimize their performance. This role specifically will focus on building data science systems for bids and budgets. This role will challenge you to utilize cutting edge machine learning techniques in the domain of multi armed bandits, reinforcement learning, natural language processing (NLP), deep learning, and image recognition to deliver significant impact for the business. The ideal candidates should be able to work cross functionally across multiple stakeholders, synthesize the science needs of our advertisers, develop models to solve business needs, and implement solutions in production. Hence, we would expect them to be independent, have a natural bias to action, strong communication skills, and be agile to make continuous incremental progress on a project without losing focus of the end goal.As a Data Scientist on this team 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 Applied Scientists, Engineers, BIE's, and Product Managers.· Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.· Deliver with independence on challenging large scale problems with ambiguity.· Manage and drive the technical and analytical aspects of Advertiser segmentation; continually advance approach and methods.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Apply statistical or machine learning knowledge to specific business problems and data.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Build decision-making models and propose solution for the business problem you defined· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.· Utilize code (python or another object oriented language) for data analyzing and modeling algorithms.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
Deep Learning Scientist, Speech and Vision
PL, Warsaw
Our team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies. We not only work on giving Alexa, the ground-breaking service that powers Echo, her voice, but we also develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.We are looking for a passionate, talented, and inventive Deep Learning Scientist to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers.As a Deep Learning Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to advance the state of the art in speech synthesis.Position Responsibilities:· Participate in the design, development, evaluation, deployment and updating of data-driven models for text-to-speech applications.· Participate in research activities including the application and evaluation of text-to-speech techniques for novel applications.· Research and implement novel ML and statistical approaches to add value to the business.· Mentor junior engineers and scientists.
Sr. Data Scientist
US, NY, New York
Amazon Live is looking for a passionate, talented and creative Sr. Data Scientist to help build industry-leading content recommendation technology. This is a unique, ground floor opportunity to create best in class interactive and personalized shopping experience.A day in the lifeAs a Sr. Data Scientist, you will design, evangelize, and implement solutions to address complex business questions using advanced statistical techniques, experimentation, and big data. You will partner with business and tech leaders to conduct experiments and draw insights from statistical analyses. You will spearhead building ML models and tools that drive continuous improvements of our customer’s experience.About the hiring groupAmazon Live is a new and rapidly growing shopping experience that leverages the interactivity of live streams to help customers discover cool new products and content creators. Our mission is to revolutionize the way customers shop and discover products on Amazon. Check us out on: https://www.amazon.com/liveJob responsibilitiesWe are looking for creative thinkers who can combine a strong analytical toolkit with a desire to continue innovating, and who are able to execute and deliver on big ideas.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Senior Deep Learning Scientist
PL, Warsaw
Our team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies. We not only work on giving Alexa, the ground-breaking service that powers Echo, her voice, but we also develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.We are looking for a passionate, talented, and inventive Senior Deep Learning Scientist with a background in Machine Learning, to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers.As a Deep Learning Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to drive the state of the art in speech synthesis.Position Responsibilities:· Participate and lead the design, development, evaluation, deployment and updating of data-driven models for text-to-speech applications.· Participate in research activities including the application and evaluation of text-to-speech techniques for novel applications.· Research and implement novel ML and statistical approaches to add value to the business.· Mentor junior engineers and scientists.
Sr. Research Scientist - Sustainability / Carbon Neutralization
US, WA, Seattle
Amazon’s commitment to The Climate Pledge motivates us to work both inside and outside of our business operations to enact carbon emissions mitigation. Along with the emissions reduction initiatives within our business operations, we have a robust strategy aligned with climate science for tackling climate change outside of our business, beginning with nature-based solutions. For example, in April 2021 Amazon announced its leading role in the LEAF Coalition – an initiative that aims to raise global climate ambition and contribute to halting tropical and subtropical deforestation and forest degradation by 2030. As we continue to develop and innovate, Amazon is seeking an experienced Research Scientist to help us identify, evaluate, and guide research efforts in nature-based solutions as well as emerging areas. The ideal candidate will have a deep understanding of carbon cycles and be able to evaluate projects and initiatives across a wide range of natural and technological climate mitigation measures from a first-principles perspective. They will have expertise in one or more types of climate solutions, but more importantly will understand the broad field of solutions.The successful candidate will be part of the team executing on Amazon’s commitment to The Climate Pledge. They will need to work with others to create a system to evaluate nature-based and technological climate solution projects, and make recommendations to senior leadership. This will require strong writing skills and an ability to translate technical material for a general audience.Key Responsibilities:· Evaluate nature-based and technological climate solution projects using a scientifically rigorous first-principles approach.· Evaluate project and research proposals.· Collaborate with internal and external teams to scope, execute, and evaluate highly technical initiatives related to nature-based and technological climate solution projects.· Translate findings into reports and presentations that can be shared internally and externally.· Respond to time-critical questions from multiple business teams and communicate professionally with senior business leaders.
Data Scientist
US, VA, Arlington
Come and build innovative services that protect our cloud from security threats. As an AWS Security Data Scientist, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with security engineers, software development engineers, and other data scientists across multiple teams to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!Mentorship & Career GrowthOur team is dedicated to supporting new team members. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, junior data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.We care about your career growth. We create opportunities for you to continuously develop into a more well-rounded leader and builder, enabling greater customer impact and influence over time.Inclusive and Diverse CultureOur team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a cool service, but we also believe a big reason for that is the inclusive and welcoming culture we cultivate every day.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we’ve been building.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team values work life balance. We are passionate about the capabilities we build, and we are responsible for our on-call rotation to ensure our services bring value to our customers. We understand that life is challenging and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs.
Economist - AMZ4364
US, WA, Seattle
Would you like to join a fast-paced team creating cutting edge econometrics and machine learning tools used to enhance the lives of Amazon Prime members worldwide? If so, the Prime Economics and Machine learning team is looking for you! We are seeking a talented economist to help us build the next generation of counterfactual modeling tools in Prime. This team is comprised of economists, applied scientists, software/data engineers, and product managers. We work closely with senior Prime leadership to model the implications of company-wide strategic decisions and expect our models to increasingly power customer-facing software systems.A day in the lifeYou build econometric models of Prime customer behavior from scratch. This involves exploring data to motivate modeling assumptions and proposing identification strategies, statistical estimators, and finite/large sample inference strategies. This science usually combines tools from machine learning, reduced-form causal inference, and structural econometrics, often leading to the creation of novel estimators. You vet your work with a team of econometricians, PhD computer scientists/applied mathematicians/statisticians, and well-known academics who serve as Amazon Scholars. You build science using the latest distributed computing infrastructures (e.g., PySpark), partnering with our data/software engineers and product managers to turn this science into scalable, system-facing, high-impact software.About the hiring groupWhat makes our team unique is three things. First, it has a broad mandate to model customer behavior (given that Prime is Amazon’s flagship membership program). Second, we build cutting-edge customer-level simulations using a variety of statistical tools (ML/econometrics/causal inference). This simulation capability is fairly unique across economics/ML-building teams at Amazon, creating green-field scientific and engineering challenges to invent solutions for. Third, given Prime's central role within the company, we have extensive access to senior company leaders, since we often provide timely insights for important strategic decisions. In other words, Prime science serves a "central brains" function for Amazon.Job responsibilitiesMULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLC, an Amazon.com CompanyTitle: EconomistWorksite: Seattle, WAPosition Responsibilities:Work directly with a team of economists and senior management on key business problems faced by Amazon Prime and Prime benefit teams. Apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Build econometric models using company data. Apply economic or econometric theory to solve business problems. Develop new techniques to process large data sets, address quantitative problems, and contribute to the design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity, and IV) or forecasting (essential time series models). Leverage big data tools for data extraction. Write up and present analyses for distribution to various levels of management at Amazon.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Principal Applied Scientist, CBA
US, WA, Seattle
Customer Behavior Analytics - Cross Channel Measurement (CBA-XO) is looking for an experienced principal scientist to lead a team of talented and passionate applied scientists in the fields of Upper Funnel Measurement. A successful candidate will have strong foundations in mathematics, statistics and machine learning with exceptional communication and leadership skills, and a proven track record of delivery under tight deadlines. Hands-on experience with large-scale, state-of-the-art customer behavior understanding, information retrieval and causal inference is a plus.CBA-XO’s mission is to make Amazon’s marketing the most measurably effective in the world. Our long-termobjective is to measure the incremental impact of Amazon’s marketing investment on customer’s perceptions and actions across Paid, Owned and Earned marketing activity. As an Applied Scientist, you will lead a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art, and apply these advances to solve real-life problems that will inform billions of dollars worth marketing strategy decisions. Your work will directly impact our marketing decisions and will have senior leadership visibility. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources.As a Principal Applied Scientist, you will play a pivotal role in shaping the definition and vision for applied science across teams within CBA. We have a diverse portfolio of projects that are in measurement, customer behavior, targeting domain. You will work in an agile, startup-like development environment, where you are always working on the most important things, and you will design, implement, test, deploy and maintain innovative software solutions.
Machine Learning Scientist
US, WA, Seattle
Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award-winning original content, add-on subscriptions including HBO and Showtime, and live events like Thursday Night Football and Major League Baseball. We are a premier provider of digital entertainment worldwide and we continue to grow very quickly! We need your passion, innovative ideas, and creativity to help continue to deliver on our ambitious goals.Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience ? Do you want to build advanced algorithmic systems that help millions of customer every day? If yes, then you may be a great fit to join our Amazon Prime Video team.A day in the lifeAs an applied scientist, you will apply your knowledge of deep learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models.You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels.About the hiring groupWe are expanding our scene understanding team to drive compliance automation and exceptional customer experience using machine learning, computer vision, audio processing, and natural language understanding. Automation of video understanding at scale is our mission and passion. We need to solve problems across many cultures and languages. we have a huge amount of human-labelled data, and operation team to generate labels across many languages. Our team innovates, with many novel patents, inventions, and papers in the motion picture and television industry. We are highly motivated to extend the state of the art.Job responsibilitiesAs an applied scientist, you will apply your knowledge of deep learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. This is a greenfield with no "off-the-shelf algorithms" that can perform the job. We experiment a lot and it is a must to learn and be curios. You will be encouraged to see the big picture, be innovative, and positively impact millions of customersWe embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Data Science Leader, Communities
US, WA, Seattle
The Selling Partner Communities and Empowerment (SPCE) organization builds lasting connections with, and helps drive the success of our Selling Partners. We achieve this by: (1) Providing effective channels for multi-directional engagement with Amazon, (2) Fostering an active and helpful community and information exchange among Selling Partners; (3) Amplifying awareness for and investing in the economic empowerment of small businesses and underserved business populations; (4) Understanding Selling Partners’ perceptions of, and being internal advocates to improve, their experience selling on Amazon; (5) Ensuring that public perception mirrors the reality that Amazon’s stores are a great place for Selling Partners to build and maintain a thriving business; and (6) Accelerating and strengthening third-party advocacy and partnerships that benefit Selling Partners.We are looking for a self-driven, experienced and passionate Data Science and Analytics leader to join this new and growing team. The successful candidate will work closely with business and tech stakeholders to design and build reporting and analytics, including statistical and machine learning models, to answer complex business questions that provide insights to influence customer behavior. The ideal candidate is able to not just hold their team to a high standard of data quality and excellence in the work delivered but also to surprise and delight stakeholders and take the business to the next level by uncovering insights and proposed actions through analytics.The role’s key responsibilities will include:· Strong leadership and vision for how to drive the team to create changes in business partnerships, analytics, and metrics/reporting· End to end ownership of the data and analytics workstream, including gathering inputs from leadership and partner teams, roadmap planning and prioritization and promoting best practices· Influence senior leadership and other data & analytics teams.· Build, lead and develop a team of BIEs, DEs, BAs and Data Scientists, showing the ability to hire, mentor and develop a high-performing team.· Drive deep understanding of Selling Partner engagement, sentiment and perception on and off Amazon, develop segmentations, and help invent ways to measure engagement and tie actions to improvements in perception, and improvements in perception to downstream business impact by identifying, developing, and executing analyses, machine learning capabilities and models.· Navigate ambiguity; identify and tackle strategic opportunities and problems we don’t even know exist or have not fully defined through data.· Develop a long term analytical strategy and self-service reporting capabilities and drive the implementation and adoption of that strategy.
Senior Research Scientist
IN, KA, Bangalore
Amazon.com is seeking a Senior Research Scientist within its global Customer Behavior Analytics (CBA) org. Amazon’s CBA org is focused on maximizing the value of Amazon’s customer base for all Amazon properties worldwide. The team is highly results oriented, and is focused on leveraging in-house technology in order to automate and scale marketing programs that drive new customers and maximize lifetime value of Amazon customers through measurable marketing programs and channels.We are looking for a Senior Research Scientist to join our efforts to build the next generation of analytics systems measuring marketing ROI using machine learning and econometrics at big data scale at Amazon. You will work with distributed machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to match customers and products/offers based on probabilistic reasoning.The Senior Research Scientist will be a technical player in a team working to develop ultra-scale platforms for machine learning, and help develop new, revolutionary approaches that optimize Amazon’s systems using cutting edge quantitative techniques.You need to be fluid in:· Data warehousing and EMR (Hive, Pig, R, Python).· Feature extraction, feature engineering and feature selection.· Machine learning, causal modeling, statistical algorithms and recommenders.· Model evaluation, validation and deployment.· Experimental design and testing.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Senior Machine Learning Scientist
US, WA, Seattle
Do you want to know about new movies and TV shows that you'll enjoy the day they come out? So do millions of our customers, world wide. Did you know we have a wide range of niche content including Natural Park documentaries, Kung-fu movies, or Korean dramas on our service? No? Well, we're looking to change that. Come be part of history, as we fulfill Prime Video's vision of being customer's first place to find something to watchA day in the lifeWe're using cutting edge approaches such as graph convolutional networks (GCNs) to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external ML conferences (e.g. https://dl.acm.org/citation.cfm?id=3292500.3330675).About the hiring groupPrime Video Recommendation science team owns different aspects of personalization algorithms, from user-item relevance, item-item relevance, and page composition, to name a few. We work closely with the engineering teams to put our models in production.Job responsibilities· Develop ML models for various recommendation systems using deep learning, online learning, and optimization methods· Work closely with engineers and product managers to expand the depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps· Provide technical and scientific guidance to your team members· Stay up-to-date with advancements and the latest modeling techniques in the field· Publish your research findings in top conferences and journalsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Manager, Applied Science
US, WA, Seattle
Amazon’s Sustainability Science and Innovations (SSI) organization creates the tools and data to map, measure, and model Amazon's environmental and social impacts at enormous scale.The Role:We're looking for an outstanding Science Manager who combines technical, research, and team management capabilities with a demonstrated ability to get the right things done quickly and effectively.In this role you will lead a team of scientists and will also be responsible for conducting assessments of environmental and social issues across Amazon, evaluating the sustainability impacts of supply chains, from manufacturing, to transportation, to consumer use, to end-of-life. This candidate will also possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders.This is a unique opportunity for someone who wants to combine their passion for sustainability, solving customer problems using data, and building cutting edge machine learning solutions. You will be expected to dive deep into large-scale economic problems, enable measurable actions on the Sustainable economy, and work closely with a large team of scientists and economists. We are particularly interested in candidates with experience building predictive models with Amazon data.Key Responsibilities:· Manage sustainability-related research projects through all stages: framing, data collection, analysis, modeling and visualization, and reporting.· Lead and develop a team of scientists.· Create tools and methods to harvest and continuously update data to provide sustainability insights at scale.· Respond to time critical questions from multiple business teams.· Professionally communicate to senior business leaders.· Work closely with software engineering teams to drive real-time model implementations and new feature creations.· Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.
Applied Scientist: Human and Machine Learning
US, VA, Arlington
Amazon’s Global Learning & Development (GLD) Learning Science and Engineering team is growing quickly and is looking for a skilled, driven, applied scientist to develop solutions and innovate at the intersection of human and machine learning.The Learning Science and Engineering org is reinventing workplace learning by building the programs, products, technologies and mechanisms that make learning effective and scalable for Amazon employees. We use machine learning to augment human decision-making to accelerate and personalize learning and skill development. We have a passion for raising the bar on learning and learning design at Amazon, and simultaneously contributing to the science of human and machine learning. We partner with multiple businesses across Amazon to explore ways to help Amazon employees grow their knowledge and capabilities. We publish research and present our work at internal and external conferences.We are looking for someone with a passion for learning and experience applying machine learning to augment human decision-making. The role will continuously improve learning programs using an array of creative approaches which drive productivity, innovation, and operational excellence. As an Applied Scientist, you will be working with scientists, engineers, learning designers, product managers, and stakeholders to deliver products or features of products that accelerate learning.Specific responsibilities include:· Design, develop, and implement models and solutions to support collaborative learning environments that can help accelerate human learning.· Deliver Machine Learning solutions to improve learning experiences that can help learners learn more effectively and efficiently.· Deliver data-driven solutions to assist learning designers to scale up best design practices.· Deliver innovative and impactful solutions that can solve customer pain points.· Deliver scientific findings about human learning to the broader science communities.
Data Scientist
US, PA, Pittsburgh
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.As a Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.· Major Responsibilities · Apply data science and machine learning (ML) technology to evaluate and improve Alexa ASR · Train and evaluate neural models using Amazon's proprietary ASR technology · Analyze the accuracy and performance of ASR models · Assist in deploying, maintaining, and supporting Alexa’s ASR systems in production · Design and implement software to collect, simulate, analyze and prepare data sets for developing and analyzing Alexa ASR systems
Data Scientist, Advertising Revenue Recommendations
US, WA, Seattle
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!To be successful with Amazon Advertising, customers need to receive high quality recommendations that inform them of the right opportunities that help grow, defend and drive their business. To generate these high quality recommendations, we must discover differentiated insights that allow advertisers to understand the performance of their business over time, and performance and growth against their peers. This requires us to create models that predict successful outcomes for customers, create workflows for implementation, and measure the downstream impact of our recommendations. Our science investment in this area helps advertising customers choose when to make changes to their advertising strategy, specifies the changes to make to drive their strategy, and predicts how their business will change as a result.Job Responsibilities:· Contribute to customer-facing products; provide insights and metrics to track recommendation performance & downstream impact.· 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, and Product Managers.· Utilize code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.· Apply statistical or machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you defined· Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.· Deliver with independence on challenging large scale problems with ambiguity.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
Research Science Manager
US, VA, Arlington
Amazon’s global workforce composition is incredibly complex with unique problems to be solved for each line of business. Our vision in Connections Research is to use science and analytics to surface the most impactful and personalized insights for each of our customers at scale. Amazon Connections is changing the way that we use the voice of employee to improve business outcomes and the employee experience. We ask employees quick questions every day to get early signals and to learn more about their experiences that allow early interventions and positive changes with internal business partners around the world.We are looking for a seasoned analytics manager to build and lead an interdisciplinary team of scientists and develop algorithms to implement adaptive and personalized question content scheduling, research and identify deep insights algorithms personalized to each customer, partner with our dev and product teams to successful integrate these models into production systems, and develop new strategies to build and deploy new science based insights products that provide added business value.You will be responsible for:· Breaking new ground and developing the short and long term strategy for science supported insight personalization products.· Going deep and provide technical leadership on execution, reviewing code, and challenging/mentor/develop the team to think critically about their approaches and trade-offs.· Interface with internal customers to understand requirements, set priorities and communicate direction and progress· Managing and quantifying the value of improvement with various streams of work and optimizations to inform leadership decision making· Collaborate with a wide range of science teams to leverage their domain expertise in enhancing insights personalization products.
Senior Applied Scientist
HK, Causeway Bay
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.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers.We are looking for Senior Applied Scientists who can help us take our products to the next level who has deep passion for building machine-learning solutions; ability to communicate data insights and scientific vision, and has a proven track record of execute complex projects.As an Senior Applied Scientist in Machine Learning, you will:· · Conduct hands-on data analysis, build large-scale machine-learning models and pipelines· · Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production· · Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management· · Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving· · Provide technical leadership, research new machine learning approaches to drive continued scientific innovation· · Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences· · Help attract and recruit technical talent
Applied Scientist
US, CA, Irvine
Take the earth's most customer-centric company. Mix in millions ofshoppers spending billions of dollars annually and an opportunity to useyour skills in machine learning and data mining to improve productrecommendations and search. What do you get? The best job in theinternet today - PERIOD.The charter of Amazon’s Personalization team is to recommend the “right" product to the “right" customer at the “right" time. We generatepersonalized product recommendations for millions of customers each day, in a blink of an eye, thousands of times a second.If you are a strong software engineer with a background in MachineLearning, who is passionate about turning massive amounts of data intoactionable insights, then this is the right opportunity for you.You will work with a team of highly skilled and motivated scientists andengineers, who are building the next generation of personalizationproducts at Amazon. Our team advances the state-of-the-art inpersonalization by using machine learning, and leveraging Amazon’s vast computing resources (AWS) and data. As part of your job, you will deal with large amounts of training data, rapidly prototype new models that meet stringent performance requirements, and perform offline and online testing.Major responsibilities:- Research and use of statistical techniques to create scalablesolutions for business problems- Analyze and extract relevant information from large amounts ofAmazon's historical business data to help automate and optimize keyfeatures and processes- Work closely with scientists and engineering teams to create anddeploy new features- Work closely with stakeholders to optimize various business operations- Establish scalable, efficient, automated processes for large scaledata analyses, model development, validation and implementation.- Track general business activity and provide clear, compellingmanagement reporting on a regular basisBy submitting your application here, you can apply once to be considered for multiple Software Engineering openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/usAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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