Research Area

Information and knowledge management

Developing machine learning techniques to enrich product-related information from Amazon detail pages and the Internet at large.

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US, WA, Seattle
An information-rich and accurate product catalog is a strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a large selection, and positions Amazon as the first stop for shopping online. We use data analysis and statistical and machine learning techniques to proactively identify and fix item-item relationships within the Amazon product catalog. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages) and multitude of input sources (millions of sellers contributing product data with different quality).Amazon’s Item Authority group is looking for an innovative and customer-focused senior applied scientist to help us make the world’s best product catalog even better. We believe that failure and innovation are inseparable twins. In this role, you will partner with technology and business leaders to build new state-of-the-art algorithms, models, and services to infer product-to-product relationships that matter to our customers. You will work in a collaborative environment where you can experiment with massive data from the world’s largest product catalog, work on challenging problems, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers.
US, WA, Seattle
Fresh is an important and rapidly growing part of Amazon’s future, providing home delivery service on a broad selection of grocery items including fresh produce, locally sourced meat and seafood, dry goods, and specialty and prepared food. Our rapidly growing organization produces innovative and delightful customer experiences for Fresh/Prime Now across mobile, tablet and desktop products.As an Applied Scientist you will solve machine learning problems around image processing, feature detection and natural language processing. You will work with a creative and multi-disciplinary team of engineers, designers, writers, and marketing experts to build models that help us automatically generate design and marketing content across the entire Amazon grocery offering. The impact of your work will be global, material, and remarkable. Your work will remove cost, deliver speed of execution and delight our customers at scale. Your contributions will be seen and recognized broadly within the Amazon Retail organization, contributing to the Amazon research corpus and patent portfolio.Detailed responsibilities include but not limited to:· Build ML models that contribute to the enhancement of our image processing algorithms· Use applied statistics to drive autonomous creation of design assets and marketing material· Harness natural language processing to audit and improve customer messaging· Collaborate with our software team to create scalable production implementations for large-scale rendering pipeline.· Provide clear, compelling analysis that shapes the direction of our business.
CA, ON, Toronto
Excited by using massive amounts of data to create sophisticated security analytics? Does pushing the envelope with user and entity behavior analytics (UEBA) including developing statistical, stochastic and machine learning models for security excite you? Want to help the largest global enterprises operate safely & securely in the cloud at an unprecedented scale?You will enhance real-time proactive and preemptive systems using data driven techniques. The analytic techniques are applied at each stage from detection to response mitigation. This job will challenge you to dive deep and understand the unique challenges in operating this platform at a scale unrivaled in the industry. Our scale provides unique opportunities that simply don’t exist elsewhere, but these opportunities can only be revealed by a scientific thinker with a curious mind, who is committed to improving every single day.This is an opportunity to operate in a truly groundbreaking manner given the sheer scale, breadth, and fast pace of the AWS environment. Data scientists are collaborative and highly determined, working backward from threats to create new and innovative ways to detect, assess and react to malicious activity.Your job is distilling meaningful insights from large volumes of data to address the constantly evolving threat and attack space from sophisticated adversaries. This role will give you an opportunity to use and grow a broad range of skills in data science, analytic development, and information security – all using and creating cloud services in large scale computing environments. Considering the scale and the magnitude of the technical challenge, this role is a great opportunity to make a meaningful contribution to an extremely important area. Operating in the cloud at our scale enables activities that have never before been possible, providing new advantages and opportunities for innovative work.We are hiring technical specialists at the convergence of the four hottest areas in tech: Data Science, Security, Software Development and Cloud Services. Worried that you do not have hands-on experience in all four areas? We are looking for solid base and expertise in two areas - you will grow expertise in the remaining areas to round out your background in all four key areas. Alongside your team, you will work directly with the biggest internal and external Amazon customers – leveraging data and analytics to create innovative ways to work securely in the cloud.
US, WA, Seattle
The People Science Research team supports World Wide Operations (WWOps) at Amazon by using survey research, machine learning, and causal modeling to understand business dynamics, drive behavioral change, support evidence-based decision-making, and help develop innovative, intelligent products that enhance employee experiences. We are looking for a multi-disciplinary, experienced researcher/methodologist who can expertly navigate complex, ambiguous business challenges by asking the right questions, knowing what methodologies to use (and why), efficiently analyzing data, and communicating results to multiple audiences (e.g., technical peers, functional teams, business leaders). The ideal candidate will have a strong bias for action, effective communication skills (writing, interpersonal, public), deep expertise across all facets of research fundamentals (research design, measurement, statistics), the drive to deliver high quality results quickly, and the ability to adapt to ever-evolving work environments and business priorities.A key function for this role will be conducting research supporting WWOps Diversity, Equity, and Inclusion (DEI) goals and initiatives. This includes developing and evaluating measurement and causal models that effectively identify critical employee experiences, attitudes, beliefs, and behaviors that play a role in determining business outcomes including retention, safety, quality, engagement, and productivity. This position will provide substantial exposure to Amazon’s culture, leadership, and global business.Major responsibilities will include:· Managing global-scale research initiatives across multiple business segments of WWOps.· Working with internal partners and external stakeholders to identify and prioritize areas of opportunity to enable an inclusive workforce for business impact.· Collaborating with a cross-functional team that has expertise in social science, machine learning, econometrics, psychometrics, natural language processing, forecasting, optimization, business intelligence, as well as diversity and inclusion research, analytics, and programs.· Implementing a wide range of methodologies to develop, test, and validate measurement and causal models.· Translating research insights into production-ready leading indicators for operational and HR metrics.· Complex querying from multiple data sources, data cleaning, and advanced statistical analysis.· Writing high-quality, evidence-based documents that help provide insights to business leaders and gain buy-in.· Serving as a subject matter expert on a wide variety of topics related to research design, measurement, analysis.· Sharing knowledge, advocating for innovative solutions, and mentoring others.· Contributing to the development of mechanisms that will help further accelerate the state of diversity, equity, and inclusion research.
US, WA, Seattle
Work at the intersection of data science and economics.The DAC AdsEcon Team is looking for a Data Scientist II to help and be part of a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data.Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses econometrics, machine learning, and data science to help advertisers choose the right advertising product to meet their marketing goals. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high level leaders.If you have a background in economics, computer science, statistics, or mathematics and have a passion for solving large, and impactful problems, this is the job for you. Key responsibilities of Data Scientist include the following:· Partnering with economists and senior team members to drive science improvements and implement technical solutions at the cutting edge of machine learning and econometrics· Helping build data systems that leverage diverse data sources to understand how different advertiser’s decisions impact their performance across multiple advertising products.· Build interpretable statistical models and analyze experiment results to answer questions that will drive high impact decisions across Amazon.About Amazon's Advertising business: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.
US, WA, Seattle
Your mission, should you be bold enough to accept it: invent scientific approaches that match today’s talent to the future roles of tomorrow. We’re looking for self-motivated builders to join a data-centric Talent Management team whose goal is to invent new, scalable ways to predict talent needs and to prepare our global workforce to impress our current and future customers. Specifically, this role focuses on creating and validating new measures to guide the best person-to-role fit and organizational designs. As a team, we shape the strategic direction and inform talent decisions at the highest levels.This role is an opportunity to work in unchartered territory, taking ownership and designing new data models from scratch. You will need to have deep statistical and/or machine learning expertise and capable of delivering solid models that can be created into products. Successful candidates will be able to define ambiguous problems, launch talent and role measurement experiments and transform the way we anticipate large scale talent needs and develop our future leaders.We are looking for a technical expert with a bend towards inventing new methods, who can think big and deliver scalable tech solutions to solve tough problems.Responsibilities· Work with our operations and HR customers globally to define and anticipate talent-related challenges· Dive into existing data sources (business, people, finance, role data, etc) as well as pitch and create new measures to inform possible data solves to business problems· Design and execute experiments expertly applying scientific rigor while making real world trade-offs to produce, sooner-rather-than later, actionable wins· Develop new predictive and optimization models as well as algorithms for key applications· Present analytic findings, and more importantly the business impact of and opportunity of the same, to senior leaders· Work in partnership with business stakeholders, HR tech and product owners to convert your data models into products· Continuously seek to innovate as business needs evolve and as you invent new, simpler more effective ways to measure and predict talent and role fit
US, WA, Seattle
Why this job is awesome?· This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.· MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.· We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.- Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site?- Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms 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 Delivery Experience Machine Learning team.Major responsibilities:· Lead a ML team to research and implement machine learning and statistical techniques to create scalable and effective models in Delivery Experience (DEX) systems· Solve business problems and to identify business opportunities to provide the best delivery experience on all Amazon-owned sites.· Design, development and evaluation of highly innovative machine learning models for big data.· Analyzing and understanding large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities· Working closely with other software engineering teams to drive real-time model implementations and new feature creations· Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
US, WA, Seattle
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 front-line 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. We build data science products which help to drive decisions.We are looking for a results-oriented Applied Scientist, who are a highly motivated individual and will be comfortable in a fast-paced development environment. You will be a contributor to the data science production design. You will be building scalable statistical models and doing predictive analytics. You will work with the team of data scientists, machine learning experts, data engineers and software developers and help deploy machine learning products into production. You will also be involved in every aspect of the production pipeline process. It will include portability, scalability, operationalization and test, manage predictive models after deployment, create reproducible pipelines, API endpoints.You are a self-starter who can dive into a project and are as passionate about creating compelling experiences for customers as we are. Come join us to shape the future of people data at Amazon!
US, WA, Seattle
Amazon's advertising business spans across media formats audio, video and display. We are hiring experts in applied machine learning to lead research and development efforts to develop both scientific algorithms and associated systems to optimize video and audio advertising. 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.In this role you will lead the technical vision to leverage machine learning technology to advance video advertising. Your team will invent elegant frameworks for systems engineering, metrics and develop multi-dimensional optimization algorithms that help advertisers test and learn the impact of advertising strategies across channels.As a trusted science leader, you will influence the video advertising business and product strategy. You will partner with business leaders and product managers to develop strategic insights and product roadmap that will help advertisers make decision and execute them as necessary to deploy unique but measurable video ad experiences.You’ll be expected to:· Own technical vision and direction for our video advertising business and associated systems to optimize reach, frequency and return on advertising spend· Hire and lead a team to top-tier technical team.· Partner with product and business teams to develop a compelling vision and roadmap.· Drive efficient execution of new initiatives, including collaboration with advertising and partner teams· Serve as a technical lead on our most demanding, cross-functional projects.· Contribute to intellectual property development through patent generation.
JP, Tokyo
AWS is looking for a customer-obsessed Data Scientist to join the team. AWS has a culture of data-driven decision making, and requires advanced sales technologies that are timely, accurate and actionable. This role will partner closely with the Commercial Sales teams to understand the needs of the team and ensure that the business teams are able to answer hard questions with real data.This individual will participate in business reviews and new-initiatives. They should be able to identify and help close gaps in the information available, as well as predict up-and-coming data-needs when participating in discussions about new products or features.A successful individual should be highly collaborative and organized. You should be capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data-sources, and be capable of participating in and understanding how multiple systems communicate information to one-another.Responsibilities include:- Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.- Translate basic business problem statements into analysis requirements.- Use analytical and statistical rigor to answer business questions and drive business decisions.- Find and create ways to measure the customer experience to drive business outcomes.- Utilize code (Python, R, Scala, etc.) for analyzing sales/marketing data and building statistical models to solve specific business problems- Apply or design highly innovative models for predictive learning, content ranking, and anomaly detection- Analyze and extract relevant information from historical data and open data to help automate and optimize key processes- Analyze key metrics or develop sub metrics to uncover trends and root causes of issues- Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, and share insights and recommendations
US, NY, New York
MULTIPLE POSITIONS AVAILABLEEntity: Amazon Web Services, IncTitle: Applied Scientist IILocation: New York, NYPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, MA, Cambridge
The Amazon Speech team designs and develops the core speech recognition technology used by numerous Amazon products including Amazon Echo, Amazon’s mobile shopping app and various other products and services.You'll be joining a multi-disciplinary team of software engineers and research scientists, that develop and deploy machine learning models to millions of echo devices worldwide. These models are used to wake up echo devices and are critical to magical experience our customers have come to expect.We are looking for passionate, hard-working, and talented Applied Scientists who have experience building innovative, mission critical, high volume applications that customers love. As a Applied Scientist in our team, you will be responsible for data-driven improvements to our models. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.Responsibilities:· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.· · Clean, analyze and select data to achieve goals· · Build and release models that elevate the customer experience and track impact over time· · Collaborate with colleagues from science, engineering and business backgrounds.· · Present proposals and results in a clear manner backed by data and coupled with actionable conclusions· · Work with engineers to develop efficient data querying infrastructure for both offline and online use cases
US, WA, Seattle
Data Scientist IAmazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“cloud computing”). With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your demands require them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.The AWS Sales Analytics team uses machine learning, econometrics, and data science to optimize AWS’ sales strategy across various global programs, driving customer engagement, and developing insights across a global organization. We use detailed customer behavior and AWS usage data to predict and understand our customers and their needs and wants from AWS.The AWS Sales Analytics team is looking for a Data Scientist to join our predictive analytics team to work closely with a team of B.I. Engineers and Analysts to develop and automate data models by creating various tools and machine-learning models to answer complex questions and provide insights. The Data Scientist must be comfortable working with large volumes of data and be able to manipulate data using a variety of tools. They must be able to build scalable tools to not only process the data but transform it into actionable information. In addition, the ideal candidate must possess excellent interpersonal skills, strong written communication skills, and be able to provide thought leadership and guidance to the other members across the team.Role Summary:Key Responsibilities include:· Organize and structure large data sets· Work closely with the teams to define the performance indicators· Determine how the key metrics and performance indicators will be calculated, owned, and managed.· Collaborate with colleagues across AWS Sales, Data Scientists, Economists, and the Worldwide Revenue Operations team to build and manage data infrastructure and models in support of predictive research and other scientific experiments· Dive deep to understand data sets and ensure statistical accuracy to support conclusions· Analyze data and present information to support decision making
RO, Iasi
Location: Romania (Lasi & Bucharest)Duration: 4-6 monthsAmazon is a company of builders. A philosophy of ownership carries through everything we do — from the proprietary technologies we create to the new businesses we launch and grow. You’ll find it in every team across our company; from providing Earth’s biggest selection of products to developing ground-breaking software and devices that change entire industries, Amazon embraces invention and progressive thinking. Amazon is continually evolving; it’s a place where motivated employees thrive, and ownership and accountability lead to meaningful results. It’s as simple as this: we pioneer.With every order made and parcel delivered, customer demand at Amazon is growing. And to meet this demand, and keep our world-class service running smoothly, we're growing our teams across Europe. Delivering hundreds of thousands of products to hundreds of countries worldwide, our Operations teams possess a wide range of skills and experience and this include software developers, data engineers, operations research scientists, and more.About these internships:Whatever your background, if you are excited about modeling huge amounts of data and creating state of the art algorithms to solve real world problems, if you have a passion for using machine learning/mathematical optimization to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software, if you enjoy solving operational challenges by using computer simulations, and if you’re motivated by results and driven enough to achieve them, Amazon is a great place to be. Because it’s only by coming up with new ideas and challenging the status quo that we can continue to be the most customer-centric company on Earth, we’re all about flexibility: we expect you to adapt to changes quickly and we encourage you to try new things.Amazon is looking for ambitious and enthusiastic students to join our unique world as interns. An Amazon EU internship will provide you with an unforgettable experience in a fast-paced, dynamic and international environment; it will boost your resume and will provide a superb introduction to our activities.As an intern in Ops Research and modelling, you could join one of the following teams: Supply Chain, Transportation, HR, Employee Relations and more.You will put your analytical and technical skills to the test and roll up your sleeves to complete a project that will contribute to improve the functionality and level of service that teams provides to our customers. This could include:· Analyze and solve business problems at their root, stepping back to understand the broader context· Apply advanced statistics /data mining/ operations research techniques to analyze and make insights from big data (data sets could include: historical production data, volumes, transportation and logistics metrics, simulation/experiment results etc.) across multiple geographies.· Closely collaborate with operations research scientists, data scientists, business analysts, BI teams, developers, economists and more on various models’ (including predictive/prescriptive models) development.· Perform quantitative, economic, and/or numerical analysis of the performance of supply chain systems under uncertainty using statistical and optimization tools to find both exact and heuristic solution strategies for optimization problems.· Create computer simulations to support operational decision-making. Identify areas with potential for improvement and work with internal teams to generate requirements that can realize these improvements.· Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.· Convert statistical output into detailed documents which influence business actionsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decision based on your experience and skills. We value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.#EUInternHiring
At Amazon Australia, we are developing state-of-the-art large-scale Machine Learning Services and Applications on the Cloud involving Terabytes of data. We work on applying predictive technology to a wide spectrum of problems in areas such as Amazon Retail, Seller Services, Customer Service and so on. We are looking for talented and experienced Machine Learning Scientists (Ph.D. in a related area preferred) who can apply innovative Machine Learning techniques to real-world e-Commerce problems. You will get to work in a team dedicated to advancing Machine Learning technology at Amazon and converting it to business-impacting solutions.Although this position will be based in Adelaide, South Australia, for the duration of the Coronavirus-19 outbreak arrangements will be made to enable the successful candidate to observe the relevant travel restrictions, possibly by working from home, or another Amazon office.Major responsibilities· Use machine learning, data mining and statistical techniques to create new, 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, develop and evaluate highly innovative models for predictive learning· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research and implement novel machine learning and statistical approaches
US, MA, Cambridge
A part of Amazon's Robotics Artificial Intelligence, Canvas Technology is using spatial AI to provide end-to-end autonomous delivery of goods. By using state-of-the-art cameras and other sensors, the system perceives its surroundings with unrivaled vision and fidelity. The system combines a mix of high-performance sensors with simultaneous localization and mapping software that builds and continuously updates maps in real-time, completely automatically. It has the capability to ‘see’ and identify different objects, people, vehicles, and places as it moves and react to moving people and vehicles in an intelligent way.We are seeking an experienced Manager of Applied Science to help guide and lead our team of motion planning scientists and engineers. In this role, you will be expected to help define a team direction for robot planning algorithms, object avoidance and congestion management strategies. This will include providing guidance on system architecture and algorithm selection or design. This is not solely a management role, you will be directly contributing to the implementation while you lead. A successful candidate will have strong technical ability, scientific vision, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced environment.You will be an integral part of the core robotics team and work with others to implement robot motion planning systems above and beyond the current state-of-the-art in the field.If you are an experienced Applied Science Manager, have a track record of delivering to timelines with high quality, are comfortable providing technical direction, have mentored and grown engineers and are deeply technical and innovative, we want to talk to you.
US, WA, Seattle
Are you interested in building, leading and driving the learner experience technical vision, strategy and implementation of a product development effort centered on AWS technologies? AWS Learning Products is hiring a Learning Products Experience Manager to help lead the definition and prioritization of our product development. AWS Learning Products organization is responsible for the AWS Training and Certification product strategy and learner experience while working with AWS products. You will be a senior technical leader in the Learning Products Experience Management team and will be on point to build, and drive the data science and algorithm development needed for our product development. Our goal is to disrupt the current state of learning and development experience at AWS and the cloud world by using data science and machine learning to bring together personalized learning and growth paths that extend beyond what occurs in a Learning Management System (LMS). You are considered a data science leader on your team. You take the lead on large projects and drive solutions to complex or ambiguous problems. You design solutions that help us take advantage of business opportunities (new and existing). You may own the delivery of technical solutions for an entire business application and will partner closely with the central Data and Biz Intelligence team. You are a key influencer of your team’s business strategy are able to influence the strategies of related teams. You work efficiently and routinely deliver the right things with limited guidance. Last, you are externally aware of the state-of-the-art in the data science field and are constantly focused on advancing the state-of-the-art for improving Amazon’s products and services.The ideal candidate will be able to solve complex or critical problems using data science principles that are highly accurate, stable, secure, scalable, and cost-effective. You will have hands-on experience leading multiple simultaneous product development initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, models and methodologies choices.You will strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof. As a Senior Data Scientist, you will be responsible for developing KPIs, costing models, price elasticity analysis, programs, tests and research in order to drive business solutions using computational techniques, and statistics to support strategic and tactical decision-making. The ideal candidate will have significant experience performing large-scale data analysis and reporting and will be responsible for developing, improving and simplifying our models. This person has the opportunity to influence and leverage extensive datasets and provide meaningful insights to improve the customer experience as well as optimize business decisions for AWS.This position requires a solution-oriented candidate with a combination of deep business acumen, expert knowledge of statistics and algorithm development, and an analytical mindset. The candidate must have the ability to work with diverse stakeholder groups to solve business problems and provide data solutions that are organized and simple to understand. This is a highly visible position that will interact at all levels of the business. Become part of this unique opportunity to make history defining the evolution of cloud computing.
US, WA, Seattle
Amazon Alexa AI 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 Natural Language Understanding (NLU), Audio Signal Processing, text-to-speech (TTS), and Dialog Management, in order to provide the best-possible experience for our customers.As an Applied 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.
US, WA, Seattle
Amazon Alexa AI is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Natural Language Understanding (NLU), Audio Signal Processing, text-to-speech (TTS), and Dialog Management, in order to provide the best-possible experience for our customers.As an Senior Applied 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.
LU, Luxembourg
Are you a talented and inventive scientist with strong passion about Artificial Intelligence and Predictive Modeling? Would you like to develop Machine-Learning models by playing a key role within EU RME Predictive Analytics team? Our mission is to drive the Predictive Maintenance (PdM) and Spare Parts (SP) programs for Amazon EU Operations that consists of complex automation, sortation, robotic and materials handling systems.As Machine Learning Scientist you will be working with large distributed systems of data and providing predictive maintenance expertise for over 2000 maintenance engineers, managers and administrators by supporting the entire network managed by EU RME, which may include non-EU locations (such as Singapore, Australia and Japan). You will connect with world leaders in your field and you will be tackling ML challenges by carrying out a systematic literature review of Machine Learning methods applied to PdM. The appropriate choice of the ML methods and their implementation will be the key for the success of the PdM and Spare Parts programs.This role requires an individual with strong skills in the area of data science, Machine Learning and statistics. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and outstanding ability in balancing technical leadership with strong business judgment to make the right decisions about model and method choices.Key Areas of Responsibilities:· Provide technical expertise to support team strategies that will take EU RME towards World Class predictive maintenance practices and processes, driving better equipment up-time and lower repair costs with optimized spare parts inventory and placement· Implement an advanced maintenance framework utilizing Machine Learning technologies to drive equipment performance leading to reduced unplanned downtime· Provide technical expertise to support the development of long-term spares management strategies that will ensure spares availability at an optimal level for local sites and reduce the cost of spares· Facilitate the access to data and tools for the larger Reliability Engineering team to drive reliability insights