Data Scientist, Amazon Transportation Services

US, WA, Seattle

** LOCATION CAN BE EITHER TEMPE, SEATTLE OR NASHVILLE**Amazon Transportation Services (ATS) Line Haul is looking for a talented Data Scientist who will own analytics and develop solutions to drive insights and optimization for Network Planning and Forecasting. As a member of this team, you will have an opportunity to be an innovator in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business stakeholders to design the Amazon network of the future.This position requires innovative thinking, ability to quickly approach large ambiguous problems, technical and engineering expertise to rapidly research, validate, visualize, prototype and deliver solutions. This position also requires significant cross functional work and integration with transportation, tech, operations and finance. Successful candidates will thrive in a fast-paced environment.As you further your career as a Data Scientist at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will examine performance data, discover and solve real world problems related to forecasting, and build critical metrics and business cases. We are focused on your success and want to build and support strong pioneers within Amazon Transportation Services. You can expect to leverage your problem solving skills and have full ownership of the projects you work on.Responsibilities:· Perform complex data research to identify opportunities to reduce fulfillment costs as well as improve efficiencies and customer experience· Design, develop and establish KPIs to provide strategic insights to drive growth and performance· Ability to perform/own reoccurring and ad-hoc business intelligence projects, including the development of advanced statistical models that improve the forecasting capabilities of the Amazon transportation network· Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting· Communicate complex insights to stakeholders, both verbally and in writing

Senior Applied Scientist

US, NY, New York

Amazon Web Services is looking for world class scientists to join the research team within AWS Security Services. You would be entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Macie (https://aws.amazon.com/macie/). On this team, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Key Responsibilities:· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment· Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.· Report results in a scientifically rigorous way· Interact with security engineers and related domain experts to dive deep into the types of challenges that we need innovative solutions for

Research Scientist - WW Operations HR

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 frontline employees and leaders throughout their journey at Amazon. Our diverse team of statisticians, machine learning experts, and social scientists strive to make Amazon HR the most scientific HR organization in the world. We form hypotheses about the best talent acquisition, talent retention, and talent development techniques, and then set out to prove or disprove them with experiments and careful data collection.The ambition of Amazon HR is to be the most scientific organization in the world. We bring data and machine learning into management science to deliver workforce, associate experience, and leadership insights so Amazon leaders can focus their efforts in ways that will engage, retain and grow their talents. You will have the opportunity to work with operation leaders across different business lines to gain deep insights into Amazons’ daily operation and directly impact productivity, quality, and safety of hundreds of thousands of employees’ everyday life.Roles and Responsibilities:(1) Undertake econometric / statistical analysis to measure impact of various initiatives in the HR space.(2) Design and measure experiments(3) Undertake qualitative analysis to augment the findings from quantitative studies(4) Build scalable analytic solutions using state of the art tools based on large datasetsThis role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods. Preference will be given to candidates with additional experience in qualitative analysis in a variety of settings such as focus groups, field studies, surveys, and observational studies.

Applied Scientist

US, CA, Palo Alto

Amazon is investing heavily in building a world-class advertising business to define and deliver a collection of ad products that drive long-term customer value. Our team, Sponsored Brands (SB), owns a mid-funnel ad product dedicated for brand owners. We empower brands of all shapes and sizes to attract shoppers in the research and consideration phases of their shopping journey, through visually stunning, inspiring and relevant sponsored shopping experiences. In doing so, we deliver billions of ad impressions and millions of clicks daily, but are only just getting started.Job Responsibilities:· Design, develop, and deploy machine learning solutions, and communicating science insights, and executing strategic projects.· Work with business partners to design, implement and launch machine learning solutions. Innovate machine learning models and NLP techniques to connect shoppers with brand ads via shopper intent understanding as well as brand ads interpreting.· Ownership over end-to-end machine learning solutions.Impact and Career Growth:· Through precise estimation of shoppers’ interaction with brand ads and their long-term value, you will drive optimal ads retrieval and ranking, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers.· Opportunity to grow and broaden your machine learning skills a make impact – the work you deliver directly impacts customers and revenue!· Work in an environment that thrives on creativity, experimentation, and product innovation.· Have the ability to experiment autonomously with meaningful projects.· Mentor others Applied Scientists.Why you love this opportunity: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.

Applied Scientist II

US, MA, Cambridge

Alexa is the groundbreaking voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our team's mission is the enable Alexa to understand sounds and vocalization beyond speech. As an Applied Scientist, you will work with talented peers to develop novel machine learning algorithms and modeling techniques to advance the state of the art in speech and audio processing. Your work will directly impact our customers in the form of novel 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. You will mentor junior scientists, create and drive new initiatives.

Applied Scientist II

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

Sr. Applied Scientist - Amazon Music

US, CA, San Francisco

Can Alexa help anyone experience the music they enjoy? Even if they don't know what they'd like to listen to in this moment? Or, if they know they want “Happy rock from the 90s”, can she help them find it?Your machine learning skills can help make that a reality on the Amazon Music team. We are seeking an Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval.You'll work in a collaborative environment where you can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.The successful candidate will have a PhD in Computer Science with a strong focus on machine learning, or a related field, and 2+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems. Great if you have a passion for music, but this is not a requirement.Responsibilities:- Advance long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences;- Analyze large amounts of Amazon’s customer data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;- Validate new or improved models via statistically relevant experiments across millions of customers;- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale.Amazon MusicImagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.Come innovate with the Amazon Music team!

Senior Applied Scientist - Amazon Air Science and Technology

US, WA, Seattle

The Amazon Air Science and Technology team is seeking a Senior Applied Scientist to be part of a team solving complex aviation operations problems to reduce cost and improve performance. This is a blue-sky role that gives you a chance to bring optimization modeling, statistical modeling, machine learning advancements to data analytics for customer-facing solutions in complex industrial settings.You will work closely with product, research science and technical leaders throughout Amazon Air, Amazon Delivery Technology and Supply Chain Optimization and will be responsible for influencing funding decisions in areas of investment that you identify as critical future product offerings. You will partner with software developers and data scientists to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, build the machine learning or optimization models that will enable us to continually delight our customers worldwide.The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities. Excellent business and communication skills are a must to develop and define key business questions and build models that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.Tasks/ Responsibilities:· Partnership with the engineering and operations to drive modeling and design for complex business problems.· Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space.· Contribute to the mid- and long-term strategic planning studies and analysis.· Lead complex transportation modeling analyses to aid management in making key business decisions and set new policies.

Research Scientist Intern

LU, Luxembourg

About us:Amazon 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 actions

Research Scientist Intern

UK, London

About us:Amazon 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 actions

Applied Scientist

CN, 11, Beijing

Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for strategy planning, transportation and fulfillment network? Are you interested to cooperate with Amazonians around the world? If so, then this is the job for you.Our team is responsible for creating core analytics tech capabilities, platforms development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional data engineers, scientists, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East.Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon’s worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. You will also improve the efficiency of capital investment by helping the fulfillment centers to improve storage utilization and the effective use of automation. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools.Major responsibilities include:· Translating business questions and concerns into specific analytical questions that can be answered with available data using Statistical and Machine Learning methods.· Design and develop complex mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of inventory management, network flow, supply chain optimization, demand planning.· Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, dynamic programming, network flows and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.· Prototype models by using modeling and programming languages with efficient data querying and modeling infrastructure.· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.

Economist III

US, NY, Virtual Location - New York

Amazon delights millions of customers around the world. Meet the behind the scenes team that enables our Human Resource and Operations Leaders to make informed decisions. The Amazon PeopleInsight team builds reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team getting you lunch in under an hour, or one of many more, the PeopleInsight group is there providing people metrics along the employee lifecycle for our global operations businesses. The PeopleInsight team is a collaborative group of Business Analysts, Business Intelligence Engineers, Data Engineers, Data Scientists, Product Managers, and Program Managers dedicated to empowering leaders and enabling action through data and science. We deliver workforce, associate experience, and leadership insights so Amazon leaders can focus their efforts in ways that will engage, retain and grow their associates.We are now recruiting for an exceptional Data Scientist, Worldwide OperationsThe ideal candidate will be:· A Well-Rounded Athlete –Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.· A Perpetual Student – You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to challenges they had not yet identified.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.Roles and ResponsibilitiesSuccess in this role will include influencing within your team and mentoring peers. The problems you will consider will be difficult to solve and often require a range of data science methodologies combined with subject matter expertise. You will need to be capable of gathering and using complex data set across domains. You will deliver artifacts on medium size projects, define the methodology, and own the analysis. Your findings will affect important business decisions. Solutions are testable and reproducible. You will create documents and share findings in line with scientific best practices for both technical and nontechnical audiences.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Data Scientist

US, WA, Seattle

The Global Advertising Partner Development (GAPD) Economics team is looking for a driven Data Scientist who will take an active role in developing high-impact economic and data science analytics.The GAPD team helps suppliers, agencies, marketers, authors, content creators, designers, non-endemic advertisers and developers to scale their use of Amazon Advertising and grow their business by surfacing a diverse selection of products to millions of worldwide Amazon customers. We do this via software tools and marketing/engagement programs that enable developers and partners to better serve advertiser needs.Our team of scientists works closely with business stakeholders and uses econometrics, data science, and machine learning to uncover hidden opportunities for Marketing and Product Development. We are seeking a data scientist that quickly can approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities and insights that drive larger initiatives.As a Data Scientist, you will play an instrumental role in developing a new analytical agenda. Key responsibilities include:· Partnering with economists and senior team members to drive science and implement technical solutions using machine learning and econometrics· Collaborate with Data Engineers to help build data systems and metrics that continually improve data quality· Develop science-driven algorithms that yield robust recommendations along an advertiser’s lifecycle· Contribute to building a scalable experimental framework that help stakeholders make data-driven informed decisions· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations

Manager, Data Science

IE, Ireland

At Amazon we strive to be earth’s most customer centric company and data is a foundational component to making this happen. Are you curious about new platforms and technologies and have a desire to deliver world-class customer service? Are you excited by the idea of owning a problem and innovating on behalf of customers? Can you deal with ambiguity and keep up with the pace of a company whose cycles are measured in weeks, not years?The Device, Digital & Alexa Support (D2AS) team works with some of the fastest growth areas in the company. Amazon introduced the first Kindle in 2007 - since then, we have expanded to become the best-selling e-reader family in the world. We have gone beyond Kindle with our powerhouse Fire tablets, built for work and play with our Fire operating system. For streaming media lovers, we have created Amazon Fire TV, Fire TV Stick, and Fire TV Edition with voice search. Fire TV devices come with access to 500,000 movies, TV shows, and tens of thousands of channels, and apps. In 2014, we introduced Amazon Echo and Alexa, the voice service that powers Echo and other devices so customers can play music, control their smart homes, and get information, news, weather, and more using just their voice. Alexa is now integrated with over 20,000 third party devices from 3,500 brands. Alexa has 50,000 skills and developers in 180 countries.The Device, Digital & Alexa Support (D2AS) – Tech team is looking for a Manager, Data Science. This position will lead innovative science solutions and products to increase Amazon’s ability to personalize Customer Service: from models to understand customer needs, optimization models to identify the best solution, and personalized recommender systems. You will identify specific and actionable opportunities to solve existing Customer problems and develop science based products.The ideal candidate will have outstanding communication skills, strong technical knowledge, proven ability to lead a team scientists, with an innate drive to deliver results. She/he will be comfortable with ambiguity and will enjoy working in a fast-paced environment.Responsibilities:· Lead a team across technical job families - scientists and engineers· Manage a science agenda that balances short term deliverables with measurable business impact with long term projects.· Develop a roadmap/products for ML model deployment· Provide technical and scientific guidance to team members· Hire and develop top talent· Collaborate with business and software teams both within and outside of D2AS

Sr. Research Scientist

US, WA, Seattle

Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.The Role:We are a team of doers working passionately to apply cutting-edge advances in technology to solve real-world problems. As a Lead Scientist, you will work with a unique and gifted team developing exciting products in the Molecular Biology field for consumers and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers.

Applied Scientist - Consumer Cloud Security

RO, Bucharest

The Consumer Cloud Security (C2S) group is responsible for the protection of customer and corporate data. We are connected to all parts of Amazon's business and it’s massive, worldwide service-oriented architecture. We are starting the work on a new mission critical system that will preserve and improve the trusted experience that Amazon provides to its customers. This is a greenfield initiative with plenty of opportunity for innovation in the security space through new machine learning techniques.We are seeking a talented, self-directed Applied Scientist to work on the cutting edge security technologies. You'll design and run experiments, research new algorithms, and find new ways of protecting Amazon's customer trust. Besides theoretical analysis and innovation, you will work closely with talented engineers to put your algorithms and models into practice. You should thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You enjoy and succeed in fast paced environments where learning new concepts quickly is a must. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience in building large-scale distributed systems. Your strong communication skills enable you to work effectively with both business and technical partners.Key responsibilities:· Process and analyze large data sets using as many techniques as necessary· Deliver scalable models that can analyze large data sets efficiently· Build mathematical models to detect and classify specific data elements with high accuracy· Prototype these models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.· Create, enhance, and maintain technical documentation, and present to other scientists and business leaders.

Applied Scientist

IL, Tel Aviv

Join us in a historic endeavour to make Computer Vision accessible to the world with breakthrough research!The AWS Computer Vision science team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists have developed the algorithms and models that power AWS computer vision services such as Amazon Rekognition and Amazon Textract. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world.Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, large scale image and video detection and recognition, face detection and recognition, OCR and scene text recognition, document understanding, and 3D scene and layout understanding.Location: Haifa and Tel aviv

Associate Research Scientist

US, WA, Seattle

Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.The Role:We are a team of doers working passionately to apply cutting-edge advances in technology to solve real-world problems. As an Associate Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers.

Manager, Applied Science

US, CA, Palo Alto

Amazon Search team is responsible for the worldwide customer facing search features on desktops, tablets, and mobile devices – everything from the moment a customer clicks into the search box to when they view search results.As an Applied Science manager, you will lead the science innovation in search autocomplete and spelling corrections. Autocomplete accounts for half of all Search traffic on Amazon; spelling correction touches all searches. We touch the lives of hundreds of millions of Amazon customers every day. You will work with scientists and engineers to identify opportunities, solve the problems using data-driven algorithms and bring the solutions to production. You will help customers to better formulate their search queries and explore Amazon catalog through Autocomplete suggestions and enable customers to focus on their shopping mission, instead of spellings, by correcting their misspellings. You will also collaborate with Product, Design and Business functionalities to improve the usability of our features for all customer segments. All your work has a direct and visible impact on shopping experiences of Amazon customers.Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), Earth's most customer-centric company.

Data Scientist

UK, London

THIS ROLE IS FOR A 12-MONTH FIXED-TERM CONTRACTAmazon is seeking an outstanding Data Scientist on a 12 month fixed term contract to uncover key insights on how customers engage with Prime Video. As consumers increasingly consume digital video, we need to make agile decisions based on what content appeals most to our customers.You will have the following responsibilities within the scope of our global Prime Video business:- Support the analytical needs of the content acquisition management (CAM) team inclusive of statistical inferences, demand modelling, feature engineering and the bespoke evaluation of content licensing deals- Develop, maintain and improve on our predictive models for gauging global video content demand- Create new metrics and KPIs that effectively guide the business and deploy effective dashboards to surface them to senior leadership- Ensure that the quality and timeliness of analytic deliverables meet CAM expectations

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