Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?The Role:“If you do not work on an important problem, it's unlikely you'll do important work.” – Richard HammingWe have important problems to solve. There are great, world-changing products that should exist, but do not, because the technology to enable them does not exist. Yet. That’s where you come in.We are a smart team of doers that work passionately to apply cutting-edge advances in and to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet.Key responsibilities will be to conduct research and development in algorithms and to collaborate with cross-functional engineering teams, including Amazon Robotics, to put the concepts you develop into production. You will determine where commercially available solution and academic research can be applied to solve Amazon business problems, as well as identify opportunities for innovation. You will use a large amount of data to train and test algorithms to bring them up to production level quality.If this describes you, come join our team at Lab126 in the heart of Silicon Valley. An Applied Scientist on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential. The role includes the following:· Research, design, implement and evaluate novel algorithms· Work on large-scale datasets, focusing on creating robust, scalable and accurate systems in versatile application fields· Collaborate closely with team members on developing systems from prototyping to production level· Collaborate with teams spread all over the world· Work closely with engineering teams to drive scalable, real-time implementations· Track general business activity and provide clear, compelling management reports on a regular basis
Passionate about helping customers simplify and accelerate their machine learning workloads on Sagemaker and AWS? Come join the Machine Learning Marketplace team and help us build the future of ML.You'll work alongside engineers and leaders in both AWS Marketplace and Sagemaker. You will have deep understanding and experience building Machine Learning models and how to apply them in practice. You will invent new ways for sellers to package IP and enable buyers with the right capabilities to evaluate, experiment, re-train and integrate machine learning into their systems.We are looking for highly motivated applied scientists and engineers interested to help us realize the vision of simple and effective ML.Responsibilities include:· Designing and implementing new features in Marketplace and SageMaker to enable IP packaging, training, evaluation.· Work with Fortune 500 companies to understand use cases and help build prototypes and proof-of-concepts.· Lead teams of engineers in building the latest ML features for marketplace· Evaluate existing capabilities and provide guidance for ML best practices and state-of-the-art.· Working closely with Product Managers to expand depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps· Providing technical and scientific guidance to your team members· Communicating effectively with senior management as well as with colleagues from science, engineering, and business backgrounds· Being a cultural leader that ensures teams are collecting, understanding, and using data to inform every decision that impacts our customersThe successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, a start-up mentality, excellent project management skills, and great communication skills.
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you.Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotThe Amazon SCOT organization is expanding our Direct Fulfillment (dropship) business and we are looking for a Data Scientist to join the team. Direct Fulfillment helps provide Amazon customers the broadest in-stock selection, at the quality and speed of delivery they have come to expect from Amazon at the best possible cost structure for Amazon. Direct Fulfillment allows Amazon to fulfill customer orders directly from our vendor’s warehouse and is one of the fastest growing supply channels at Amazon.The Data Scientist, in partnership with the Product Management, Operations, and Tech teams will lead efforts in three areas :1) Building models to forecast volume of shipments at vendors to allow better planning2) Identifying opportunities for shipping costs optimization which is one of the largest costs in the Direct Fulfillment business3) Creating models to identify most optimal fulfillment channel (whether Direct Fulfillment or Amazon Fulfillment) for a given selection.Core Responsibilities· Define and deliver on complex analytical deep dives to unlock insights that drive business growth.· Build models for forecasting volume, optimize shipping costs and channel selection· Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teamsThe ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Compliance Tech Team supports Amazon’s mission of offering the widest selection of products available, while protecting customers from recalled or unsafe products. We develop a suite of systems (manual, supervised, and fully automated) that enable product classification according to various taxonomies. These include systems that:(1) orchestrate and automate operational workflows,(2) perform data extraction from documents (such as technical specifications) and images (such as product labels) associated with the products, making use of the latest NLP advances,(3) perform standard symbol identification in documents and natural scenes,(4) make classification recommendations and surface potential risksIn building these systems we leverage a mix of in-house and public AWS technologies such as Lambda, Fargate, Step Functions, SageMaker, Textract, Comprehend, Translate, Rekognition and DeepLens.This is an exciting opportunity to gain valuable experience in regulatory compliance with a vibrant and fast-growing company!We are looking for Software Development Engineers / Applied Scientists with strong analytical and problem solving skills, who will participate in the full development cycle from design and implementation to documentation and maintenance. The successful candidate will have an entrepreneurial spirit and be passionate about developing reliable, efficient, and maintainable data analysis solutions that provide users with robust information solutions.Key Responsibilities:· Participate in the design, development, implementation, testing and documentation of large-scale distributed software applications, tools, systems and services;· Translate functional requirements into robust, scalable, supportable solutions that work well within the overall system architecture;· Participate in the full development cycle, end-to-end, from design, implementation, and testing to documentation, delivery and maintenance;· Produce comprehensive, usable software documentation;· Evaluate and make decisions around the use of new or existing software products and tools.
Amazon's Advertising is positioned to grow its share of the online advertising industry due to its unique combination of online retail behavior data, industry-leading cloud services, and a fast-moving startup culture. The targeting platform enables our ad systems to deliver the right ads to the right users. To accomplish this goal, we are applying the latest low latency, big data technologies and toolsets which allow us to understand our users interests and personalize their experiences.There's an almost overwhelming amount of data available, and we need to build the best models to predict which signals are likely to have an impact and which aren't. We're building tools and services to automate the generation, validation, and publishing of models that incorporate all available data to predict any measurable signal. You will be working in designing, building and finally shipping these products together with partners, product management, other engineers and data scientists.In this role you will:• Perform hands-on data analysis and modeling with very large data sets to develop insights into different aspects of our business (shopper experience, advertiser experience, marketplace dynamics)• Define and build tools and processes to monitor these metrics (weekly business reviews, dashboards, automated alarming)• Use data to identify opportunities to improve our systems.• Work with scientists and engineers to model complex interactions in our systems• Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences
As a senior economist on the Seller Development team, you will drive the overall success of a multi-billion dollar business by identifying growth opportunities for 3P sellers. The role will carry a multi-billion dollar charter and the right candidate will have high business judgement, work well with stakeholders and have a track record of working with very large data sets to identify headwinds and tailwinds to business growth. The right candidate will have a strong interest in working in a start-up like environment and be able to thrive in fast-pace, highly collaborative environments. The role will tap into a broad range of skills, including analytics, econometrics, data science and financial analysis.
Amazon’s global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for creating and evolving Amazon’s human capital and talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science products and services that facilitate Amazon’s growth and development of talent across all of our businesses and locations around the world.Our vision in GTM Science is to use machine learning and science to scalably solve organizational challenges focused on talent movement, talent differentiation, employee-role matching, promotion processes, organizational design and succession planning, diversity and inclusion, and new areas that address the evolving needs of our diverse employee base.We are looking for an experienced machine learning scientist to work on talent science products that draw from a range of fields such as supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning and others on rich and novel datasets. The role has high visibility to senior Amazon business leaders and involves working with other scientists, partnering with dev and product teams to integrate these models into production systems.As an applied scientist in GTM Science, you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the Human Resources space. You will help to solve high impact business problems in an unconventional domain, and encouraged to patent and publish your contributions. If this kind of work fascinates you, reach out to us to find out more!Key Responsibilities· Participate in scoping and planning of GTM’s science products· Design and execute science-based product ideas and features, project plans and communicate with stakeholders.· Develop predictive models to understand important business and people-centered outcomes· Productionize ML and science models at the scale of Amazon
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.
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of 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.We are looking for top Applied Scientists who have a deep passion for building machine-learning solutions, ability to communicate data insights and scientific vision, and execute strategic projects.As an Applied Scientist in Machine Learning, you will:· Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.· Run A/B experiments, gather data, and perform statistical analysis.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production· Research new machine learning approaches.
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.The SB Modeling team consists entrepreneurial machine learning scientists and engineers who are responsible for developing core machine learning models and model development pipelines. Through precise estimation of shoppers’ interaction with brand ads and their long-term value, we aim to drive optimal ads retrieval and ranking, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. All of these, powered by state-of-the-art machine learning models, take place in milliseconds.We are looking for an experienced Applied Scientist who is passionate for building machine learning solutions, and communicating science insights, and executing strategic projects. You will work with business partners to design, implement and launch machine learning solutions. You will innovate machine learning models and NLP techniques to connect shoppers with brand ads via shopper intent understanding as well as brand ads interpreting. This is a unique opportunity to stand at the intersection of e-commerce, advertising and state-of-the-art machine learning techniques.
Come join the Alexa team, building the speech and language solutions behind Amazon Echo and other Amazon products and services! You will help us invent the future.As a Data Scientist of the Alexa AI - Alexa Data Services Team, you will research and create models, improve models for natural language processing and speech recognition problems.You will gain hands-on experience with Amazon’s heterogeneous structured data sources; as well as large-scale computing resources to accelerate advances in training deep neural networks for natural language understanding and automatic speech recognition on thousands of hours of speech. You will be leading on solving highly visible and impactful business problems in areas of new product development, automation, self-service solution and quality improvement, to continue delight Alexa customers and help driving Amazon business performance.The ideal candidate is clearly passionate about delivering experiences that delight customers and creating solutions that are robust. Creating reliable, scalable and high performance products requires exceptional technical expertise, and a sound understanding of the fundamentals of Machine Learning.We value academic collaborations and encourage our scientists and engineers to publish in top conferences such as NIPS, ICML, ICLR, KDD etc. and do open source contribution.(S)He should thrive and have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes. (S)He will be expected to balance detailed execution with speed and possess solid collaborative skills. (S)He will be working in a fast-paced environment where every day brings new challenges and new opportunities. (S)He should have excellent business and communication skills and be able to work with business owners to develop and define solutions. This position involves regular communication with senior management on project status and risks. Cross-team coordination, project management, and executive presentation skills are essential.
Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading machine learning tools on AWS. As a scientist in the AWS-ML team, you'll partner with technology and business teams to build new services that surprise and delight our customers. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. As a senior applied scientist, you will have the chance to work with a large team of young scientists and engineers, as well as collaborate with principal scientists.Research science at Amazon is a fast growing activity. Besides theoretical analysis and innovation, our scientists also work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.We’re looking for top scientists capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Amazon Search is building the search engine used for product search on the Amazon shopping site, worldwide. The team in Japan is involved in a range of areas with impact on the search engine globally, including the heuristics and machine learning systems used to generate and rank search results, natural language processing for many languages, and UX features of the search frontend.We are looking for highly motivated applied scientists and engineers interested in delivering the next level of innovation to product search for Amazon. The position is based in the Amazon Japan Meguro (Tokyo) office.As an Applied Scientist for Search, you will lead the design, implementation and delivery of search features on Amazon worldwide, helping millions of customers every day to find quickly what they are looking for, and to discover products they didn't even know Amazon carried. Your improvements to the product search engine will include tailoring search for global marketplaces, using advanced techniques and tools to mine petabytes of data, and running experiments to detect important areas of improvement and measure success. You will be designing solutions, sometimes from the ground up, that scale to efficiently handle billions of queries and items each day. You will be working closely with international teams of bright and talented people all over the world, both in business and in technology. The models that you develop, supported by industrial scale development tools, integrates smoothly and efficiently into one of the largest code bases in the world and runs in data centers worldwide. By joining us, you will help to build up global development expertise in a team of engineers based in Tokyo working on solutions used locally, and worldwide.Besides possessing knowledge and problem solving expertise in applied science discipline, you must be an innovative thinker and a strong communicator. Working in this position will involve collaborating with English speaking engineers and scientists in the US, Europe, China, India and other places.Your areas of responsibility include:· Designing and implementing new production features and machine learned models, including the application of natural language processing, state-of-art deep learning to solve search matching and ranking problems, including spam filtering, new content indexing, and apply document understanding, and linguistic normalization.· Perform analysis of data and metrics relevant to the search content and experiences· Gathering search-technology related requirements from business owners, other tech teams, as well as by analyzing customer feedback· Engaging in tech knowledge transfer with other teams· Working with teams worldwide on global projectYour benefits:· The opportunity to work for a major online retailer· The opportunity to apply state-of-art techniques of applied science· An engaging work environment with excellent career opportunities· A competitive salary including stock units and other benefit
The New Programs Group within Amazon Fashion is looking for Senior Applied Scientist to help redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision, Image Recognition and Machine Learning. We’re looking for a thought leader to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will work with talented peers in a team that provides opportunities to innovate in a start-up mode, partner with business teams to deliver customer experiences that disrupt status quo.The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You do independent research and develop non-trivial Machine Learning solutions. You mentor and lead scientists and engineers, contribute to Amazon's Intellectual Property through patents and/or external publications.Position Responsibilities:· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) applications.· Develop and/or apply statistical modeling techniques (e.g. Convolutional 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 scientists.
Alexa.com is seeking a creative, entrepreneurial, and customer-obsessed Senior Applied Scientist who can apply cutting edge research and state-of-the-art machine learning and deep learning algorithms to the development of scalable AI marketing analytics solutions. The ideal candidate has a broad and deep background in machine learning and deep learning, is passionate about science, is highly driven to learn and deploy new technologies, thrives in a fast-paced environment that requires the development of solutions to ambiguous and challenging problems, and enjoys collaborating with both technical and nontechnical peers.At Alexa.com, we solve ML problems in natural language processing and understanding, search relevance and ranking, and digital behavior measurement and prediction. As part of our AI team, you will work as a hands-on practitioner and technical leader in multiple areas such as statistical modeling, NLP and NLU, dimensionality reduction, and deep learning. You will formulate and test hypotheses, evaluate and implement machine learning and deep learning techniques, and deliver new production services that will be used by millions of users worldwide.We have been gathering and analyzing data from online sources for more than 20 years, with terabytes of archived crawl data, a data-contributing panel of millions of users in countries around the world, and millions of unique website visitors each month. This position provides the qualified candidate with an opportunity to join our smart, motivated team and to directly impact our business.Alexa.com is a subsidiary of Amazon.com serving millions of users worldwide and building the next generation of marketing analytics services. Our mission is to be most invaluable and trusted source of ground-breaking insights into digital behavior that customers use to win their audience and accelerate growth. For more information, visit www.alexa.com.Core Responsibilities· Set the technical direction for scientific projects and mentor Applied Scientists· Contribute to strategic planning and project management for a variety of technical initiatives· Develop novel modeling techniques for machine learning, deep learning and natural language understanding· Write high quality code and contribute to the codebase of scientific applications· Develop prototypes and collaborate with stakeholders to assess the feasibility of selected approaches· Effectively communicate with customers, senior management, and colleagues with diverse roles and technical backgrounds· Document methodologies and increase institutional knowledge based on experimental results and operationalized solutions
Amazon is looking for motivated and innovative individuals with strong analytical skills and practical experience to join our Middle Mile Planning Research and Optimization Science (mmPROS) team. We are hiring specialists at all levels for our scientific team with expertise in transportation and systems engineering, network and combinatorial optimization, stochastic optimization, algorithm design, pricing and yield management, machine learning and demand forecasting.Middle Mile Air and Ground transportation represents one of the fastest growing logistics areas within Amazon. Amazon Fulfillment Services transports millions of packages via air and ground and continues to grow year over year. Our team (mmPROS) is charged with research and developing models, algorithms, data structures, and data representations for Amazon Delivery Technology (surface and air transportation) businesses globally. Develop optimization-based decision support for planning, routing, operations, pricing, topology, and resource planning.These tools rely heavily on mathematical optimization, stochastic simulation, meta-heuristic and machine learning techniques. In addition, Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.As a Research Scientist focusing on pricing, data science and stochastic optimization, you will play a key role in Amazon’s transportation and logistics strategic planning and operations. You will research, design and improve on the pricing models that will impact Amazon’s customer directly. You will be working in a highly collaborative environment partnering with various science, product management, engineering, operations, finance, business intelligence and analytics teams to develop pricing systems and other analytical tools. You will need to understand the business requirements and translate them into complex analytical outputs. You should be comfortable building prototypes, testing and improving them given the feedback from the real time data. You should be able to present your model and findings to a various range of stakeholders.
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCTitle: Applied ScientistLocation: Seattle, WAPosition 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 scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Do you want to join an innovative team of scientists and work on some of the most interesting problems in Machine Learning, Natural Language Processing and Conversational Agents to provide the best customer experience on the Earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it.We're looking for machine learning scientists to develop cutting edge machine learning and NLP solutions that help customer resolve their problems in the quickest and most convenient way.If you want to be part of a smart and passionate team of scientists and engineers, work on leveraging and advancing the state-of-the-art in ML, NLP and Conversational Agents, and own an end-to-end business problems to ensure that your solutions have a direct impact to business and effectively improve customer experience, if you love to innovate and to discover knowledge from big structured and unstructured (text and voice based) datasets, then we want you to be in our team.In this role you will:- Work in a team with other scientists and developers to design and implement automated, scalable NLP/ML models to develop innovative conversational interfaces that make it easier for customers to resolve their problems;- Drive scalable solutions from formalizing the business problem to algorithm design, prototyping, production testing all the way to delivering to production;- Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide interns and junior members to achieve their career growth potential.
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.
The goal of Amazon Business (AB) is to deliver a comprehensive procurement solution for businesses of all sizes. We combine the selection, convenience and value customers have come to know and love from Amazon, with new features and unique benefits tailored to businesses. Over the last four years Amazon Business has grown rapidly, attracting millions of business customers. These customers have different needs than the traditional Amazon customers, so we are reinventing how we add and display business selection, price products, and provide the right customer experience.The Amazon Business Science and Analytics team (ABSA) owns the science and analytics for key AB problems like pricing optimization and identifying priority asins. We are seeking to hire a talented Senior Data Scientist to join our team and help drive this important work. You will join us in working on causal, predictive, and Reinforcement Learning models. We work closely with AB engineering teams to put these models into production to drive millions of AB decisions. We also contribute to AB strategic direction by generating insights and recommendations for pricing and selection programs.The successful candidate will be highly skilled in quantitative methods, including classical statistics and machine learning approaches. You will be comfortable with highly ambiguous problems and thinking carefully and systematically about the needs of the business, our customers, and selling partners. You will insist on relentlessly high standards while inventing and simplifying to develop practical solutions to drive the business.