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IN, TS, Hyderabad
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? 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 software development managers, 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.We are looking for experienced hands-on Manager of Data Science to join us and lead science programs and developments for Amazon global.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 analytics tech services and applications 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.Major responsibilities of the team include:· Translating business questions and concerns into specific analytical questions that can be answered with available data using statistical methods.· Apply Statistical and Machine Learning methods to specific business problems and data.· 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.· 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.· Work with engineers to develop efficient data querying and modeling infrastructure.· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.· Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models.
US, WA, Seattle
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As a Senior Applied Scientist on this team, you will:Be a technical leader in Machine Learning and drive full life-cycle Machine Learning projects.Lead technical efforts within this team and across other teams.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.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 to assist in productionizing your ML models.Research new and innovative machine learning approaches.Recruit Applied Scientists to the team and mentor scientists on the team.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
US, WA, Seattle
The GSF (Global Specialty Fulfillment) organization leads the innovation of Amazon’s ultra-fast fulfillment initiatives. We are an Operations org that hires and manages associates for ultra-fast businesses such as online grocery delivery, sub-same day delivery etc. GSFTech sits within GSF with the mission to build world-class automated Science-Tech products that enable ultra-fast delivery speeds for Amazon customers and job market opportunities for Amazon associates. Our key vision is to transform the online experience. We’re growing in scale and volume, by orders of magnitude. We are a team of passionate tech builders who work endlessly to make life better for our associates through amazing, thoughtful, and creative new scheduling experiences. To succeed, we need senior technical leaders to forge a path into the future by building innovative, maintainable, and scalable systems.At Amazon, we are constantly inventing and re-inventing to be the most associate-centric company in the world. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.We are looking for an Operational Research Scientist who will be driving optimization initiatives, responsible for building models and prototypes for labor planning systems, and will require close collaboration with other scientists on the team that are developing state-of-the-art ML and forecasting algorithms to scale. Common questions include: when to post shifts given changing demand and associate acceptance? How to optimally assign shifts to associates? This team plays a significant role in various stages of the innovation pipeline from identifying business needs, developing new algorithms, prototyping/simulation, to implementation by working closely with colleagues in engineering, product management, operations, retail and finance.As a Senior member of the scientist team, you will play an integral part on our Operations org with the following technical and leadership responsibilities:· Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements· Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization· Develop scalable models to derive optimal or near-optimal solutions to existing and new scheduling challenges· Create prototypes and simulations to test devised solutions· Advocate technical solutions to business stakeholders, engineering teams, as well as executive-level decision makers· Work closely with engineers to integrate prototypes into production system· Create policy evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features· Mentor and supervise the work of junior scientists on the team for technical development and their career development and growth· Present business cases and document models, analyses, and their results in order to influence important decisions
US, WA, Seattle
The GSF (Global Specialty Fulfillment) organization leads the innovation of Amazon’s ultra-fast fulfillment initiatives. We are an Operations org that hires and manages associates for ultra-fast businesses such as online grocery delivery, sub-same day delivery etc. GSFTech sits within GSF with the mission to build world-class automated Science-Tech products that enable ultra-fast delivery speeds for Amazon customers and job market opportunities for Amazon associates. Our key vision is to transform the online experience. We’re growing in scale and volume, by orders of magnitude. We are a team of passionate tech builders who work endlessly to make life better for our associates through amazing, thoughtful, and creative new scheduling experiences. To succeed, we need senior technical leaders to forge a path into the future by building innovative, maintainable, and scalable systems.At Amazon, we are constantly inventing and re-inventing to be the most associate-centric company in the world. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.We are looking for a Senior Applied Scientist who will be the science lead for all key ML and forecasting initiatives, responsible for building models and prototypes for labor planning systems, and will require close collaboration with other scientists on the team that are developing state-of-the-art optimization algorithms to scale. This team plays a significant role in various stages of the innovation pipeline from identifying business needs, developing new algorithms, prototyping/simulation, to implementation by working closely with colleagues in engineering, product management, operations, retail and finance.As a Senior member of the scientist team, you will play an integral part on our Operations org with the following technical and leadership responsibilities:· Help the team define the forward looking Science roadmap and vision by helping to identify, disambiguate and seek out new opportunities· Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements· Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization· Develop scalable models to derive optimal or near-optimal solutions to existing and new scheduling challenges· Create prototypes and simulations to test devised solutions· Advocate technical solutions to business stakeholders, engineering teams, as well as executive-level decision makers· Work closely with engineers to integrate prototypes into production system· Create policy evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features· Mentor and supervise the work of junior scientists on the team for technical development and their career development and growth· Present business cases and document models, analyses, and their results in order to influence important decisions
CA, ON, Toronto
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers.As an Applied Scientist for the Sponsored Products Detail Page Allocation and Pricing team, you develop systems which make the final decision on which ads to show, where to place them on the page and how many ads to place. This also includes selection of various themes that would appear in detail pages. This is a challenging technical and business problem, which requires us to balance the interests of advertisers, shoppers, and Amazon. You'll develop a data-driven product strategy to define the right quantitative measures of shopper impact, using this to evaluate decisions and opportunities. You'll balance a portfolio of pragmatic and long-term investments to drive long term growth of the ads and retail businesses. You'll develop real-time algorithms to allocate billions of ads per day in advertising auctions.As an Applied Scientist on this team you will:Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.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 to assist in productionizing your ML models.Research new machine learning approaches.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
US, WA, Seattle
Job summaryDo you want to join the Alexa Artificial Intelligence (AI) team - the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?If your answers to these questions are “yes”, then come join the Alexa AI team, which is in charge of improving Alexa user satisfaction through continuous closed-loop self-learning. The team owns the modules that reduce user perceived defects through automatic defect detection and label generation.Key job responsibilitiesYou will be expected to:· Analyze, understand, and model dialogue context based on large scale speech and dialogue data;· Create and innovate deep learning and/or NLP based algorithms for improving accuracy of Alexa's speech recognition and natural language understanding through contextual modeling;· Perform model/data analysis and monitor user-experienced based metrics through online A/B testing;· Research and implement novel deep learning and NLP algorithms and models.A day in the life· Work collaboratively with scientists and developers to design and implement automated, scalable NLP/ML/IR models for accessing and presenting information· Drive scalable solutions from the business, to prototyping, production testing and through engineering directly to production· Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide junior members to achieve their career growth potential.About the teamThe Alexa AI team is in charge of improving Alexa user satisfaction through continuous closed-loop self-learning. The team owns the modules that reduce user perceived defects through automatic defect detection and label generation.You will be working alongside a team of experienced deep learning and NLP scientists and engineers to create deep neural network based contextual dialogue modeling on tasks such as speech translation, natural language understanding, etc.
GB, London
Job summaryCome build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.As part of the Prime Video Automated Excellence organization, the Automated Reasoning team applies deep and cutting-edge automated reasoning techniques to detect defects automatically in Prime Video’s core systems and device-level code. The tools we build are mission-critical to the software development and release cycle of many Prime Video engineering organizations, and will represent a huge step forward in the sophistication of our approach to automated software quality. Your work on this team will help us address a new dimension of scale our business faces as we deliver our applications on an ever-expanding set of client devices.Key job responsibilitiesYou will have the opportunity to apply your deep knowledge of automated reasoning techniques, such as static analysis, formal verification, symbolic execution, etc., to concrete problems our product and engineering teams face on a daily basis. You will collaborate with team members to design and deliver enterprise-scale systems that will be used by both internal and external customers. You will have the opportunity to analyse and verify code to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept. You will help set and continuously evolve a culture of innovation and curiosity that helps us find and solve our customers’ biggest problems.About the teamTo help a growing organization quickly deliver more features to Prime Video customers, Prime Video’s Automated Excellence organization is innovating on behalf of our global software development team consisting of thousands of engineers. We build services and utilities that make developer’s lives easier and more productive, and that help them deliver at higher levels of quality.
US, CA, Sunnyvale
Job summaryThe Amazon Alexa app is a companion to Alexa devices for setup, remote control, and enhanced features. The Alexa app understands a customer’s habits, preferences and delivers a personalized experience to help them manage their day by providing relevant information as customers want it. We believe voice is the most natural user interface for interacting with technology across many domains; we are inventing the future. As voice-enabled technology becomes increasingly advanced, consumers are demanding more from what their voice products can do. We’re looking for Scientists who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history.As an Senior Data Scientist, you will help build a production scaled personalized recommendation and lead the team to build Machine Learning (ML) and Deep Learning (DL) models to help derive business value and new insights through the adoption of Artificial Intelligence (AI).Key job responsibilitiesThe successful candidate will be responsible for distilling user data insights for ML science applications and influence business decision with data-driven approach to increase Alexa mobile engagement and growth. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.· Define the long-term development, science and business strategies for the team.· Expertise in the areas of data science, machine learning and statistics.· Translate business needs into advanced analytics and machine learning models and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence.· Work closely with the engineers to architect and develop the best technical design and approach.· Being able to dive a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.· Analyze, extract, normalize, and label relevant data.· Work with Engineers to help our customers operationalize models after they are built.A day in the life· Design and review mobile experiments for growth and engagement· Build statistical models and generate data insights to understand mobile growth and retention· Feature engineering to improve ML model performance.· Analyze, extract, normalize, and label relevant data.· Work with Engineers to deploy applications to production· Work with product manager to convert business problems to science problems and define the solutions.About the teamAlexa Mobile Intelligence team is motivated to make Alexa mobile app being the best intelligent assistant and providing personalized relevant features and content by understanding customers' habits, preferences, hence will reach high growth and retention for the app.
US, CA, San Diego
Job summaryAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Key job responsibilitiesAt Customer Trust and Partner Support, we work hard to build trust with both Amazon Customers and Selling Partners. The role offers a unique opportunity to work in a fast growing business at an intersection between Customers and Selling Partners. You will work on a central economist team focused on building scalable analytical solutions for shaping the strategies of the business.We are looking for a seasoned Economist who has a deep and broad analytic background, and is passionate about helping business to make data- and science-based decisions to make a real difference. Experience in applied analytics is essential, and you should be familiar with modern tools for data science and business analysis. We seek creative thinkers and practical doers who can think big and who can also roll up sleeves and execute on these big ideas.A day in the lifeAs a senior economist on the team, you will partner with our business and engineering partners to deliver innovative modeling solutions to help Selling partners and Brands to thrive on Amazon and to ensure a smooth and trustworthy experience for our Customers. This is an opportunity for a high-energy individual to bring economics and Machine Learning techniques into real world applications, to build scalable solutions to systematically deliver impacts to millions of Customers and Selling Partners, and to communicate insights to business and leadership.About the teamAt Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.
US, CA, Long Beach
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.This role will work in Global Shipping, Our vision is to become the carrier of choice for all of our Selling Partners cross-border shipping needs, offering complete set of end to end cross border solutions from key manufacturing hubs to footprint countries supporting business who use Amazon to grow their business globally.The Global Mile Business Development and strategy team are responsible for growing our global shipping product over the coming years. We have Sales and Marketing, analytical, strategy and forecasting functions and work with a large product and tech team, globally.As we expand, the need for robust demand forecasting to aid decision making on asset utilization especially where we know demand will be variable becomes vital. We are investing in enhanced data and improved modelling techniques, and are now in need of an experienced economist to lead and manage our forecasting and scenario planning function.
US, WA, Seattle
Job summaryThe Core AI team uses Machine Learning, Economics, Statistics to understand and design the complex economy of Amazon’s network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon.We are looking for an outstanding applied scientist who is able to provide structure around complex business problems, develop and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into products, policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong machine learning and big data toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.We are particularly interested in candidates with research background in computer vision, deep learning, edge compute, distributed compute, and big data technology. However, we want to talk with any experienced economist with an interest in working on an interest in working on innovative, strategic problems with significant business impact.
US, MA, North Reading
Job summaryAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.What you’ll do:We seek a talented an autonomous data scientist who possess a combination of analytical, problem solving, technical, and communication skills to optimize and solve performance problems across Amazon Robotics different solutions. The Data Scientist will be comfortable thinking out-of-the-box to deliver insights, recommendations, and predictive power to an audience of varying levels of technical sophistication. This person will work within a team setting among Business Intelligence and Data Engineers and will act as a mentor and technical expert within the team. A successful candidate will be a self-starter, comfortable with ambiguity, and be able to create efficient & automated processes. They are capable of prioritizing multiple deliverables and effectively communicate progress and blockers.The Data Scientist will be comfortable leading statistical and ML projects from conception to production, including understanding business needs, transforming and exploring data, building and validating ML models, and deploying completed models on the AWS cloud. Finally, this person will be an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.Key job responsibilities• Make recommendations for new metrics, apply analytical techniques, and build ML models to improve insights and risk for support and hardware engineers.• Seize opportunities to uncover hidden drivers, impacts, and key influences of the AR system by applying optimization/statistical/machine learning methods to complex and ambiguous problems.• Lead technical aspects of experimental design in collaboration with AR partner teams and Operations.• Collaborate on Dashboard development with BIE team to promote or communicate new findings.• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes to understand business requirements and build analytical solutions to achieve key business goals.• Maintain an understanding of the latest trends in data science and machine learning.• Ability to document technical requirements, code comments, and compile white papers to relay technical methodology and key findings.
US, WA, Seattle
Are you looking to lead radical innovation in a multi-billion dollar global business, creating value for millions of customers? The fast-growing Latency team is reinventing the way Amazon measures and evaluates impact for over 2 Million Selling Partners. We are looking for an exceptional data scientist to be part of exciting initiatives on our technical product and program roadmap, helping Amazon act faster on one of the most critical parts of Selling Partners' experience.As a data scientist on the Selling Partner Latency team, you will get to take on the work to provide teams with recommendations based on millions of metric records available for Selling Partners and their use cases. In this role, you are empowered to think big, invent on behalf of our customers, make judgment calls, and find elegant solutions to our hard problems. Our team is inventing new and exciting technology, and you'll own a big part of this. You will work with a talented team of software developers and front-end engineers in an agile environment launching new features and functions while managing the existing services. You'll perform deep dives on the customer experience, define success criteria, and measuring the impact of your innovations.A successful candidate will have strong customer experience intuition, data science background combined with a solid understanding of statistics and web metrics. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or multiple priorities. Maturity, high judgment, negotiation skills, ability to influence, and leadership are essential to success in this role.Position Responsibilities:· Build statistical models and develop recommendations for data structures· Drive collaborative research and creative problem solving across engineering teams· Analyze complex datasets to drive insight· Propose and validate hypotheses to deliver and direct product roadmaps· Work with engineers to deliver latency model predictions
US, WA, Seattle
Job summaryAre you passionate about building systems that process massive amounts of data? Are you excited by analyzing complex heterogeneous datasets that can have a big impact on machine learning design and the customer experience? Do you enjoy working with a huge diversity of engineers, machine learning scientists, and user-experience designers? If so, you have found the right match!The vision for Amazon Fashion is to create services, processes, tools and platforms to support innovative and engaging fashion experiences. The Fashion Science team at Amazon aims to make Amazon the number one online shopping destination for Fashion. We are seeking a Data Science Manager who has a solid background in Data Analytics, Statistics and Machine Learning, a deep passion for building data-driven products and has of executing complex projects and deliver solutions that directly impact customers.Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique challenges in areas such as product recommendations, product discovery and data quality. The Fashion Science team builds large-scale machine learning systems to address these. We leverage the massive computing power of Amazon Web Services as well as big data technologies such as Spark and Hadoop to build data pipelines for hundreds of millions of products. Our data is used by numerous front-end teams to deliver amazing experiences to customers all around the world.Key job responsibilities· Lead complex data science projects that will have a big impact on machine-learning solutions for our customers· Collaborate with PMs and Applied Scientists on customer-facing experiences that will utilize this data to transform the apparel shopping experience for Amazon customers.· Perform hands-on data analysis, compare machine-learning models, run and interpret A/B tests, and communicate the impact to senior management.· Drive continued scientific innovation as a thought leader and practitioner.· Provide technical and career development guidance to both scientists and engineers in the organization.To know more about Amazon science, Please visit https://www.amazon.science
US, NY, New York
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. We optimize ad placements to match advertiser demand with publisher supply using a combination of machine learning, deep learning, and natural language processing (NLP), query reformulations, big data analytics, and low latency, high-volume systems. We are highly motivated, collaborative and fun-loving, with entrepreneurial drive and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Sponsored Sourcing Delivery team owns Ads Searching, Selection and Ads matching systems that involve efficient information retrieval (IR) Search algorithms, query reformulations, Natural language processing, deep-learning algorithms to enable a superior shopper experience and render highly relevant products for shopper’s mission. As Applied Science Manager responsible for Sponsored Sourcing Delivery team you will take ownership of the technical roadmap and delivery of real-time, scalable machine learning models influencing ad selection, relevance and ranking models. You will enable applied scientists to experiment and innovate quickly with a diverse set of models, features and techniques in a high-volume, low-latency environment. The Sponsored search solutions play a key role in the Amazon’s ad serving workflow (selection, ranking and auction) and operate under highly optimized settings viz. scanning billions of documents within milliseconds budget and ensuring high relevance. So the level of quality and reliability are critically important. You’ll raise the bar on software delivery, researching and innovating new matching algorithms and solution quality by investing in Sponsored Products Search features, key initiatives, and technical improvements to optimize for business impact and long-term sustainability.As a Applied Scientist on this team, you will:· Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.· 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 to assist in productionizing your ML models.· Research new and innovative machine learning approaches.· Recruit Applied Scientists to the team and mentor scientists on the team.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raEAbout the teamThe Sponsored Sourcing Delivery team helps deliver billions of ad impressions and millions daily clicks daily. Our core charter revolves around building state-of-art machine-learning (ML) and natural-language-processing (NLP) methodologies to improve the search indexing & ranking mechanisms, which will directly improve the advertiser and shopper experience. We’ve been one of the fastest growing teams in Amazon in terms of business impacts launched and momentum continues. We’re a talented team of scientists and engineers working on complex and ambiguous problems, and we have an engineering-driven culture that influences business outcomes.
IL, Tel Aviv
Job summaryAmazon 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, Amazon Echo and Halo.What will you help us create?Key job responsibilitiesYou will be part of a world-class Computer Vision team tasked with solving huge business problems through innovative technology and focus on product industrialization.We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company.Major responsibilities:· Research, design, implement and evaluate novel computer vision algorithms· Work on large-scale datasets, focusing on creating scalable and accurate computer vision 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 software engineering teams to drive scalable, real-time implementations· Track general business activity and provide clear, compelling management reports on a regular basis
US, WA, Bellevue
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 Senior Applied 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 to publish in top conferences such as NIPS, ICML, ICLR, KDD etc. and do open source contribution.As a Senior Applied Scientist in the team, you’ll mentor and develop other scientitsts in the team, drive cross team collaborations with partner science teams in NLU, ASR and Conversational AI organizations. You’ll also help the team and the management define the roadmap for the the science team and the sister platform team. You’ll drive science best practices across multiple team and within the organization.(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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, CA, Cupertino
Amazon's Simple Storage Service (S3) offers industry-leading scalability, data availability, security, and performance. S3’s Automated Reasoning Group (S3-ARG) develops and applies automated reasoning techniques to deliver correct, secure, durable, and available distributed systems and storage services. S3 is complex: it consists of hundreds of micro-services each of which is a distributed system. With a very large number of servers and 10s of millions of requests per second, it is also highly concurrent. S3 has a sizable codebase, developed and maintained by a large team of engineers. Getting such a complex and fast-evolving system right requires developing cutting edge automated reasoning methods that are continuously integrated into the software development process. This is what our team does.We work on techniques ranging from deductive proofs to model checking, from static analysis to runtime verification of protocols. We work both at the design and the code level, and connecting the two is essential for us. We partner with development teams to make sure that our methods are deployed across S3 and that correctness is maintained as the software evolves. We have had significant success with adoption and we are key contributors to recent S3 launches such as strong consistency. We are developing innovative methods all the time. We publish our results at conferences and journals.We are a diverse team and are looking for teammates who are enthusiastic to work on these problems and further the state of the art with us. We are seeking candidates who are deep in one area of expertise but also broad enough to take on the most complex cloud computing challenges. If you are interested in exploring, please e-mail s3-arg-jobs@amazon.com.About UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
DE, BE, Berlin
Are you excited about building Robotics AI technology that works seamlessly with and around people? The Robotics AI team at Amazon is building high-performance, real-time robotic systems that can perceive, learn and act intelligently alongside humans, at Amazon scale.To this end, we are seeking an experienced Applied Science Manager who is interested in leading a team of Applied Scientist to bring Computer Vision innovations to Fulfillment Centers. We work on machine learning, planning, control, simulation and computer vision applied to robotics, particularly to manipulation and item understanding. We are expanding our Berlin team to meet the huge application demand in Amazon.Key responsibilities:· Lead a team of Computer Vision experts and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems.· 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.· Collaborate closely with stakeholders on developing systems from prototyping to production level.
US
The Amazon Devices Digital Privacy group is looking for data scientists to join us. As a data scientist in Devices you will apply state of the art data science to develop privacy-related insights into data, and raise the bar for respectful design. You will build prototypes and explore new solutions. You will lead high-impact privacy work that centers respect for customers and their data. You will be at the heart of a passionate community of privacy experts, and work with acclaimed engineers, passionate privacy advocates, and renowned scientists.You are someone who cares deeply about privacy and customer trust, with solid expertise in statistics and/or machine learning. You can work in a space where both problems and solutions are sometimes not well defined. You constantly push the boundaries of your own knowledge, and enjoy teaching others. You are pragmatic and focus your work based on the needs of the customer and the business.A day in the lifeYou work daily with product and tool teams to help them understand their privacy stance through principled measurement and data exploration. You're always on the look out for repeatable patterns where ML can be applied to scale privacy processes. You work with other data scientists to craft and document tools and best practices.About the hiring groupThe Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. We integrate privacy enhancing technologies, like end-to-end encryption. What will you help us create?Job responsibilities· Apply state of the art data science to develop privacy-related insights into data, such as re-identifiability, linkability, and more· Build data science prototypes to solve privacy-related problems· Collaborate with engineering teams to bring solutions to productionAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.