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US, WA, Seattle
Not many teams aspire to zero. Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com.WW R&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - returns, recommerce, and rentals.Amazon WW R&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop innovative product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.In this role, you would- Use machine learning and analytical techniques to create scalable solutions for business problems.- Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes.- Design, development and evaluation of highly innovative models for predictive learning.- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Research and implement novel machine learning and statistical approaches.- Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.- Technically lead and mentor other scientists in team.We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.Amazon is earth’s most customer-centric company and through WW R&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
LU, Luxembourg
Are you a talented and inventive scientist with strong passion about Artificial Intelligence and Predictive Modeling? Would you like to develop Machine-Learning models by playing a key role within EU RME Predictive Analytics team? Our mission is to drive the Predictive Maintenance (PdM) and Spare Parts (SP) programs for Amazon EU Operations that consists of complex automation, sortation, robotic and materials handling systems.As Machine Learning Scientist you will be working with large distributed systems of data and providing predictive maintenance expertise for over 2000 maintenance engineers, managers and administrators by supporting the entire network managed by EU RME, which may include non-EU locations (such as Singapore, Australia and Japan). You will connect with world leaders in your field and you will be tackling ML challenges by carrying out a systematic literature review of Machine Learning methods applied to PdM. The appropriate choice of the ML methods and their implementation will be the key for the success of the PdM and Spare Parts programs.This role requires an individual with strong skills in the area of data science, Machine Learning and statistics. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and outstanding ability in balancing technical leadership with strong business judgment to make the right decisions about model and method choices.Key Areas of Responsibilities:· Provide technical expertise to support team strategies that will take EU RME towards World Class predictive maintenance practices and processes, driving better equipment up-time and lower repair costs with optimized spare parts inventory and placement· Implement an advanced maintenance framework utilizing Machine Learning technologies to drive equipment performance leading to reduced unplanned downtime· Provide technical expertise to support the development of long-term spares management strategies that will ensure spares availability at an optimal level for local sites and reduce the cost of spares· Facilitate the access to data and tools for the larger Reliability Engineering team to drive reliability insights
CA, ON
The Economic Technology team (ET) is looking for a Data Scientist to join our team in building Reinforcement Learning solutions at scale. The ET applies Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists, economists, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights.This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As a Data Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.
US, CA, Palo Alto
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers.We are seeking an Applied Science Manager who has a solid background in applied Machine Learning and AI, deep passion for building data-driven products; ability to communicate data insights and scientific vision, and has a proven track record of leading both applied scientists and software engineers to execute complex projects and deliver business impacts.In this role, you will:· Lead a group of both applied scientists and software engineers to deliver machine-learning and AI solutions to production.· Advance team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.· Develop science and engineering roadmap, run Sprint/quarter and annual planning, and foster cross-team collaboration to execute complex projects.· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.· Hire and develop top talents, provide technical and career development guidance to both scientists and engineers in the organization.
US, WA, Seattle
Do you want to join Alexa AI -- 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 us at the Alexa Artificial Intelligence team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.With the Alexa Artificial Intelligence team, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..You will be expected to:· Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT).· Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints· Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios;· Perform model/data analysis and monitor user-experienced based metrics through online A/B testing;· Research and implement novel machine learning and deep learning algorithms and models.
US, WA, Seattle
Are you passionate about the use of Machine Learning to improve the experience for Alexa and Smart Home customers? We have a team that is making revolutionary leaps forward in this space and are in need of a Machine Learning Scientist. You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a new machine-learning driven product that will impact the lives of people you know every day.Great candidates for this position will have a passion for machine learning and signal processing and will have hands-on experience with product development. You will have the deep expertise to drive the ML vision for our products and technical breadth to make the right decisions about technology, models and methodology choices.As a Machine Learning Scientist at Amazon, you will connect with world leaders in your field working on similar problems. On this team you will analyze and model sensor data, smart home signals, and contextual data to create new experiences for customers. Meeting business requirements will involve combining several different machine learning algorithms with domain knowledge into sophisticated ML workflows. You will work with large distributed systems of data and will tackle Machine Learning challenges in Supervised, Unsupervised, and One-shot Learning, utilizing modern methods such as Deep Neural Networks and others. MLS’s have contributed to and are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing the state-of-the-art for improving Amazon’s products and services.KEY RESPONSIBILITIES· Analyze and extract relevant information from large amounts of data to support new experiences for customers· Create novel ML approaches and apply them to achieve project goals· Build ML software and algorithms that cost-effectively scale to millions of customers· Work closely with other teams across Amazon to deliver platform features that require cross-team leadership· Ensure that the quality and timeliness of ML deliverables
IN, KA, Bangalore
What would you do if you had access to the world’s largest product catalog with billions of products, offers, images, reviews, searches, and much more? Amazon Selection and Catalog Systems is looking for an innovative and customer-focused applied scientist to improve the data quality of the world’s biggest product catalog, utilizing state-of-the-art machine learning techniques.An information-rich and accurate product catalog is a critical strategic asset for Amazon. It powers unrivaled product discovery, informs customers’ buying decisions, offers a large selection and positions Amazon as the first stop for our customers. Maintaining and improving the accuracy of product catalog is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages) and multitude of input sources (millions of sellers contributing product data with different quality).You will conceive innovative solutions to measure and improve the quality of various aspects of our product catalog and influence the way millions of our customers discover and buy our products worldwide. The opportunity (puzzle to solve) is that there is no single solution as the problem scope is varied and diverse. The solutions you build will vary from simple rule based systems to machine learning, semantic analysis and text processing. You will have the opportunity to design new data analytical workflows at a scale rarely available elsewhere, utilizing state-of-the-art data science and machine learning tools such as Spark, Python, and Theano and Amazon’s cloud computing technologies such as Elastic Map Reduce (EMR), Kinesis, and Redshift. You will apply your knowledge in data science by creating algorithmic solutions that combine techniques such as clustering, pattern mining, predictive modeling, deep learning, statistical testing, information retrieval, and natural language processing and apply them to the voluminous data describing the products in the catalog and the customer interactions. You will evaluate with scientific rigor and provide inputs to business strategy and technical direction. You will collaborate with software engineering teams to integrate your algorithmic solutions into large-scale highly complex Amazon production systems.Responsibilities include:· Map business requirements and customer needs to a scientific problem.· Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.· Research, design, implement and deploy scalable machine learned models, including the application of state-of-art deep learning, to solve problems that matter to our customers in an iterative fashion.· Mentor and develop junior applied scientists and developers who work on data science problems in the same organization.· Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.
IN, KA, Bangalore
What would you do if you had access to the world’s largest product catalog with billions of products, offers, images, reviews, searches, and much more? Amazon Selection and Catalog Systems is looking for an innovative and customer-focused applied scientist to improve the data quality of the world’s biggest product catalog, utilizing state-of-the-art machine learning techniques.An information-rich and accurate product catalog is a critical strategic asset for Amazon. It powers unrivaled product discovery, informs customers’ buying decisions, offers a large selection and positions Amazon as the first stop for our customers. Maintaining and improving the accuracy of product catalog is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages) and multitude of input sources (millions of sellers contributing product data with different quality).You will conceive innovative solutions to measure and improve the quality of various aspects of our product catalog and influence the way millions of our customers discover and buy our products worldwide. The opportunity (puzzle to solve) is that there is no single solution as the problem scope is varied and diverse. The solutions you build will vary from simple rule based systems to machine learning, semantic analysis and text processing. You will have the opportunity to design new data analytical workflows at a scale rarely available elsewhere, utilizing state-of-the-art data science and machine learning tools such as Spark, Python, and Theano and Amazon’s cloud computing technologies such as Elastic Map Reduce (EMR), Kinesis, and Redshift. You will apply your knowledge in data science by creating algorithmic solutions that combine techniques such as clustering, pattern mining, predictive modeling, deep learning, statistical testing, information retrieval, and natural language processing and apply them to the voluminous data describing the products in the catalog and the customer interactions. You will evaluate with scientific rigor and provide inputs to business strategy and technical direction. You will collaborate with software engineering teams to integrate your algorithmic solutions into large-scale highly complex Amazon production systems.Responsibilities include:· Map business requirements and customer needs to a scientific problem.· Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.· Research, design, implement and deploy scalable machine learned models, including the application of state-of-art deep learning, to solve problems that matter to our customers in an iterative fashion.· Mentor and develop junior applied scientists and developers who work on data science problems in the same organization.· Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.
US, CA, Cupertino
Are you a biochemistry research scientist? At Amazon, we are constantly inventing and re-inventing to be the most customer-centric company in the world. To get there, we need exceptionally talented, bright, and driven people. We are a smart team of doers that work passionately to apply cutting-edge advances in technology and to solve real-world problems that will transform our customers’ experiences in ways we can’t even imagine yet.As a Research Scientist, you will be working with a unique and gifted team that is developing exciting products and collaborating with cross-functional teams.Responsibilities:· Collaborate to define product specifications and protocols· Iterate through experimentation to identify optimal product parameters· Identify and qualify new materials· Ensure manufacturability across the design process· Contribute to design control and regulated protocols· Collaborate with engineering teams to design, implement, and harmonize solutions
US, WA, Seattle
** LOCATION CAN BE EITHER TEMPE, SEATTLE OR NASHVILLE**Amazon Transportation Services (ATS) Line Haul is looking for a talented Data Scientist who will own analytics and develop solutions to drive insights and optimization for Network Planning and Forecasting. As a member of this team, you will have an opportunity to be an innovator in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business stakeholders to design the Amazon network of the future.This position requires innovative thinking, ability to quickly approach large ambiguous problems, technical and engineering expertise to rapidly research, validate, visualize, prototype and deliver solutions. This position also requires significant cross functional work and integration with transportation, tech, operations and finance. Successful candidates will thrive in a fast-paced environment.As you further your career as a Data Scientist at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will examine performance data, discover and solve real world problems related to forecasting, and build critical metrics and business cases. We are focused on your success and want to build and support strong pioneers within Amazon Transportation Services. You can expect to leverage your problem solving skills and have full ownership of the projects you work on.Responsibilities:· Perform complex data research to identify opportunities to reduce fulfillment costs as well as improve efficiencies and customer experience· Design, develop and establish KPIs to provide strategic insights to drive growth and performance· Ability to perform/own reoccurring and ad-hoc business intelligence projects, including the development of advanced statistical models that improve the forecasting capabilities of the Amazon transportation network· Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting· Communicate complex insights to stakeholders, both verbally and in writing
US, NY, New York
Amazon Web Services is looking for world class scientists to join the research team within AWS Security Services. You would be entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Macie (https://aws.amazon.com/macie/). On this team, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Key Responsibilities:· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment· Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.· Report results in a scientifically rigorous way· Interact with security engineers and related domain experts to dive deep into the types of challenges that we need innovative solutions for
US, WA, Seattle
Amazon delights millions of customers around the world. Meet PI-Squared, the behind-the-scenes team, that enables our HR and Operations Leaders to make informed decisions and improve the overall experience of a million frontline employees and leaders throughout their journey at Amazon. Our diverse team of statisticians, machine learning experts, and social scientists strive to make Amazon HR the most scientific HR organization in the world. We form hypotheses about the best talent acquisition, talent retention, and talent development techniques, and then set out to prove or disprove them with experiments and careful data collection.The ambition of Amazon HR is to be the most scientific organization in the world. We bring data and machine learning into management science to deliver workforce, associate experience, and leadership insights so Amazon leaders can focus their efforts in ways that will engage, retain and grow their talents. You will have the opportunity to work with operation leaders across different business lines to gain deep insights into Amazons’ daily operation and directly impact productivity, quality, and safety of hundreds of thousands of employees’ everyday life.Roles and Responsibilities:(1) Undertake econometric / statistical analysis to measure impact of various initiatives in the HR space.(2) Design and measure experiments(3) Undertake qualitative analysis to augment the findings from quantitative studies(4) Build scalable analytic solutions using state of the art tools based on large datasetsThis role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods. Preference will be given to candidates with additional experience in qualitative analysis in a variety of settings such as focus groups, field studies, surveys, and observational studies.
US, WA, Seattle
Try Before You Buy (TBYB) team at Amazon Fashion is looking for an Applied Scientist to join us to build our next-generation personalized recommendation systems for Personal Shopper and Prime Wardrobe. In this role, you will be responsible for researching, developing, and deploying machine learning, computer vision, and NLP models to make customers' fashion shopping experience at Amazon engaging and joyful.The primary responsibilities of this role include:· · Build ETL pipelines to collect and process data· · Frame and transform ambiguous business challenges into science hypotheses. Design and implement offline and online experiments to evaluate them· · Develop prototypes to test new concepts/proposals for models and algorithms· · Design and build automated, scalable pipelines to train and deploy ML models
US, MA, Cambridge
Alexa is the groundbreaking voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our team's mission is the enable Alexa to understand sounds and vocalization beyond speech. As an Applied Scientist, you will work with talented peers to develop novel machine learning algorithms and modeling techniques to advance the state of the art in speech and audio processing. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. You will mentor junior scientists, create and drive new initiatives.
US, MA, Cambridge
The Amazon Speech team designs and develops the core speech recognition technology used by numerous Amazon products including Amazon Echo, Amazon’s mobile shopping app and various other products and services.You'll be joining a multi-disciplinary team of software engineers and research scientists, that develop and deploy machine learning models to millions of echo devices worldwide. These models are used to wake up echo devices and are critical to magical experience our customers have come to expect.We are looking for passionate, hard-working, and talented Applied Scientists who have experience building innovative, mission critical, high volume applications that customers love. As a Applied Scientist in our team, you will be responsible for data-driven improvements to our models. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.Responsibilities:· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.· · Clean, analyze and select data to achieve goals· · Build and release models that elevate the customer experience and track impact over time· · Collaborate with colleagues from science, engineering and business backgrounds.· · Present proposals and results in a clear manner backed by data and coupled with actionable conclusions· · Work with engineers to develop efficient data querying infrastructure for both offline and online use cases
US, WA, Seattle
Exciting opportunity to join the team that owns the science behind AWS HR products, programs, and metrics. We come up with innovative ways to use econometrics, ML, and economic theory to improve the experience of AWS employee and to help HR/recruiters put the right people in the right place at the right time to staff all of AWS.Responsibilities include:· Develop causal inference models to assess all decisions surrounding talent: drivers of promotion, attrition, transfers, and hires· Identify and work with external and internal talent data-sets and develop ways to combine the two to answer important talent research questions· Work with other scientists, Data Engineers, and SDEs on the team to scale solutions that have a strong business impact· Suggest experiments and mechanisms to quantify the impact of policy changes on talent movement· Work with AWS HR scientists and leadership to develop research roadmap; identify and pitch new opportunities to leadership that are suggested by the data
US, CA, San Francisco
Can Alexa help anyone experience the music they enjoy? Even if they don't know what they'd like to listen to in this moment? Or, if they know they want “Happy rock from the 90s”, can she help them find it?Your machine learning skills can help make that a reality on the Amazon Music team. We are seeking an Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval.You'll work in a collaborative environment where you can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.The successful candidate will have a PhD in Computer Science with a strong focus on machine learning, or a related field, and 2+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems. Great if you have a passion for music, but this is not a requirement.Responsibilities:- Advance long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences;- Analyze large amounts of Amazon’s customer data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;- Validate new or improved models via statistically relevant experiments across millions of customers;- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale.Amazon MusicImagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.Come innovate with the Amazon Music team!
US, WA, Seattle
The Amazon Air Science and Technology team is seeking a Senior Applied Scientist to be part of a team solving complex aviation operations problems to reduce cost and improve performance. This is a blue-sky role that gives you a chance to bring optimization modeling, statistical modeling, machine learning advancements to data analytics for customer-facing solutions in complex industrial settings.You will work closely with product, research science and technical leaders throughout Amazon Air, Amazon Delivery Technology and Supply Chain Optimization and will be responsible for influencing funding decisions in areas of investment that you identify as critical future product offerings. You will partner with software developers and data scientists to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, build the machine learning or optimization models that will enable us to continually delight our customers worldwide.The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities. Excellent business and communication skills are a must to develop and define key business questions and build models that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.Tasks/ Responsibilities:· Partnership with the engineering and operations to drive modeling and design for complex business problems.· Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space.· Contribute to the mid- and long-term strategic planning studies and analysis.· Lead complex transportation modeling analyses to aid management in making key business decisions and set new policies.
LU, Luxembourg
About us:Amazon is a company of builders. A philosophy of ownership carries through everything we do — from the proprietary technologies we create to the new businesses we launch and grow. You’ll find it in every team across our company; from providing Earth’s biggest selection of products to developing ground-breaking software and devices that change entire industries, Amazon embraces invention and progressive thinking. Amazon is continually evolving; it’s a place where motivated employees thrive, and ownership and accountability lead to meaningful results. It’s as simple as this: we pioneer.With every order made and parcel delivered, customer demand at Amazon is growing. And to meet this demand, and keep our world-class service running smoothly, we're growing our teams across Europe. Delivering hundreds of thousands of products to hundreds of countries worldwide, our Operations teams possess a wide range of skills and experience and this include software developers, data engineers, operations research scientists, and more.About these internships:Whatever your background, if you are excited about modeling huge amounts of data and creating state of the art algorithms to solve real world problems, if you have a passion for using machine learning/mathematical optimization to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software, if you enjoy solving operational challenges by using computer simulations, and if you’re motivated by results and driven enough to achieve them, Amazon is a great place to be. Because it’s only by coming up with new ideas and challenging the status quo that we can continue to be the most customer-centric company on Earth, we’re all about flexibility: we expect you to adapt to changes quickly and we encourage you to try new things.Amazon is looking for ambitious and enthusiastic students to join our unique world as interns. An Amazon EU internship will provide you with an unforgettable experience in a fast-paced, dynamic and international environment; it will boost your resume and will provide a superb introduction to our activities.As an intern in Ops Research and modelling, you could join one of the following teams: Supply Chain, Transportation, HR, Employee Relations and more.You will put your analytical and technical skills to the test and roll up your sleeves to complete a project that will contribute to improve the functionality and level of service that teams provides to our customers. This could include:· Analyze and solve business problems at their root, stepping back to understand the broader context· Apply advanced statistics /data mining/ operations research techniques to analyze and make insights from big data (data sets could include: historical production data, volumes, transportation and logistics metrics, simulation/experiment results etc.) across multiple geographies.· Closely collaborate with operations research scientists, data scientists, business analysts, BI teams, developers, economists and more on various models’ (including predictive/prescriptive models) development.· Perform quantitative, economic, and/or numerical analysis of the performance of supply chain systems under uncertainty using statistical and optimization tools to find both exact and heuristic solution strategies for optimization problems.· Create computer simulations to support operational decision-making. Identify areas with potential for improvement and work with internal teams to generate requirements that can realize these improvements.· Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.· Convert statistical output into detailed documents which influence business actions
UK, London
About us:Amazon is a company of builders. A philosophy of ownership carries through everything we do — from the proprietary technologies we create to the new businesses we launch and grow. You’ll find it in every team across our company; from providing Earth’s biggest selection of products to developing ground-breaking software and devices that change entire industries, Amazon embraces invention and progressive thinking. Amazon is continually evolving; it’s a place where motivated employees thrive, and ownership and accountability lead to meaningful results. It’s as simple as this: we pioneer.With every order made and parcel delivered, customer demand at Amazon is growing. And to meet this demand, and keep our world-class service running smoothly, we're growing our teams across Europe. Delivering hundreds of thousands of products to hundreds of countries worldwide, our Operations teams possess a wide range of skills and experience and this include software developers, data engineers, operations research scientists, and more.About these internships:Whatever your background, if you are excited about modeling huge amounts of data and creating state of the art algorithms to solve real world problems, if you have a passion for using machine learning/mathematical optimization to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software, if you enjoy solving operational challenges by using computer simulations, and if you’re motivated by results and driven enough to achieve them, Amazon is a great place to be. Because it’s only by coming up with new ideas and challenging the status quo that we can continue to be the most customer-centric company on Earth, we’re all about flexibility: we expect you to adapt to changes quickly and we encourage you to try new things.Amazon is looking for ambitious and enthusiastic students to join our unique world as interns. An Amazon EU internship will provide you with an unforgettable experience in a fast-paced, dynamic and international environment; it will boost your resume and will provide a superb introduction to our activities.As an intern in Ops Research and modelling, you could join one of the following teams: Supply Chain, Transportation, HR, Employee Relations and more.You will put your analytical and technical skills to the test and roll up your sleeves to complete a project that will contribute to improve the functionality and level of service that teams provides to our customers. This could include:· Analyze and solve business problems at their root, stepping back to understand the broader context· Apply advanced statistics /data mining/ operations research techniques to analyze and make insights from big data (data sets could include: historical production data, volumes, transportation and logistics metrics, simulation/experiment results etc.) across multiple geographies.· Closely collaborate with operations research scientists, data scientists, business analysts, BI teams, developers, economists and more on various models’ (including predictive/prescriptive models) development.· Perform quantitative, economic, and/or numerical analysis of the performance of supply chain systems under uncertainty using statistical and optimization tools to find both exact and heuristic solution strategies for optimization problems.· Create computer simulations to support operational decision-making. Identify areas with potential for improvement and work with internal teams to generate requirements that can realize these improvements.· Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.· Convert statistical output into detailed documents which influence business actions