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Viktor Rozgic

Senior applied scientist
Alexa Speech group

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US, NH, Virtual Location - New Hampshi
The Amazon Device and Services Design Group (DDG) creates revolutionary products used by millions of customers around the world every day - including Echo, Fire TV, Alexa Communications, and more. Within DDG, the DDG Research team is one of the behind-the-scenes teams that enables Amazon’s Devices’ leaders to make informed decisions based on sound mixed-method research and analytics. We are seeking an exceptional Research Scientist to join our team to help us derive insights that serve our customers. If you are inquisitive, passionate about how research can improve decision making, enjoy weaving data into a telling story, and like your research to have real world impact, we want you on our team.As a successful Research Scientist, you:· Are enthusiastic about collaborating with a cross-functional team of UX designers, researchers (qualitative and quantitative), business partners, design technologists, and developers to provide actionable insights.· Demonstrate excellent statistical skills and are excited about learning new methods.· Are naturally curious about people, especially their motivations, attitudes, and behaviors.· Excel when interacting with business and technical partners whether you are chatting, sending a written message, writing a technical report, or conducting a presentation.· Enjoy working with stakeholders to define their key business needs and deliver on those commitments.· Innovate on behalf of your customers by proactively implementing improvements and taking steps to address challenges that they had not yet identified.· Are drawn to ambiguous, complex problems.· Surface and question both your own and others’ underlying assumptions.· Persuade decision makers at all levels of the organization to take aligned action on research findings – inspire and help them internalize opportunities to delight our customers and differentiate our service.· Define, execute, and invent research methods appropriate to the questions at hand, including but not limited to field research, surveys, lab studies, remote testing, and A-B tests.
US, WA, Seattle
Do you want to help guide the future of Amazon’s next generation of fulfilment services to create the best customer experience by pushing the boundaries of economic modeling and experiments? The Multi Channel Fulfillment team is looking for an Economist to play a key role in guiding the next fulfillment delivery platforms to serve the fast growing needs of our merchants and Customers. Economists at Amazon are expected to develop new techniques to process large data sets, address challenging quantitative problems, guide business decisions, and contribute to the design of automated systems around the company. Upon joining the team, you will guide our businesses by building econometric models, using our world class data systems and applying economic theory to solve problems in a fast moving environment.We are looking for an Economist who will lead the development of econometric models, experiments, and algorithms that will enhance our understanding of merchant and Customer behavior, and the impact of fee and policy changes globally. The ideal candidate will have experience with large scale marketplace behavior modeling, forecasting, outstanding technical abilities, and strong business acumen. They will be comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. The position will work closely with engineers, scientists, financial analysts, and product managers.Responsibilities:· Design and develop complex and innovative models to predict the impact of fees on third party seller’s behavior, growth, and commitment· Design and conduct experiments to validate theories, and improve understanding of Amazon’s third party ecosystem and the impact changes have on the customer experience· Refine fee structures to improve the benefits for customers and sellers· Collaborate with product managers, data scientists and software developers to incorporate models into production processes and influence senior leaders· Explain complex technical approaches to a variety of stakeholders, including senior leadership, software development teams, business/product teams, and cross-functional experts· Serve as subject matter expert for economics related issues within the Multi Channel Fulfillment team
US, NY, New York
We are looking for an applied scientist to join an initiative with strategic significance and high visibility. In this initiative you will build, from the ground up, a ML-powered short-form video feed on OTT devices. You will lead the innovation to launch an OTT app of short-form videos that allows users to serendipitously discover engaging content and satisfy their personalized needs to interact (rent/subscribe/share, etc.) This will establish the basis for brand content experiences on OTT, and eventually provide high quality traffic for brand advertisers.Now is Day 1 to revolutionize OTT into a destination for brand advertising, shopping, and social experiences. If you are a ML scientist who enjoys building consumer-facing applications and solving challenging ML problems in feed optimization, Come join us!In this role you will:· Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.· Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.· Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new predictive learning approaches for the sponsored products business.· Write production code to bring models into production.
US, WA, Seattle
At Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo, Dot or Tap. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday lifeWe are seeking a Data Scientist to be part of the Correction and Automated Recovery (CARe) team for Alexa Shopping. Our team focuses on solving the hard problem of recovering from shopping errors in the Alexa pipeline and improve customer CX. The solutions will help address unique shopping challenges and maximize the self-learning benefits for shopping. This is a strategic role to shape and deliver our science strategy in developing and deploying Machine Learning solutions to our hardest customer facing problems. The initiatives are at the heart of the organization and recognized as the innovations that are ground breaking and will allow us to exceed customer expectations. If this role seems like a good fit, please reach out, we'd love to talk to you.This role requires working closely with business, engineering and other scientists within Alexa, Shopping and across Amazon to deliver ground breaking features. You will lead high visibility and high impact programs collaborating with various teams across Amazon. You will work with a team of SDEs and Scientists to launch new customer facing features and improve the current features.
US, GA, Virtual Location - Georgia
The Amazon Devices organization designs, builds and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo devices. The Device Economics team is looking for an Economist to join our fast paced, start-up environment to help invent the future of product economics. We solve significant business problems in the devices and retail spaces by understanding customer behavior and developing business decision-making frameworks.You will build econometric and machine learning models for causal inference and prediction, using our world class data systems, and apply economic theory to solve business problems in a fast-moving environment. This involves analyzing Amazon Devices customer behavior, and measuring and predicting the lifetime value of existing and future products. We build scalable systems to ensure that our models have broad applicability and large impact. You will work with Scientists, Economists, Product Managers, and Software Developers to provide meaningful feedback about stakeholder problems to inform business solutions and increase the velocity, quality, and scope behind our recommendations.
US, WA, Seattle
We are looking for an Economist to join our fast paced, start-up environment to help invent the future of product economics. We solve significant business problems in the devices and retail spaces by understanding customer behavior and developing business decision-making frameworks. You will build econometric models for causal inference and prediction, using our world class data systems, and apply economic theory to solve business problems in a fast-moving environment. This involves analyzing Amazon Devices customer behavior, and measuring and predicting the lifetime value of existing and future products. We build scalable systems to ensure that our models have broad applicability and large impact.A day in the lifeEconomists closely work with our Finance stakeholders to ensure analyses are optimized for specific decision-making use cases. Economists define the specific research question based on stakeholder needs, propose methodologies, prototype models and explain their findings. For generalized solutions, we build econometric products, many of which are self-service, to continually generate value for stakeholders.About the hiring groupWe focus on guiding the business to make decisions based on causal inference metrics and providing decision-making frameworks. To ensure adoption of our work, we focus on transparency of our models. We also strive to explain heterogenous treatment effects, as average treatment effects can mask the most business relevant variation.Job responsibilitiesThe Device Economics team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Advanced knowledge of causal econometrics, as well as basic familiarity with Python, R or Stata is necessary, and experience with SQL would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.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, VA, Arlington
Global Talent Management (GTM) Science is an innovative organization that exists to propel Amazon HR towards being the most scientific HR organization on earth. The GTM Science mission is to use Science to assist and measurably improve every talent decision made at Amazon. We do this by discovering signals in workforce data, deploying statistical models into Amazon’s talent products, and guiding the broader GTM team to pursue high-impact opportunities with tangible returns. This multi-disciplinary approach spans capabilities, including: data engineering, reporting and analytics, research and behavioral sciences, and applied sciences such as economics and machine learning.We are seeking a Research Scientist with expertise in mixed-methods research in social science, public health, or similar research, including development and evaluation of theoretical frameworks, qualitative data collection and analysis methods in a variety of settings (e.g. focus groups, field studies, surveys, observational studies, “found data”, quantitative analytics), and statistics. The ideal candidate will be equally comfortable with qualitative and quantitative methods, though candidates with greater exposure to and familiarity with qualitative methods will be considered if a solid understanding of the quantitative methods described above exists. This person will possess strong experience with managing project deliverables for diverse stakeholders and thrive in a fast paced work environment. In this role you will:· Design, develop, and execute quantitative and qualitative data collection methods in Future of Work (FoW), Diversity Equity & Inclusion (DEI), and related talent management efforts· Conduct quantitative analyses of talent management data and trends· Conduct qualitative data collection and analysis· Partner closely and drive effective collaborations across multi-disciplinary research and product teams· Consult on appropriate analytic methodologies and scope research requests
US, VA, Virtual Location - Virginia
AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. We are looking for a passionate and talented Data Scientist who will collaborate with other scientists and engineers to develop computer vision and machine learning methods and algorithms to address real-world customer use-cases. You'll design and run experiments, research new algorithms, and work closely with talented engineers to put your algorithms and models into practice to help solve our customers' most challenging problems.This position requires that the candidate selected be a U.S. citizen and obtain and maintain an active TS/SCI security clearance.The primary responsibilities of this role are to:· Research, design, implement and evaluate novel computer vision algorithms.· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields.· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms· Interact with customer directly to understand the business problems and aid them in implementation of their ML solutionsHere 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 we 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.We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.**If you have questions, wish to apply or refer someone contact Josh May directly - joshmy@amazon.com**
US, VA, Herndon
The AWS Infrastructure Planning group is responsible for planning and coordinating a complex, multi-tier supply chain that delivers capacity for all AWS services. This includes data center setup, equipment purchase, installation and operation of servers with power and cooling, inventory management and other such decisions. We're building a new suite of tools to automate all AWS supply chain planning, with a broad charter that involves inventory optimization, placement, vendor allocation, transition management, lead time predictions, and more. We are responsible for ensuring that the AWS cloud remains elastic for its customers by taking care of all of the back-end complexity, enabling our infrastructure to stay ahead of our rapid growth.As an Applied Scientist you will use your experience to develop new strategies to improve the performance of AWS Infrastructure’s planning systems and networks. Working closely with fellow applied scientists and product managers, you will use your experience in modeling, optimization, and simulation to design novel algorithms and models of new policies, simulate their performance, and evaluate their benefits and impacts to cost, reliability, and speed of our supply chain.We are looking for experience in network and combinatorial optimization, algorithms, data structures, statistics, and/or machine learning. You will have an opportunity to work on large mathematical problems, with large elements of unpredictability. You will write and solve linear and mixed-integer problems to find optimal solutions to build decisions given capacity constraints and the demand distributions. You will also drive process changes that comes with automation and smarter optimization.Key Responsibilities:· Design and develop mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of inventory management, network flow, supply chain optimization, demand planning.· Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, dynamic programming, network flows and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.· Prototype these models by using modeling languages such as R, MATLAB, Mosel or in software languages such as Python.· Create, enhance, and maintain technical documentation, and present to other Scientists, Product, and Engineering teams.· Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans· Influence organization's long term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists.
US, WA, Seattle
Percolate is Amazon's content optimization system. We work on one of the company's largest scale machine learning systems operating on peta-bytes of data as well as high-performance real-time recommender systems that determine what content to show to every customer who visits Amazon. We develop models to understand customer behavior, content, and the customer's shopping context to create a personalized experience on all of Amazon's major shopping pages. Put your knowledge to work in cutting edge research areas in deep learning, reinforcement learning, natural language understanding, counterfactual learning, or engineering high performance real-time systems, massive offline data processing systems and analytics platforms. You will have the opportunity to have massive impact, as well as work in a high-performing team environment.This role requires a strong ability to Invent and Simplify: you will leverage your deep scientific expertise, strong problem-solving skills and excellent leadership skills to come up with new ways to get things done, research and define the next generation of our content optimization system. When leading this team, you will be required to:· drive scientist roadmap and determine which areas of research to invest· hire and develop the best· effectively communicate complicated machine learnings concepts to multiple partners.· drive big picture innovations with clear roadmaps for intermediate delivery· identify when to leverage existing technology versus innovate a new approach· work closely with partners to identify problems from the customer's perspective· incorporate subject matter expertise from across the company into our machine learning systemsIf you are excited about enabling hundreds of teams to launch new personalization experiments, working on high performance distributed systems, and want to have massive impact on millions of customers, this is the job for you. You are enthusiastic, self-driven with strong business instincts, have clear communication skills, and a track record of delivering great products. If that sounds like you, please talk to us! We are building the next generation of optimization and intent understanding system that powers the biggest internet retailer on earth, and we hope you will join us!
US, VA, Virtual Location - Virginia
AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. We are looking for a passionate and talented Data Scientist who will collaborate with other scientists and engineers to develop computer vision and machine learning methods and algorithms to address real-world customer use-cases. You'll design and run experiments, research new algorithms, and work closely with talented engineers to put your algorithms and models into practice to help solve our customers' most challenging problems.This position requires that the candidate selected be a U.S. citizen and obtain and maintain an active TS/SCI security clearance.The primary responsibilities of this role are to:· Research, design, implement and evaluate novel ML algorithms.· Work on large-scale datasets, creating scalable, robust and accurate machine learning systems in versatile application fields.· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms· Interact with customer directly to understand the business problems and aid them in implementation of their ML solutionsHere 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 we 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.We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.**If you have questions, wish to apply or refer someone contact Josh May directly - joshmy@amazon.com**
US, NY, New York City
Our team vision is simple yet complex: Create 3D models for every object sold on Amazon.We apply a mix of workflows, image processing, computer vision and machine learning techniques. As part of a world-class research team, you will be working with an Amazon-scale dataset, with Amazon-scale computing resources to devise methods to reconstruct 3D objects from a set of sparse visual inputs.For this specific project, we will be trying to render products from all angles without the explicit use of a 3D model, but rather using neural rendering for better quality. The objective is to scale one of the modern neural rendering techniques to cover the entire Amazon catalog. We aim to generate novels views for better informing customers. As customers will use these renderings to make purchase decisions, the rendering fidelity is of utmost importance.We are seeking an Applied Scientist with a background in Machine Learning applied to Computer Vision or Computer Graphics, and practical experience in implementing neural rendering.Imaging Sciences offers a dynamic workplace that is fueled by innovation and passionate collaboration in a highly multidisciplinary team. We take pride in developing cutting-edge technologies and products that are optimized for the best customer experience. Amazon Imaging Science’s vision is to provide the best product imagery in the industry to empower customers. Through technology, we seek to constantly increase the quality of photos, videos, and other visual media, to lower the cost of acquisition, and to create innovative imaging products.To know more about Amazon science, Please visit https://www.amazon.science
US, WA, Seattle
We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity.Come work on the Amazon Prime Air team!We're looking for an outstanding engineer who combines strong technical knowledge in computational fluid dynamics (CFD) and conjugate heat transfer (CHT) with practical experience in aircraft/vehicle design.In this role your responsibilities will range from proposing initial cooling solutions to conducting high-fidelity CFD and CHT simulations to verify thermal and aerodynamic performance. The role will include sizing ducts, fans, and heat sinks, as well as determining their placement on the vehicle, simulating both internal and external flow around electronic components, working with experimentalists to validate component temperatures, and documenting aerodynamic impacts of proposed thermal solutions.Export License ControlThis position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.
IN, KA, Bengaluru
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses.If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.Major responsibilities· · Use machine learning and analytical techniques to create scalable solutions for business problems· · Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes· · Design, development, evaluate and deploy innovative and highly scalable models for predictive learning· · Research and implement novel machine learning and statistical approaches· · Work closely with software engineering teams to drive real-time model implementations and new feature creations· · Work closely with business owners and operations staff to optimize various business operations· · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· · Mentor other scientists and engineers in the use of ML techniques
US, CA, Milpitas
We are a passionate team of doers that apply cutting-edge advances in technology to solve real-world problems and transform our customers’ experiences in ways we can’t even imagine yet. As an Applied Scientist, you will be working with a unique and gifted team developing exciting products for customers and collaborating with cross-functional teams.Responsibilities· Collaborate across functions to , develop and implement algorithms to solve high-impact problems· Evaluate statistical modeling and Machine Learning approaches using historical data· Define requirements and measurement criteria for scientific and machine learning models.· Translate model prototypes into secure, stable, testable, and maintainable production services.· Develop automated approaches towards monitoring model performance and evaluating impact.· Encourage and support knowledge-sharing within team and external groups· Responsible for influencing technical decisions in areas of /modelling that you identify as critical future offerings· Deliver algorithm and ML projects from beginning to end, including understanding the customer needs, aggregating data, exploring data, building & validating predictive models, and deploying completed models.Amazon is looking for an Applied Scientist to join an exciting new project team working to build a completely new, best in class . Our team is fast paced, highly collaborative and is organized like a startup.Here at Amazon, 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.Our 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 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.Our 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.Our main office is Milpitas Ca but other US-based Amazon centers are ok.
US, VA, Arlington
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon?Every time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs.Here in WW Consumer Finance, our data scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:· Developing visual solutions which help Amazonians search, find, compare, and buy goods / services critical to Amazon's operations· Developing production-ready machine learning solutions to drive savings across Amazon's corporate procurement catalog· Working with technical and non-technical customers across every step of data science project life cycle.· Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.Your contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.
US, VA, Arlington
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon?Every time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs.Here in WW Consumer Finance, our quantitative researchers raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:· Developing models to support the identification of investment opportunities consistent with Amazon strategic priorities· Developing models identifying synergy opportunities and risks in potential transactions· Serving as a subject matter expert on investment lead pipeline and valuation methodologies· Establish the ongoing processes, skill sets, and strategy that will enable Amazon to continue to build out our financial engineering competency, in the face of extremely fast growth and a rapidly changing industry· Working with technical and non-technical customers across every step of data science project life cycle.· Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.Your contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.
US, VA, Arlington
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon?Every time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs.Here in WW Consumer Finance, our applied scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:· Developing production ready solutions which help Amazonians search, find, compare, and buy goods / services critical to Amazon's operations· Developing production-ready machine learning solutions to improve Amazon's corporate procurement catalog· Working with technical and non-technical customers across every step of data science project life cycle.· Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.Your contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.
US, VA, Arlington
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon?Every time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs.Here in WW Consumer Finance our applied scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:· Developing production ready solutions which help Amazonians search, find, compare, and buy goods / services critical to Amazon's operations· Developing production-ready machine learning solutions to improve Amazon's corporate procurement catalog· Working with technical and non-technical customers across every step of data science project life cycle.· Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.Your contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.
US, WA, Seattle
We are constantly making Alexa the best voice assistant in the world. Amazon’s Alexa cloud service and Echo devices are used every day, by people you know, in and about their homes. The Alexa Monetization team is hiring talented and experienced Sr. Applied Scientists to help building the next generation products for Alexa across multiple channels and domains. We are seeking an experienced, entrepreneurial, big thinker for a confidential new initiative within Alexa. You will be joining a team doing innovative work, making a direct impact to customers, showing measurable success, and building with the latest natural language processing systems. If you are holding out for an opportunity to:Make a huge impact as an individual· Be part of a team of smart and passionate professionals who will challenge you to grow every day· Solve difficult challenges using your expertise in coding elegant and practical solutions· Create applications at a massive scale used by millions of people· Work with machine learning systems to deliver real experiences, not just researchAnd you are experienced with…· Drive applied science (machine learning) projects end-to-end ~ from ideation, analysis, prototyping, development, metrics, and monitoring· Conduct deep analyses on massive user and contextual data sets· Propose viable modeling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results· Design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting· Stay familiar with the field and apply state-of-the-art Machine Learning techniques to NLP and related optimization problems· Produce peer-reviewed scientific paper in top journals and conferencesAnd you constantly look for opportunities to…· Innovate, simplify, reduce waste, and increase efficiencies· Use data to make decisions and validate assumptions· Automate processes otherwise performed by humans· Learn from others and help grow those around you...then we would love to chat!In 2021, we have the opportunity to build new products and features from the ground up and we are looking for strong, bias for action engineering leaders who are not afraid of taking bold bets and trying new things to improve customer experience for Alexa.As part of a new and growing team, you will be iterating on new features and products to help drive innovation and expansion. You will work on cross-functional and cross-domain opportunities; tackle challenging projects aim to accelerate experimentations in Alexa; and build out operating mechanisms and technology to enable novel customer experiences. You will be instrumental in setting the team culture, quality bar, engineering best practices, and norms. Mentoring and growing the team around you will be one of the primary ways you measure your own success. You will have the opportunity to contribute and develop deep expertise in the areas of distributed systems, machine learning, conversational technologies, user interfaces (including voice and natural user interfaces), data storage and data pipelines.This role is exciting for scientists who love to apply startup mindset to their day-to-day, enjoy working cross-functionally to master both business and technology knowledge, and are passionate about building engineering best practices. If you are looking for opportunity to learn, grow and lead, this is the position for you.