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US, MI, Virtual Location - Michigan
Amazon strives to ensure that customers have access to a wide selection of goods, and that those goods meet all safety and regulatory standards. A new economics team launched by PARS-Tech (Product Assurance, Risk, and Security) will proactively study process improvements that maintain selection while simultaneously ensuring safety of our customers, partners, and Associates.The team is small but influential, and will work with the broader PARS team to develop science in this new area. A unique highlight of this team is that it offers an all-encompassing glimpse of the logistical chain, including: product development, transport across borders, storage and handling in fulfillment centers, information presentation on the detail page, shipping and returns. The team will be incubated for the first year inside of Core AI, an interdisciplinary team working on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve AI and ML problems that have high risk with abnormally high returns. Core AI offers access to world-class academic scientists and researchers that will consult and collaborate in developing solutions.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) define proper metrics and assemble unique datasets to test hypotheses; (3) assess and interpret (causal) empirical relationships using data; and (4) design and test how incentives affect behavior, taking into account dynamic long-term and strategic factors. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.
US, CA, Cupertino
Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use.Technical Responsibilities:- Interact with various teams to develop an understanding of their security and safety requirements.- Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.- Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.- Perform analysis of the customer systems using tools developed in-house or externally provided- Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.Leadership Responsibilities:- Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.- Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.- Mentors and trains the research scientist community on complex technical issues.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Here 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.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.
US, NY, New York
AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.About the Team. Would you like to join the team that protects the global AWS platform from fraud? Do you enjoy thinking like a fraudster and using your technical skills to help detect & mitigate AWS accounts from being compromised? If so, AWS Fraud Prevention has an exciting opportunity for you.The AWS Fraud Prevention Compromise vertical is responsible for detecting & mitigating AWS account compromise. You’ll be part of a team of Data Scientists, Investigations Analysts, and Technical & non-Technical Program Managers. The team’s goal is to identify and neutralize fraudsters from compromising AWS customers’ accounts.About the Role. As a Data Scientist, you will work directly with Business Analysts and Software Development Engineers to monitor the flavor/ trend of compromise on AWS worldwide and design appropriate solutions to respond in a collaborative environment. There are no walls, and success is determined by your ability to dive deep, and understand the subtle demands new and complex services will place upon systems and teams. As a Data Scientist your responsibilities will include:· Protecting AWS customers and the AWS business from compromise actors.· Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful.· Apply state-of-the-art Machine Learning methods to large amounts of data from different sources to build and productionalize fraud prevention, detection and mitigation solutions.· Keep up with and contribute to the progress of the Amazon and broader ML research communities in the context of fraud prevention.· Deep dive on the problems using SQL and scripting languages like Python/R to drive short term and long term solutions leveraging Statistical Analysis.· Analyze data (past customer behavior, sales inputs, and other sources) to figure out trends, create compromise prevention and mitigation solutions and output reports with clear recommendations.· Collaborate closely with the development team to recommend and build innovations based on Data Science.· Handle escalations from AWS Management for fraud, compromise and related activities.· Be the primary point of contact during compromise outbreaks – including analyses to identify and apply responses.· Collaborate in a fast paced environment with multiple teams and customers in a dynamic entrepreneurial organization.Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.comAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
US, WA, Seattle
Amazon’s mission is to be the most customer-centric company in the world. In support of this mission, the Employee Services organization strives to create a frustration-free environment allowing all Amazonians to focus on delivering, innovating and inventing for our customers. With all Amazonians has our customer, the Employee Experience Insights & Analytics team is seeking an applied behavioral/research scientist toexecute controlled, scientific research experiments to test hypotheses and provide stakeholders with otherwise unknown answers to important, high-priority HR questions.This team member will be responsible for designing and implementing metrics to better understand and solve the challenges within the employee experience while tracking impact to different business/operation area(s) bottom-line. We seek expertise in survey methodology, experimental design, sampling, data collection, extraction, psychometrics and analytics for success in this role. Relentless customer-orientation, constant curiosity, translation of research insight into business outcomes, openness to collaboration and personal development, and a commitment to the highest standards of methodological rigor and experimental design are a must.This role provides opportunity for significant exposure to Amazon’s culture, HR leadership, and global businesses; in addition to the opportunity to expand the team.Key Responsibilities· Lead the Data Science and Experimentation program· People manager experience leading data scientists, business analysts and/or business intelligence engineers· Provide expertise in applied behavioral research.· Define the appropriate combination of direct employee feedback and operational metrics and develop metrics to measure the health of employee experience for various services.· Conduct quantitative research to solve methodological problems.· Manage large-scale research projects.· Solve complex problems by selecting the ideal solution from a wide range of data science methodologies.· Develops end-to-end solutions.· Advances modelling and inference techniques.· Influences multiple teams.· Able to build consensus.· Advises Sr. Manager/Director/VP leaders.· Actively mentors/develops others.
US, WA, Seattle
Amazon Payments Services build systems that process payments at an unprecedented scale, with accuracy, speed, and mission-critical availability. We process millions of transactions every day worldwide across various payment methods. Over 100 million customers and merchants send hundreds of billions of dollars moving at light-speed through our systems annually. We are looking for a highly skilled, experienced, and motivated Applied Scientist to innovate and solve the challenges at a massive scale.This Applied Scientist role will design quantitative systems and forecasting models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon's Payments and Customer Experience. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams. You will contribute to the research community by working with other scientists across Amazon and our Payments Engineering as well as by collaborating with academic researchers and publishing papers. You will work closely with Software Development Engineers to invent and construct models on data at massive scale and it is likely that your work will end up in an Amazon product. Finally, you will also have exposure to senior leadership as we communicate results and provide scientific guidance to the business.As a Applied Scientist you will:· · Drive collaborative research and creative problem solving.· Constructively critique peer research and mentor junior scientists and engineers.· Create experiments and prototype implementations of new learning algorithms and prediction technique.· Collaborate with engineering teams to design and implement software solutions for science problems.· Contribute to progress of the Amazon and broader research communities by producing publication· Effectively collaborate in a fast paced environment with multiple teams in large organization (software development, Project Management, Build and Release, etc).
US, WA, Seattle
Amazon Advertising seeks an Economist to help develop an automated financial forecasting system for our DSP advertising business, and help model key relationships that drive advertiser value and impact our financial performance. We are looking for a motivated candidate who has operated successfully in a fast-paced, global, results-oriented environment and has the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of analyses. The successful candidate will collaborate closely with business teams to help execute and shape our product and financial strategy.If you enjoy using Econometric methods to shape strategy and build new initiatives from concept to full-scale operations this will be a good match. We are looking for a highly motivated individual to develop deep industry understanding, create new models gaining insight into advertising performance, analyze monetization strategies to maximize revenue, and provide guidance for feature roadmap prioritization and decision-making. This position will collaborate with business leaders on a daily basis and will be contributing to overall financial modeling and analysis during our operating cycle plans, periodic forecast updates, requirements planning, business reviews, and providing business insights into key initiatives.The successful candidate will be a self-starter who is comfortable with ambiguity; dives deep into data to find key relationships, creates models to better understand and forecast processes, is detail oriented and has the ability to work well with cross-functional teams including product development, science, sales, other finance teams, and senior leaders.
US, WA, Seattle
Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award-winning original content, add-on subscriptions including HBO and Showtime, and live events like Thursday Night Football and Major League Baseball. We are a premier provider of digital entertainment worldwide and we continue to grow very quickly! We need your passion, innovative ideas, and creativity to help continue to deliver on our ambitious goals.Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from harmful content ? Do you want to build advanced algorithmic systems that help millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join our Amazon Prime Video team.We are expanding our scene understanding team to drive compliance automation and exceptional customer experience using machine learning, computer vision, audio processing, and natural language understanding. Automation of video understanding at scale is our mission and passion. We need to solve problems across many cultures and languages. we have a huge amount of human-labelled data, and operation team to generate labels across many languages. Our team innovates, with many novel patents, inventions, and papers in the motion picture and television industry. We are highly motivated to extend the state of the art.As an applied scientist, you will apply your knowledge of deep learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. This is a greenfield with no "off-the-shelf algorithms" that can perform the job. We experiment a lot and it is a must to learn and be curios. You will be encouraged to see the big picture, be innovative, and positively impact millions of customersYou'll work with experienced managers who'll care for you. We'll guide you on your career growth path and there's no shortage of technical challenges.You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels. Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term. You are empowered to bring new technologies and deep learning approaches to your solutions.We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.
US, WA, Seattle
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 Operations, 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. It also comes with the largest repository of supply chain data to exist that’s growing by billions of data points by the minute.Here in Consumer Controllership Data Science our data scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:· Leveraging the largest repository of supply chain data to ever exist to develop models to forecast, classify, and detect anomalous costs.· 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.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
US, NC, Virtual Location - N Carolina
The AWS Central Economics team is looking for a PhD economist. The ideal candidate will have experience with time-series forecasting.You will learn about cloud products, including compute, storage, and databases. You will work on analytic projects requested by senior leadership. You will get the opportunity to learn new techniques. You will be a part of a team with many experienced economists.
US, WA, Seattle
Compensation Science is building economic models and algorithms from the ground up to design and scale pay for hundreds of thousands of Amazon employees worldwide. The fast-growing, interdisciplinary team is working at the intersection of economics, machine learning, and product development.We are looking for an outstanding, end-to-end economist who is able to provide structure to ambiguous, complex business problems, conduct causal econometric analysis, work with engineers to launch science models in product, and measure the impact of policy changes.This role will build and operationalize econometric models for new compensation products owned by the team and initiate high impact projects in the compensation and benefits space. Economists at Amazon have access to engineering and econometric tools and opportunities to learn new econometric and machine learning methods from world-class scholars.Responsibilities:· Own the development of economic models and econometric analysis· Assist in the delivery of automated, scalable analytic models· Work collaboratively with economists, scientists, and engineers on the team and across the HR organization· Interpret and communicate results to global business stakeholders
CA, BC, Vancouver
The Economic Technology team (EconTech) is looking for a Research Scientist to build Reinforcement Learning solutions to solve economic problems at scale. EconTech uses 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 disruptive 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 Research Scientist, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. 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; you're interested in learning; and you acquire skills and expertise as needed.
US, CA, San Diego
The Economic Technology team (EconTech, ET) is looking for an a experienced Applied Scientist Manager to build Reinforcement Learning solutions to solve economic problems at scale. ET uses 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 disruptive solutions using cutting-edge technology to solve some of the toughest business problems at Amazon.You will lead multiple teams of engineers, 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 provide thought leadership to 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 a leader who wants to have business impact, dive deep into large-scale economic problems, and enable measurable actions on the Consumer economy. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As a Manager, Applied Science, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. 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; you're interested in learning; and you acquire skills and expertise as needed..As an Applied Science Manager, you will:· Lead a group of talented 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, CA, Virtual Location - California
Are you passionate about conducting research to improve people’s lives? Would you like to impact more than one million Amazonians globally and improve their employee experience? If so, you should consider joining Organizational Research and Measurement (ORM) for World Wide Consumer Talent. Our goal is to be the best and most diverse workforce in the world. ORM uses science, research and technology to optimize employee experience and performance across the full employee lifecycle, from first contact through exit.We are looking for economists to join a new team that focuses on the economic issues of more than one million associates at Amazon. The economist will work with data scientists and data engineers to frame ambiguous and complex business problems into specific scientific questions, design experiments and develop models using large scale data, and transform the insights into improved policies and products at scale. Ideal candidates should have business acumen, technical skills in causal inference, and be able to communicate the insights to multiple audiences (e.g., scientific peers, functional teams and business leaders).
US, VA, Herndon
Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help public sector, medical center, and non-profit customers derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology?At Amazon Web Services (AWS), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our AWS customers to address their business needs using AI.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. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers.If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location (D.C, Maryland, Virginia, Illinois, Pennsylvania, New York, New Jersey) where we have a WWPS Professional Service office.We’re looking for top architects, system and software engineers capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.The primary responsibilities of this role are to:· Design data architectures and data lakes· Provide expertise in the development of ETL solutions on AWS· Use ML tools, such as Amazon SageMaker Ground Truth (GT) to annotate data. Work with Professional Services on designing workflow and user interface for GT annotation.· Collaborate with our data scientists to create scalable ML solutions for business problems· Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem· Analyze and extract relevant information from large amounts of historical data — provide hands-on data wrangling expertise· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms· This position can have periods of up to 10% travel.Here 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.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.
US, CA, San Diego
The Economic Technology team (ET) is looking for a Senior Applied 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 Senior Applied 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, San Diego
The Economic Technology team (EconTech, ET) is looking for an Applied Scientist to build Reinforcement Learning solutions to solve economic problems at scale. ET uses 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 disruptive 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 an Applied Scientist, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. 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; you're interested in learning; and you acquire skills and expertise as needed.
US, WA, Seattle
The Fulfillment Optimization Research team seeks experienced Applied and Research Scientists with strong analytical skills to join our team. We are focused on improving Amazon’s customer experience and in saving hundreds of millions of dollars using cutting edge optimization, simulation, machine learning, and scalable distributed software.We build systems that use real time, large scale optimization techniques to make operational, tactical and strategic decisions in the fulfillment space. We optimize how each customer order gets fulfilled striving to maximize customer experience, deliver fast and keep our fulfillment costs low. We also own network control algorithms that ensure that capacities are allocated optimally and we run strategic models that dynamically change the structure of our supply chain network by adding or removing fulfillment paths to increase our overall operational efficiency.Additionally we also heavily leverage Machine Learning techniques at a broad scale. For instance we use ML in predicting customer orders patterns that lead to consolidation and thus reduce customer shipments. We also use ML to explain key performance indicator changes over time as well as estimating risks of customer experience misses that we should hedge against.As a member of this team, the candidate will play an integral part in Amazon.com's Supply Chain Optimization Technologies by successfully partnering with various Operations, IT, Retail, and Finance teams to support new business initiatives. The candidate will also work closely with affiliated science teams to leverage the expertise of each individual to construct models, perform analyses, and derive relevant metrics.This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon’s strategic needs.Position Responsibilities:Interact with various software and business groups to develop an understanding of their business requirements and operational processes.Apply the acquired knowledge and business judgment to build decision-supporting and operational tools to improve the bottom line.Build quantitative mathematical models to represent a wide range of supply chain, transportation and logistics systems.Perform quantitative, economic, and numerical analysis of the performance of these systems under uncertainty using statistical and optimization tools such as R, Python and XPRESS 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.Apply Machine Learning and regression techniques to tackle predictive modeling problems.Apply Mathematical optimization techniques, including Linear Programming, Integer Programming, Dynamic Programming, Network optimization algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.Create software prototypes to verify and validate the devised solutions methodologies.To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scot
US, WA, Seattle
An information-rich and accurate product catalog is a strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a large selection, and positions Amazon as the first stop for shopping online. We use data analysis and statistical and machine learning techniques to proactively identify and fix item-item relationships within the Amazon product catalog. This problem 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).Amazon’s Item Authority group is looking for an innovative and customer-focused applied scientist to help us make the world’s best product catalog even better. We believe that failure and innovation are inseparable twins. In this role, you will partner with technology and business leaders to build new state-of-the-art algorithms, models, and services to infer product-to-product relationships that matter to our customers. You will work in a collaborative environment where you can experiment with massive data from the world’s largest product catalog, work on challenging problems, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers.
US, WA, Seattle
What is the most relevant business data for AWS leadership? What are the most important insights in this data? Are we investing enough in our infrastructure, or too much? How much new workloads do our new products drive into AWS? Which initiatives help our customers utilize AWS the most? How do our customers react to changes in prices, purchase options or products?The Central AWS Econ team is dedicated to answering these questions using quantitative, economic and statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and provide insights to executive leaders throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions.This Data Scientist role will develop models and datasets to support projects led by our senior researchers. The successful candidate will be a versatile problem solver who enjoys diving into data. This role is ideal for a data scientist who has strong coding skills. The role requires moving algorithms from prototype to application, optimizing and evaluating alternative technical approaches to the problem. The work will require collaborating with Data Scientists, BIEs and Data Engineers across AWS.Key Responsibilities:· Develop ML models for customer level predictions· Implement new algorithms to improve existing models· Collaborate with data engineers to integrate new data sources into the econ pipeline
US, WA, Seattle
Want to change the way people watch TV? The Prime Video team is shaping the future of digital video entertainment. Our mission is to offer customers the widest selection of digital video content and make it trivially easy for them to enjoy it wherever, whenever, and however they want. Within the Prime Video team, the Title Display Experience team relentlessly obsesses over simplifying a customer's viewing decision by presenting the most accurate and most relevant title information to them.We are looking for a Sr. Data Scientist who is results-oriented, data driven, innovative and passionate at creating new comprehensive customer engagement services/solutions. You’ll work on technologies such as such as SQL, Python, and AWS to build the world’s most innovative customer experience solutions. You will influence product and engineering direction by producing models and analyses that reshape the way we understand movies and TV shows. In partnership with your team, you will be responsible for changing the way our customers discover and choose movies in Prime Video.Creating insightful, scalable and actionable data models requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building data driven statistical and optimization models. This person has thrived and succeeded in delivering high quality insights in a hyper-growth environment where priorities shift fast.