Galway, Ireland
Conferences & Events
Amazon @ CIKM 2020
October 19 - 23, 2020
Galway, Ireland

Overview

Note: CIKM 2020 will be a fully virtual conference and presentations will be given via pre-recorded videos, followed by synchronized online discussions during the scheduled conference period.

Amazon is proud to be a Silver sponsor of CIKM 2020.

About CIKM: The Conference on Information and Knowledge Management provides an international forum for presentation and discussion of research on information and knowledge management, as well as advances on data and knowledge bases. The primary purpose of the conference is to identify challenging problems related to knowledge and information systems, and to shape future directions of research.

Conference Website

Amazon Program Committee Members

  • cheng_cao
    Cheng Cao
    Full papers program committee member, external reviewer
  • anjie_fang.jpg
    Anjie Fang
    Full papers program committee member, external reviewer
  • xian_li.jpg
    Xian Li
    Full papers program committee member, external reviewer
  • rongting_zhang.jpg
    Rongting Zhang
    Full papers external reviewer
  • Abdalghani_Abujabal.jpg
    Abdalghani Abujabal
    Short papers progam committee member
  • parth_gupta.jpg
    Parth Gupta
    Short papers program committee member
  • kai_hui.jpg
    Kai Hui
    Short papers program committee member
  • chen_luo.jpg
    Chen Luo
    Short papers program committee member
  • luca.jpg
    Luca Soldaini
    Short papers program committee member

Keynote Speaker

  • Xin Luna Dong.jpeg
    Xin Luna Dong
    Principal Scientist
    Ceres: Harvesting Knowledge from the Semi-structured Web

Publications (partial list)

PCompanion architecture.png
Improving complementary-product recommendations
Tong Zhao
October 07, 2020
New modeling approach increases accuracy of recommendations by an average of 7%.
Search and information retrieval
Read More

Connect with us at CIKM

Amazon scientists are looking forward to meeting you at CIKM. If you would like to meet with us in person at the conference, please contact CIKM2020@amazon.com.

Are you ready for your next opportunity? Check out our open positions below. We have global opportunities available.

Work with us

See More Jobs
Manager, Data Science
IT, Turin
Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Alexa and Amazon products and services such as the Amazon Echo and Dot. Come join us!We're looking for a Data Science Manager who combines exceptional technical and analytical capabilities to build and lead a team that will be integral to the continued improvement of Amazon Alexa. As a Data Science Manager, you will be responsible for leading a team of researchers and data experts in the design, development, testing, and deployment of speech and language data processes and model improvements, supporting a range of products.This involves:· · Conducting and coordinating process development leading to improved and streamlined processes for model development. Strong customer focus is essential.· · Providing technical and data driven guidance to your team members.· · Communicating effectively with senior management as well as with colleagues from science, engineering and business backgrounds.· · Supporting the career development of your team members.· A successful candidate will have a demonstrated experience in people management, excellent project management skills, great communication skills, a strong technical ability, and the motivation to achieve results in a fast-paced environment.
Applied Scientist II - Automated Reasoning Group
US, CO, Virtual Location - Colorado
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.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
Head of Data Science and Analytics, Japan Consumer Innovation
JP, 13, Meguro
Japan Consumer Innovation's mission is to help every vendor drive the most significant impact selling on Amazon. Our team invent, test and launch some of the most innovative services, technology, processes for our global vendors.Amazon is looking for a talented and passionate Head of Data Science and Analytics leader to build: world class team, demonstrate thought-leadership and guide the team to make the right scientific or technical trade-offs to meet long term/short-term business needs, and oversee the build of statistical and machine learning models to understand and growth for our vendors. You will lead research and drive greenfield invention leading a team of data scientists, analyst and working side by side with our software engineers, applied scientists, product managers, and UX designers. You will be comfortable with ambiguity and enjoy working in a fast-paced and dynamic environment.This person is accountable for:(1) Creating a road map of the most challenging business questions from our leading vendors and use data to articulate possible root cause analysis and solutions.(2) Co-create with other scientists across Amazon globally, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve vendor analytics, prove incrementality and drive growth.(3) Partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our vendors.(4) Understanding drivers, impacts, and key influences on vendor growth dynamics.(5) Drive actions at scale to provide high impact services for vendors using scientifically-based methods and decision making and driving a low cost to serve.(6) Helping to build production systems that take inputs from multiple models and make decisions in real time.(7) Automating feedback loops for algorithms in production.(8) Utilizing Amazon systems and tools to effectively work with terabytes of data.Science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.
Data Scientist II - AMZ4743
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCTitle: Data Scientist IIWorksite: Seattle, WAPosition Responsibilities:Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Applied Scientist
US, WA, Seattle
The Economic Technology team (ET) is looking for an 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 an 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.
Sr. Applied Scientist, Alexa AI
US, CA, San Diego
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 the Alexa Artificial Intelligence team. We are responsible for the deep learning technology that is central to the automated ranking and arbitration to optimize for end-to-end customer satisfaction.As an Senior Applied Scientist you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of 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.
Senior Machine Learning Engineer, Public Sector - AWS Professional Services
US, CA, Virtual Location - California
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, California) where we have a WWPS Professional Service office. This position will require up to 40% travel as appropriate when allowed.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.· This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS security clearance.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.
Applied Scientist
US, CA, Cupertino
Payments Security team is looking for an Applied Scientist to apply formal verification, program analysis, and constraint-solving to prove the correctness of critical systems. In this role, you will work closely with internal security teams to design and build formal verification systems that continuously assess safety and security. You will build on top of existing formal verification tools developed by AWS and develop new methods to apply those tools at scale. You will need to be innovative, entrepreneurial, and adaptable. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.
Sr. Applied Scientist
US, WA, Bellevue
Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon has invested in Amazon Logistics, a world class last mile operation. We are looking for a dynamic, resourceful, and organized Sr. Applied Scientist within Amazon Logistics’ Amazon Flex organization to develop the right data-driven solutions to support the most critical components of this rapidly scaling operation.As part of the Driver Science team, you’ll partner closely with Science, Product, and Program teams to design of new and innovative solutions to organizational and business problems, using statistical best practices to justify design decisions using data. You will be expected to be a subject matter expert in quantitative analysis and to communicate highly complex findings to multiple audiences. You may come from one of many different types of quantitative backgrounds, but you must be an expert in big data, machine learning, and productionalization. You will be working closely with Tech teams but will be responsible to helping rapidly push models into production and measuring business impact. You are a thought leader, creating scientific strategies and visions to solve ambiguous problems.Key Responsibilities· Execute global research initiatives· Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results· Share deep knowledge in machine learning to our problem space.· Work in an ambiguous environment
Principal Applied Scientist - IMDb TV
US, Virtual
The IMDb TV team is shaping the future of digital video entertainment. Our mission is to build earth’s most customer centric ad supported premium free video service and make it trivially easy for hundreds of millions of customers to enjoy.We have learned that customer’s love IMDb TV so we are looking for an Principal Applied Scientist who can build on our early success, pioneer new programs for customers, and help define our future.As a Principal Applied Scientist, you will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will work with talented peers and leverage Amazon’s heterogeneous data sources and large-scale computing resources. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit tens of millions of Amazon.com customers.This is very much Day 1 for IMDb TV so you would be joining an entrepreneurial and pioneering team that is building from scratch.
Senior Data Scientist
US, WA, Seattle
Amazon's Customer Journey Analytics team creates reporting and analysis for teams across the retail website. As part of the analytics team, you have the opportunity to discover insights that drive changes in how customers shop and interact with the website.We are seeking an exceptionally curious and customer focused Data Scientist responsible for identifying and solving customer pain points across the Amazon website. This candidate will conduct scientific research, build predictive models and contribute to production ML rankers to enhance the customer experience and drive long term financial value.A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). They should be able to translate how data represents the customer experience, be comfortable dealing with large and complex data sets, and have experience using machine learning and econometric modeling to solve business problems. They should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them.Key responsibilities include:· Design, build and automate datasets to scale and support business needs, allowing you to focus on answering hard and ambiguous question· Identify, develop, manage, and execute research to uncover areas of opportunity and present recommendations that will shape the future of the retail website· Retrieve and analyze data using a broad set of Amazon’s data technologies and resources, knowing how, when, and which to use.· Collaborate with product, technical, business, marketing, finance, and UX leaders to gather data and metrics requirements.· Design, drive and analyze experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions.· Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.· Develop and document scientific research to be shared with the greater data science community at Amazon
Applied Scientist
US, WA, Seattle
Interested in driving thought leadership on customers discovering Private Brands? We’re building intelligent data models and NLP algorithms that will transform digital marketing discovery for Private Brands at Amazon. Come join us!We are looking for a scientist to lead innovation for our discovery efforts across all placements and all page types by developing innovative algorithms to determine the right content to serve within the right context. This role has a significant global revenue impact. At the heart of our discovery engine are systems for optimizing query sourcing, merchandising allocations, experimentation infrastructure, machine learning methods for inference and metrics-driven closed loop optimizations. This role is responsible for innovation aimed at step-changing these systems, and accelerating the pace of Machine Learning and Optimization. In addition, this scientist will be required to invent new approaches in solving challenging problems like cold start product recommendation, real-time learning customer intent and personalizing contents and optimizing trade-offs between incremental Private Brands sales and the foregone advertising opportunities.To be successful in this role you will need to be comfortable defining a long-term science vision for discovery across placements, and translating that direction into specific plans for applied scientists, as well as engineering and product teams. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding. The ideal candidate will be an independent thinker who can make convincing, information-based arguments. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. This person will have sound judgment and help recruit and groom high caliber science talent.
Applied Scientist
US, NY, New York
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 looking for talented Applied Scientists who can help us take our products to the next level who has deep passion for building machine-learning solutions; ability to communicate data insights and scientific vision, and has a proven track record of execute complex projects.As an Applied Scientist in Machine Learning, you will:· Conduct hands-on data analysis, build large-scale machine-learning models and pipelines· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production· Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving· Provide technical leadership, research new machine learning approaches to drive continued scientific innovation· Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences· Help attract and recruit technical talent
Research Scientist - Alexa on FireTV
US, WA, Seattle
Alexa is the groundbreaking, cloud-based intelligent agent that powers Fire TV with your voice. The Alexa on Fire TV team is building the science and technology behind Alexa. Come join us! Our goal is to delight our customers by adding new features to Alexa on Fire TV and by improving the accuracy of our existing speech recognition and natural language processing systems.As a Research Scientist, you will be responsible for the natural language understanding models for Fire TV use cases. 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:· 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
Data Scientist - ML Labs
GB, London
Machine Learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The ML team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and the cloud. As an ML Data Scientist in the AWS ML team, you'll partner with technology and business teams to build new services that surprise and delight our customers. You will be working with terabytes of text, images, and other types of data to solve real-world problems.You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will help by developing new ML models, pipelines and architectures to help customers solve their critical business cases, such as autonomous driving, supply chain optimization, predictive maintenance, fraud detection and more. You will support our customers on their ML journey by helping to develop Proof of Concepts, and at the same time helping them understand the technology behind the scientific choices you make.We’re looking for top ML data scientists 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:· Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems· Design, development and evaluation of highly innovative models for predictive learning, content ranking, and anomaly detection· Interact with customers directly to understand the business problem, help and aid them in implementation of DL/ML algorithms to solve problems· Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithmsThis position requires travel of up to 40%.We at AWS value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.This team will be comprised of Deep Learning Architects and Data Scientists to create cutting edge solutions for clients across EMEA. We are currently recruiting for talented individuals in the following cities: London and Berlin. Discover more at https://www.amazon.jobs/en/teams/amazonai.
Sr. Applied Scientist
US, WA, Seattle
Interested in driving thought leadership on customers discovering Private Brands? We’re building intelligent data models and NLP algorithms that will transform digital marketing discovery for Private Brands at Amazon. Come join us!We are looking for a senior scientist to lead innovation for our discovery efforts across all placements and all page types by developing innovative algorithms to determine the right content to serve within the right context. This role has a significant global revenue impact. At the heart of our discovery engine are systems for optimizing query sourcing, merchandising allocations, experimentation infrastructure, machine learning methods for inference and metrics-driven closed loop optimizations. This Senior Applied Scientist is responsible for innovation aimed at step-changing these systems, and accelerating the pace of Machine Learning and Optimization. In addition, this scientist will be required to invent new approaches in solving challenging problems like cold start product recommendation, real-time learning customer intent and personalizing contents and optimizing trade-offs between incremental Private Brands sales and the foregone advertising opportunities.To be successful in this role you will need to be comfortable defining a long-term science vision for discovery across placements, and translating that direction into specific plans for applied scientists, as well as engineering and product teams. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding. The ideal candidate will be an independent thinker who can make convincing, information-based arguments. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. This person will have sound judgment and help recruit and groom high caliber science talent.
Measurement Lead, Applied Science Manager
US, WA, Seattle
Do you have a passion for diving deep to uncover key insights that drive critical business decisions? If yes, the Customer Behavior Cross Channel Optimization (CBA-XO) team is looking for somebody with your enthusiasm and skills to work as part of the WW central team.Scientists and Economists at Amazon are solving some of the most challenging applied science questions in the tech sector. Amazon scientists apply the frontier of ML algorithms to market design, pricing, forecasting, program evaluation, online advertising, and other areas. Our scientists and economists build statistical models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords scientists the opportunity to work with data of unparalleled quality, apply rigorous applied science approaches, and work with some of the most talented applied econometricians and data scientists in the trade.The Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience. CBA-XO’s mission is to make Amazon’s marketing the most measurably effective in the world. Our long-term objective is to measure the incremental impact of all Amazon’s marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon’s marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance we will lead the Amazon worldwide marketing community by providing critical cross-country insights that can power marketing best practices and tenets globally.We are looking for a seasoned leader to manage a talented team of machine learning scientists and economists to build long-term causal estimation products using a combination of econometrics, machine learning and statistics leveraging the power of big data. These products lay the foundation of several key initiatives and strategic program investments at Amazon, generating multiple $Bns in incremental value across the company.Key Responsibilities:- Applies deep expertise in causal modeling to develop large-scale systems that are deployed across the company. Reviews and audits modeling processes and results for other scientists, both junior and senior.- Describes strategic importance of vision inside and outside of team. Identifies business opportunities, define the problem and roadmap to solve it. Brings a department or company-wide perspective in decision making.- Partners with the Product and Engineering teams to build production level systems to estimate the incremental impact of Amazon’s Marketing- Leads the project plan from a scientific perspective on small to medium product launches including identifying potential risks, key milestones, and paths to mitigate risks- Coaches and gives feedback to direct reports to help develop talent and support career development- Sets and balances goals across team to optimize performance against department goals and employee development. Identifies resource needs for the team.
Applied Scientist
US, WA, Seattle
The Sustainability Science and Innovations (SSI) team is looking for an Applied Scientist to join our team in building customer-focused sustainability products. The SSI team applies Machine Learning, Data Science, 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 sustainability solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.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 Sustainable economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.
Sr. Data Scientist - ML Labs
GB, London
Machine Learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The ML team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and the cloud. As a Sr. ML Data Scientist in the AWS ML Solutions Lab team, you'll partner with technology and business teams to build new services that surprise and delight our customers. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will help by developing new ML models, pipelines and architectures to help customers solve their critical business cases, such as autonomous driving, supply chain optimization, predictive maintenance, fraud detection and more. You will support our customers on their ML journey by helping to develop Proof of Concepts, and at the same time helping them understand the technology behind the scientific choices you make.We’re looking for Senior ML Data Scientists 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:· Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems· Design, development and evaluation of highly innovative models for predictive learning, content ranking, and anomaly detection· Interact with customers directly to understand the business problem, help and aid them in implementation of DL/ML algorithms to solve problems· Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithmsThis position requires travel of up to 40%.We at AWS value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.This team will be comprised of Deep Learning Architects and Data Scientists to create cutting edge solutions for clients across EMEA. We are currently recruiting for talented individuals in the following cities: London and Berlin. Discover more at https://www.amazon.jobs/en/teams/amazonai.
Head of Advertising Experimentation, Analytics and Insights
US, NY, New York
How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and customers find each other in a meaningful way? Amazon Advertising creates and transforms the connection between retailers, service providers and customers. Join the Analytics & Insights Team to contribute to product and service solutions that allow us to solve this with data science. If you are passionate about developing analytics and testing solutions to solve business problems, and are looking for a team that drives results to help influence Amazon business decisions, this is the right place for you.The Analytics & Insights Professional Services Team is looking for a Head of Advertising Experimentation Team to lead a team of Data Scientists and Business Analysts who analyze big data to build models and algorithms that power our advertising experimentation services and products. We work with advertisers on recommendations for testing in order to improve their advertising effectiveness and strive to better understand the advertising and non-advertising features that best influence and predict advertising campaign performance and incrementality. In this role, you will set the vision and direction for the team and collaborate with internal stakeholders across product and services to scale and advance our experimentation and incrementality testing offerings. The ideal candidate must be willing to effectively lead the team, project-manage and prioritize across multiple stakeholders and tasks, exhibit strong problem-solving skills and be ready to jump into a fast-paced, dynamic and fun environment.Responsibilities:· Lead and provide coaching to the Advertising Experimentation Team including Data Scientists and Business Analysts.· Partner with advertisers and experimentation teams to generate A/B and incrementality test recommendations to improve marketing effectiveness and inform their future marketing investments.· Work with product, data science, experimentation and analytics teams to share knowledge from performance tests, design packaged experimentation insights and inform future product roadmaps.· Use Amazon’s unique data, analyze huge and complex data sets, design and implement solutions using a range of data science methodologies to solve complex business problems.· Demonstrate deep analytical ability, and develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data driven insights to our advertisers.· Build consensus with business stakeholders on how your models and algorithms will drive the optimal results for Amazon customers.· Educate advertisers and internal teams on performance and incrementality testing by writing whitepapers and knowledge documentation and delivering learning sessions.
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