Publication

OpenCeres: When Open Information Extraction Meets the Semi-Structured Web

By Colin Lockard, Xin Luna Dong, Prashant Shiralkar
2019
Download
Abstract
Open Information Extraction (OpenIE), the problem of harvesting triples from natural language text whose predicate relations are not aligned to any pre-defined ontology, has been a popular subject of research for the last decade. However, this research has largely ignored the vast quantity of facts available in semistructured webpages. In this paper, we define the problem of OpenIE from semi-structured websites to extract such facts, and present an approach for solving it. We also introduce a labeled evaluation dataset to motivate research in this area. Given a semi-structured website and a set of seed facts for some relations existing on its pages, we employ a semi-supervised label propagation technique to automatically create training data for the relations present on the site. We then use this training data to learn a classifier for relation extraction. Experimental results of this method on our new benchmark dataset obtained a precision of over 70%. A larger scale extraction experiment on 31 websites in the movie vertical resulted in the extraction of over 2 million triples.
Share
Download

Work with us

See More Jobs
Applied Scientist II
US, MA, Cambridge
Alexa is the groundbreaking voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our team's mission is the enable Alexa to understand sounds and vocalization beyond speech. As an Applied Scientist, you will work with talented peers to develop novel machine learning algorithms and modeling techniques to advance the state of the art in speech and audio processing. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. You will mentor junior scientists, create and drive new initiatives.
Applied Scientist II - Automated Reasoning Group
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.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
Applied Scientist II - Automated Reasoning Group
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.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
Senior Applied Scientist - NLP / IR
DE, BE, Berlin
As a Senior Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search engine. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages, not only English and major languages of Europe, but also Turkish, Arabic, Japanese, and more. The team plays a central role in search query understanding, product indexing, and representations/embeddings of queries and products, all of which aid in improving the ranking and relevance of search results.This is a rewarding role where you will be able to draw a clear connection between your work and how it improves the experience of millions of Amazon customers across the globe every day. You will propose and explore publication-worthy innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Your responsibilities include:· Analyze the data and metrics resulting from traffic into Amazon's product search engine· Design, build, and deploy effective and innovative ML solutions to improve various components of the search stack, such as indexing, ranking, and query understanding· Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production· Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IRYour benefits include:· Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers· The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems· Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals· Excellent opportunities, and ample support, for career growth, development, and mentorship· Competitive compensation, including relocation support (for both domestic and international candidates)
Data Scientist
US, WA, Seattle
Ever wonder how you can apply your analytics skills to drive customer experience improvements for a diverse, innovative, and fun company like Amazon? Amazon’s Customer Insights and Research team is looking for a Data Scientist to help do exactly that and much more! If you have experience in surveys, experimental design, statistical analysis, and NLP-based machine learning algorithms and are interested in going deeper into data, this is the right opportunity for you. Our team is responsible for conducting global NPS studies to help business teams drive strategic initiatives that advocate for the best possible customer experience. We have a diverse suite of skill sets on the team, including Business Analysts, Business Intelligence Engineers, Data Scientists, Product Managers, and Software Development Engineers. Data Scientists in our team apply their skills to design studies and surveys, design and apply statistical analyses, and apply NLP-based processing and machine learning algorithms. Data Scientists also continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics.
Bioinformatician Lead
US, WA, Seattle
Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed.To help solve this problem, Amazon has begun building incremental testing capacity and conducting research and development to apply cutting-edge technology advances to solve testing bottlenecks. We are seeking a Bioinformatics Lead to help define new approaches and execute against scaling them. You will work with a unique and gifted team developing these and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers in the field.
Applied Scientist II - AMZ4804
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Applied Scientist IILocation: Seattle, WAPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Data Scientist II - AMZ4800
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Data Scientist IILocation: 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 II - AMZ4802
US, MA, Cambridge
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Applied Scientist IILocation: Cambridge, MAPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and natural language (NL) applications. Develop and apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Data Scientist II - AMZ4707
US, AZ, Tempe
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCTitle: Data Scientist IILocation: TEMPE, AZPosition Responsibilities:Own the data science elements of various Account Clustering Data Services products to help with data based decision making, product performance optimization, risk-based clustering, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Bridge the Degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
2021 Computer Vision Research Internship
ES, B, Barcelona
Are you a Master’s or Ph.D. student interested in applying machine learning techniques to big-data sets? Are you excited by analyzing and modeling terabytes of text, images, and other types of data to solve real-world problems? We’re looking for smart scientists capable of using machine learning and statistical techniques to invent state-of-the-art solutions to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Amazon has multiple positions available for Machine Learning Scientists in Barcelona.
Machine Learning Scientist - Amazon Advertising
US, CO, Boulder
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, truly innovative advertising group with a relentless focus on the customer, you’ve come to the right place.Our team, Machine Learning Optimization, develops machine learning algorithms in high performance, petabyte-scale distributed systems. Our systems process billions of ad impressions daily from across the internet to power all of Amazon’s advertising reporting, as well as algorithms for audience targeting, real time ad ranking and bidding, and automated campaign optimization.We are looking for a talented Business Intelligence Engineer who is passionate about building metrics and pipelines and has the growth goal of getting deep in quantitative algorithm analysis. In this role, you will work with scientists, engineers, and product managers on high impact initiatives in Amazon’s Display Advertising.Job responsibilities:· Innovate new machine learning approaches for advertising targeting and optimization· Research and implement novel experimental design and measurement methodologies· Establish scalable, efficient, automated processes for large scale machine learning· Leverage petabyte scale data in strategic analysis for new monetization strategies, products and business directionsImpact and Career Growth:· Identify problems and opportunities leading to significant business impact.· Leverage petabyte scale data.· Opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.· Drive real-time algorithms to allocate billions of ads per day in advertising auctions.· Have the ability to experiment effectively with meaningful projects.Amazon is investing heavily in building a world class advertising business. 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. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Together, we will change the face of advertising and retail.You can join our Seattle, New York or Boulder offices.
Sr. Data Scientist
US, VA, Arlington
Ever wonder how you can apply your analytics skills to drive customer experience improvements for a diverse, innovative, and fun company like Amazon? Amazon’s Customer Insights and Research team is looking for a Data Scientist to help do exactly that and much more! If you have experience in surveys, experimental design, statistics and econometrics, and are interested in going deeper into data, this is the right opportunity for you. Our team is responsible for conducting global NPS studies to help business teams drive strategic initiatives that advocate for the best possible customer experience. We have a diverse suite of skill sets on the team, including Business Analysts, Business Intelligence Engineers, Data Scientists, Product Managers, and Software Development Engineers. Data Scientists on our team apply their skills to design studies and surveys, design and apply statistical analyses, and apply NLP-based process. Data Scientists also continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics.
Sr. Research Scientist
US, WA, Seattle
Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in determining how to plan and predict inventory flows WW? Come and join us!The Amazon Sales and Operations Planning (S&OP) team seeks a Senior Research Scientist to join our team. Scientists in S&OP develop new algorithms and models to improve the way we plan inventory flows in our complex networks WW. Improvements drive down down supply chain costs and enables better selection and availability for customers.Working collaboratively with Engineers, PMTs, PMs and business partners across groups, you will develop solutions to complex problems, such as designing the next generation of algorithms to drive the Supply Chain. As a Research Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers. Within S&OP, our Science community values teamwork, supports continued learning, and recognizes the need to take risks and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale. Your work can be part of Amazon production system and result in concrete business impact.Responsibilities:· Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve plan accuracy· Collaborate with product managers and engineering teams to design and implement software solutions for Supply Chain problems· Contribute to progress of the Amazon and broader research communities by producing publicationsAmazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Applied Science Manager
US, NY, New York
Amazon Web Services is looking for experienced Applied Science Managers to join the Security Analytics and AI ResearchTeam within AWS Security Services. You would be entrusted with researching and developing state-of-the-art data mining and machine learning algorithms for various AWS security services, such as GuardDuty (https://aws.amazon.com/guardduty/) and Macie (https://aws.amazon.com/macie/). On this team, you will help guide and lead team of scientists who invent and implement innovative solutions for never-before-solved problems. This is not solely a management role, you will be directly contributing to the research and development while you lead. If you have passion for security and experience with managing scientists, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Key Responsibilities:· Lead scientists and engineers on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems.· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.· Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.· Report results in a scientifically rigorous way.· Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.
Sr. Research Scientist, Music
US, WA, Seattle
As a Sr. Research Scientist in Music, you'll discover insights that drive marketing, content and product strategy for our Amazon Music streaming service. You will have the opportunity to work with a huge and rapidly growing data set generated by mobile, desktop and home music streaming application usage interactions and music consumption behaviors.Major responsibilities include:Translate / Interpret· Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact.Measure / Quantify / Expand· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Apply statistical or machine learning knowledge to specific business problems and data.Explore / Enlighten· Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Make Decisions and Recommendations· Build decision-making models and propose solution for the business problem you defined· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.· Utilize code (Python/R/SQL) for data analyzing and modeling algorithmsAmazon MusicImagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.Come innovate with the Amazon Music team!
2021 NLP/Speech Research Internship
PL, Gdansk
Amazon is searching for passionate, talented, and inventive scientists who are currently enrolled in Master's or Doctoral degrees and looking to launch their careers with an industry leader in Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU). Do you have a strong machine learning background and want to help build new speech and language technology? Our mission is to push the boundaries in ASR, NLU, and Audio Signal Processing, in order to provide the best possible experience for our customers.As a speech and language scientist, your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will work side-by-side with global experts in speech and language to solve challenging groundbreaking research problems on production scale data.We are hiring in all areas of spoken language understanding: ASR, NLP, NLU, text-to-speech (TTS), and Dialog Management. Amazon has multiple positions available for Speech Scientists across Poland. We are currently hiring in Gdansk.
2021 NLP/Speech Research Internship
DE, BE, Berlin
Amazon is searching for passionate, talented, and inventive scientists who are currently enrolled in Master's or Doctoral degrees and looking to launch their careers with an industry leader in Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU). Do you have a strong machine learning background and want to help build new speech and language technology? Our mission is to push the boundaries in ASR, NLU, and Audio Signal Processing, in order to provide the best possible experience for our customers.As a speech and language scientist, your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will work side-by-side with global experts in speech and language to solve challenging groundbreaking research problems on production scale data.We are hiring in all areas of spoken language understanding: ASR, NLP, NLU, text-to-speech (TTS), and Dialog Management. Amazon has multiple positions available for Speech Scientists across the Germany. We are currently hiring in Berlin and Aachen.We are currently hiring for multiple teams including:• Alexa Domains• Customer Service• Amazon Search
Applied Machine Learning Scientist, Retail Pricing
US, WA, Seattle
Retail Pricing Science is a centralized machine learning team on a strategic mission to develop models, solutions, and platforms that drive improvements to both the competitiveness and perception of prices for all products sold on Amazon worldwide.We are on the hunt for exceptional Applied Machine Learning Scientists to innovate the ways in which we model prices, predict product demand, and adapt to constantly shifting marketplace dynamics, all while scaling to hundreds of millions of products globally.You will partner with technology and product leaders to understand and translate key requirements, propose appropriate algorithmic solutions, and successfully drive the creation of positive customer and business impact.Major responsibilities· Translate business requests into specific quantitative research questions that can be answered with available data using sound methodologies. Work with data and software engineers to define and capture the required data when not initially available.· Improve upon existing methodologies by developing new models, features, preprocessing and training approaches, and evaluation metrics.· Analyze historical data to support decision making, and identify opportunities for further impact and/or model improvement.· Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
Sr. Research Scientist, AWS Talent and Development
US, WA, Seattle
Are you passionate about conducting research to drive real behavioral change and inform front line managers and leaders in making more effective decisions? Would you love to see your research in practice, impacting Amazonians globally and improving the employee experience? If so, you should consider joining the Amazon Web Services (AWS) Organizational Effectiveness and Science team.AWS is a dynamic, growing business unit within Amazon.com. Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. Today, AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers millions of active monthly customers from start-ups to multi-national corporations to governments.In this role, you will lead the research strategy to evaluate, diagnose, understand, and surface drivers and moderators for key, global research streams. These include (but are not limited to) productivity, innovation, decision-making, and Amazon culture. You will dive deep to understand what research should be conducted, develop hypotheses that can be tested, and use both quantitative and qualitative research to deliver actionable insights to AWS leaders. For example, a recent research project has looked at how Amazon’s organizational culture spreads throughout the organization by looking at employee-, team-, department-, and country-level characteristics.The ideal candidate must be self-driven, possess a high degree of ownership, have strong business acumen, excellent communication skills, planning/project management skills, and thrive working in a fast-paced environment. This role requires dealing with a high level of ambiguity and feeling comfortable operating in a space with little direction for solving hard, complex problems. Candidates should be comfortable with nested modeling to assess the impact that variables at the team- and organizational-level has on individual-level outcomes. Experience with applying machine learning to develop classification models as well as forecasting models is a plus, but not essential. There is no opportunity in this role to outsource work to others, so candidates must be comfortable taking on a several activities (i.e., identifying data sources, attaining data via SQL, shaping and analyzing the data, and writing up and communicating the results).The successful candidate will also have a demonstrated track record of:· Knowing Your Customers. Understand their priorities, what they are saying, and more importantly, what they aren’t. Deliver and drive value for them.· Innovation. Appreciate what exists, identify why it works. Then rebuild it or build something totally different that derives even MORE value and a better customer experience.· Judgment. Take different perspectives and business needs, develop a solution that works, move the ball forward. Be able to support your opinions with sound reasoning grounded in the business.· Systems Thinker. Understand all the connections and integrations points through the entire talent management lifecycle.· Thinking big. How do we build it bigger, better, faster? What aren’t we thinking of?· Research driven. We seek to be the most scientific HR organization in the world. We form hypotheses about the best talent management techniques and then set out to prove or disprove them with experiments and careful data collection.· Prioritization. There will be a constant flow of work, both tactical and strategic. Determine what gets done first and why, while managing a plan for what to do with everything else.· Building relationships. Partner with AWS HR COE teams, HR Business Partners, Business Leaders, and corporate COE teams. Share best practices, partner on solutions, and move the organizations forward together.· Consulting. Utilize past experience, deep knowledge of processes and policies, and knowing what’s going on across our organization to create custom solutions and localize as needed.· Communicating. Share your ideas, listen to others, follow-up, and follow-up again. Use the language of the business and avoid “consultant speak”.· Resourcefulness. If you don’t know it, that’s ok. But you should know where to go for the answer or how to find out.· Bias for Action and dealing with ambiguity. Sometimes it is not clear how we are going to get there. Can you help carve a path? How fast can you do it? What are the tradeoffs? Take risks and be willing to try new things, fail fast and iterate.KEY RESPONSIBILITIES:· Manage full life cycle of large-scale research programs (i.e., develop strategy, gather requirements, manage, and execute).· Conduct experiments, analytics, and compute behavioral process models for a deep dive understanding of systemic and individual level drivers; combine quantitative and qualitative data to inform research.· Conduct organizational analysis to uncover talent and org effectiveness insights and build talent and organizational effectiveness solutions (both scrappy or long-term) and mechanisms with the objective to help the business increase talent leverage and improve organizational speed and execution.· Partner closely with our Analytics, Employee Survey (“Connections”), and Diversity and Inclusion teams to identify opportunities for integration points and address specific talent needs leveraging talent data and themes.· Partner with AWS Analytics team to automate organizational health reporting and innovative tools to uncover organizational insights to drive strategic talent and organizational discussions.· Measure and assess the impact of tools and resources introduced to the organization. Continually evaluate solutions for quality, business impact, scalability and sustainability. Conduct post launch evaluations to understand successes and improvement opportunities while establishing methods for sustained adoption.· Evaluate research initiatives to provide bottom line value, ROI, and incremental improvements over timeIf you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.
Follow Us
Amazon.com | Conditions of Use | Privacy | © 1996-2020 Amazon.com, Inc. or its affiliates