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CA, BC, Vancouver
Terms of employment: Full time, permanentJob location: 595 Burrard Street, 12th floor Vancouver, BC V7X 1L4Are you interested in the process that generates prices for hundreds of millions of products globally? Would you like to influence those prices to affect the lives of millions of Amazon users? Amazon's Pricing organization needs an experienced economist to join an R&D team that sets the price for products sold by Amazon. This team models, tests, and owns end-to-end business problems directly affecting the profitability of the company and improving value to our customers. The output of this team has a big impact on how Amazon conducts business, and on the bottom line.Pricing economists apply the frontier of economic thinking to pricing, forecasting, program evaluation, and opportunity quantification. You will build elasticity, demand and other economic models using our world class data systems and will apply economic theory to solve business problems in a fast moving environment. Pricing economists at Amazon are expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems performing billions of price evaluations per day. Pricing is creating a new R&D arm in this space offering you the opportunity to directly influence new programs from their inception.The successful candidate for this position will 1) rigorously apply state-of-the-art methods in their field to existing predictive, analytic, and modeling efforts already underway (2) identify new and promising strategy improvements through modeling and testing of novel approaches (3) connect with other economists, research scientists, and business leaders throughout Amazon to ensure Pricing innovations benefit and are benefitted by progress across the company.Work responsibilities· Bring innovative ideas grounded in best practices in your field to bear on a variety of problems in Pricing.· Influence Pricing strategy and direction by providing subject matter expertise in modeling and testing of end-to-end systems.· Recommend mechanisms for evaluating, measuring, and validating the strategies and models you develop.· Make recommendations for adjustments to increase strategy and system value based on model refinements.· Identify areas for continuous improvement and research.Salary $113,200 - $189,200 /yr, commensurate with experience
US, MA, Boston
Data Scientist: Elastic Block Store Data Services (AWS)Come and build the future with us as we change the way customers move and transform their EBS data at never before seen scale.EBS customers frequently need to move or transform their underlying data whether its accelerating volume creation from snapshots using Fast Snapshot Restore, increasing their database storage or changing their volume type through Elastic volumes, or encrypting their volumes using AWS managed keys. Our team creates solutions that enable and simplify EBS customer workflows.Building a High-Performing & Inclusive Team CultureYou should be passionate about working with a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.Work/Life BalanceEBS Data Services values work-life balance. On normal days, our entire team is co-located in the Boston office, but we’re also flexible when people occasionally need to work from home. We generally keep core available hours from 10am to 4pm. Some of the team is available earlier and the rest of us work a little later.Energizing and Interesting Technical ProblemsYou will work in partnership with engineers on the team to build and operate large scale systems that move and transform customer volume data and accelerate access to their data. You’ll be working to provide solutions to both internal and external customers and engage deeply with other teams within EBS, S3, EC2, and many other services. It’s humbling and energizing to provide data movement solutions to customers at AWS scale.Mentorship & Career GrowthWe’re committed to the growth and development of every member of EBS Data Services, and that includes our engineers. You will have the opportunity to contribute to the culture and direction of the entire EBS org and deliver initiatives that will improve the life of all of our teams.EBS Data Services is a growth environment - we’re hiring and scaling rapidly to meet the needs of our customers. You’ll have the opportunity to grow your scope of influence naturally as we scale and work on solutions that impact some of Amazon's largest customers.
US, NY, New York
Amazon Web Services is looking for world class scientists to join the research group within AWS Security Services. This team is entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Macie (https://aws.amazon.com/macie/). On this team, you will invent and implement innovative solutions for never-before-solved problems. If you have a passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Key Responsibilities:· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment· Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services· Report results in a scientifically rigorous way· Interact with security engineers and related domain experts to dive deep into the types of challenges that we need innovative solutions for
US, WA, Seattle
#FoundItOnAmazon is to be an upper funnel browsing experience designed to show customers an endless stream of inspirational products. It is a companion to Amazon's search experience and is meant to drive habitual interaction on Amazon and lead to serendipitous purchases. It is deliberately diverse, visually engaging, and meant to encourage customers to experience the thrill of the hunt. Our vision is for #FoundItOnAmazon to be the first destination for customers to find inspiration and drive customers to visit Amazon more often. #FoundItOnAmazon provides inspiration that converts to purchases, and collects engagement signals (follow, hearts) that can improve the customer’s experience across Amazon.The team is looking for an Applied Scientist to be based in Seattle area. As a key member of the team, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance the customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.An ideal candidate will be an expert in the areas of machine learning and statistics who will have expertise in applying theoretical models in an applied environment. The candidate will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models including transfer learning. Challenges will involve dealing with very large data sets and requirements on throughput.Responsibilities include:· Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems· Use machine learning best practices to ensure a high standard of quality for all of the team deliverables
ES, B, Barcelona
Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers.As part of this team you will focus on ML methods and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services. Current research includes machine learning forecast, online reinforcement learning, and anomaly detection models, among others.We are looking for a Machine Learning Scientist with a strong academic background, and expertise in either of the following:· Graph Neural Networks (GNNs), Temporal Graph Networks (TGNs), and/or Graph Deep Learning (GDL)· Probabilistic Machine LearningAt Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.
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
US, WA, Seattle
Are you excited about driving business growth for millions of sellers through application of Machine Learning and other advanced computer science disciplines? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? We are looking for experienced applied scientists build the next level of intelligence that will help Amazon Marketplace Sellers to succeed and grow their businesses.Amazon Marketplace enables sellers to put their products in front of hundreds of millions of customers and offers sellers the tools and services needed to make e-commerce successful, efficient and simple. Our team is responsible for building the core intelligence, insights, and algorithms that support a broad range of products and features that Amazon Marketplace Sellers depend on. We are tackling large-scale, challenging problems such as helping sellers to prioritize business tasks, and predicting customer demand for new products, by bringing together petabytes of data from diverse sources across Amazon.You should have a proven track-record of delivering solutions using advanced computer science approaches. You will be comfortable using a variety of tools and data sources to answer high-impact business questions that impact millions of customers globally, and be able to break down complex information and insights into clear and concise language and be comfortable presenting your findings to audiences with a broad range of backgrounds.Responsibilities:Develop production software systems utilizing advanced algorithms to solve business problems.Analyze and validate data using data, algorithms, and statistical tools to ensure high data quality and reliable insights.Proactively identify interesting areas for deep dive investigations and future product development.Design and execute experiments, and analyze experimental results in collaboration with Product Managers, Business Analysts, Economists, and other specialists.Partner with data engineering teams across multiple business lines to improve data assets, quality, metrics and insights.Leverage industry best practices to establish repeatable applied science practices, principles & processes.*scijobsAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, WA, Seattle
Are you excited about driving business growth for millions of sellers through application of Machine Learning and other advanced computer science disciplines? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? We are looking for experienced applied scientists build the next level of intelligence that will help Amazon Marketplace Sellers to succeed and grow their businesses.Amazon Marketplace enables sellers to put their products in front of hundreds of millions of customers and offers sellers the tools and services needed to make e-commerce successful, efficient and simple. Our team is responsible for building the core intelligence, insights, and algorithms that support a broad range of products and features that Amazon Marketplace Sellers depend on. We are tackling large-scale, challenging problems such as helping sellers to prioritize business tasks, and predicting customer demand for new products, by bringing together petabytes of data from diverse sources across Amazon.You should have a proven track-record of delivering solutions using advanced computer science approaches. You will be comfortable using a variety of tools and data sources to answer high-impact business questions that impact millions of customers globally, and be able to break down complex information and insights into clear and concise language and be comfortable presenting your findings to audiences with a broad range of backgrounds.Responsibilities:Develop production software systems utilizing advanced algorithms to solve business problems.Analyze and validate data using data, algorithms, and statistical tools to ensure high data quality and reliable insights.Proactively identify interesting areas for deep dive investigations and future product development.Design and execute experiments, and analyze experimental results in collaboration with Product Managers, Business Analysts, Economists, and other specialists.Partner with data engineering teams across multiple business lines to improve data assets, quality, metrics and insights.Leverage industry best practices to establish repeatable applied science practices, principles & processes.*scijobsAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, MA, Cambridge
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCJob Title: Research Scientist ILocation: Cambridge, MAPosition Responsibilities:Participate in the design, development, and evaluation of models and ML (machine learning) technology. Lay the foundation to move from directed interactions to learned behaviors that enable Alexa to proactively take action on behalf of the customer. Interact with various software and business groups to develop an understanding of their business requirements and operational processes. Create computer simulations to support operational decision-making. Identify areas with potential for improvement and work with internal teams to generate requirements to realize improvements. 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. Integrate prototypes into production systems using standard software development tools and methodologies.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
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.
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.
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon Web Services, Inc.Title: Research Scientist IILocation: Seattle, WAPosition Responsibilities:Interact with various software and business groups to develop and understanding of their business requirements and operational processes. Develop predictive models using machine learning and natural language processing methodologies that may be integrated into 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. Implement these models and tools through the use of modeling languages and engineering code in software languages such as Java, C++, C# or C. Gather required data for analysis and mathematical model building by writing ad-hoc scripts and database queries. Perform quantitative, economic, and numerical performance analyses of these systems under uncertainty using statistical and optimization tools. Create computer simulations to support operational decision-making. Identify areas with potential for improvement and work with internal teams to generate requirements to realize improvements. 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. Hand off prototypes and consult to software development engineers responsible for integrating prototypes into production systems.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
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
US, WA, Seattle
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, 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.
US, WA, Seattle
#FoundItOnAmazon is to be an upper funnel browsing experience designed to show customers an endless stream of inspirational products. It is a companion to Amazon's search experience and is meant to drive habitual interaction on Amazon and lead to serendipitous purchases. It is deliberately diverse, visually engaging, and meant to encourage customers to experience the thrill of the hunt. Our vision is for #FoundItOnAmazon to be the first destination for customers to find inspiration and drive customers to visit Amazon more often. #FoundItOnAmazon provides inspiration that converts to purchases, and collects engagement signals (follow, hearts) that can improve the customer’s experience across Amazon.The team is looking for an Applied Scientist to be based in Seattle area. As a key member of the team, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance the customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.An ideal candidate will be an expert in the areas of machine learning and statistics who will have expertise in applying theoretical models in an applied environment. The candidate will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models including transfer learning. Challenges will involve dealing with very large data sets and requirements on throughput.Responsibilities include:· Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems· Use machine learning best practices to ensure a high standard of quality for all of the team deliverables
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.
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
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.
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.