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Advance the state of the art in customer-obsessed science.
Jared Wilber is seen standing on a beach wearing an Amazon Science t-shirt
Our goals for Machine Learning University are twofold: the first is to teach machine learning to people who have no experience ... the second is to help people who already have some experience and want to sharpen their skills.
Jared Wilber, data scientist

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1,285 results found
  • US, NY, New York
    Job ID: 2256477
    (Updated 0 days ago)
    Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!The Advertising Identity Program (AIP) identifies traffic across all devices, websites and apps. We maintain identity graphs that enable us to identify custom audiences and/or Amazon users/sessions across devices and browsers. We enable use cases for Amazon DSP like targeting, audience matching, re-marketing, attribution, frequency capping, traffic quality, regulatory and privacy compliance. As a Data Scientist on this team you will: Develop Data Science solutions from beginning to end.Deliver with independence on challenging large-scale problems with complexity and ambiguity.Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.Build Machine Learning and statistical models to solve specific business problems.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 optimal decision making.Apply statistical and machine learning knowledge to specific business problems and data.Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify 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.Build decision-making models and propose effective solutions for the business problems you define.Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video ~ https://youtu.be/zD_6Lzw8raE A day in the lifeYou will work collaboratively both within and outside of the Advertising team. As a Software Engineer, you would spend most of your time architecting, designing and coding and the rest in collaboration and discussion. Since we are now working remotely, we also like to have fun by taking time to celebrate each other and to spend time with happy hours. About the teamJoining this team, you’ll experience the benefits of working in a dynamic, fast-paced environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading Internet companies. We provide a highly customer-centric, team-oriented environment.AdTech Identity Program (AIP) team is spearheading innovation for the existential challenge in AdTech today: The need for reliably establishing customer identity in a IDless world without 3P cookies or Device identifiers.
  • CA, BC, Vancouver
    Job ID: 2256319
    (Updated 0 days ago)
    Job summary Amazon Brand Protection organization focuses on building trust with all brands by accurately representing and completely protecting their brands on Amazon. We strive to be the most trusted thought leader in the space and ensure that public perception mirrors the trustworthy experience we deliver. The Brand Protection machine learning (ML) team is responsible to provide data driven long term strategies and solutions. The team is responsible to develop the state of art ML algorithms to ensure each product is brand authentic and to ensure no abuse or infringements on any brands. The ML team faces the challenges to work with huge amount of structured and unstructured data including images and product descriptions and to develop ML solutions that can scale to protect millions of brands and billions of products worldwide. The team also faces the challenge to fast update our ML systems to stay ahead of bad actors who constantly circumvent our algorithms. If you are excited at these responsibilities and challenges and if you love data and machine learning, we have a position for you. We are looking for a strong manager to manage the ML science team in Vancouver. As the manager, you will hire and develop ML talents. You will design long terms plans and define SMART goals. You will build roadmaps to achieve team’s vision and goals. You will lead the ML directions. You will lead roadmap and plan executions. You will be able to deep dive and guide your team both in directions and in details. You understand ML cycles and advocate ML best practices. You will keep abreast with new ML technologies. Major responsibilities:Work with business/tech teams to identify opportunities, design solution, implement and monitor ML models.Understand business challenges by analyzing data and customer feedbackGuide team members on model building strategies and model experiment, implementation, measurement and continuous improvementBuild and manage team roadmapsCreate long term plans to address complicated business problems at scale using MLDeep dive to provide business insightsCreate business and analytics reports and present to the senior management teamsLead research and implement novel machine learning and statistical approaches
  • US, WA, Bellevue
    Job ID: 2256616
    (Updated 0 days ago)
    Job summaryAre you passionate about leveraging your data science and machine learning skills to make an impact at scale? Do you enjoy developing innovative algorithms, optimization and predictive models to generate recommendations that will be used by automated systems to drive hundreds of millions of impact on Amazon Retail's cash flow? If these questions get you excited, we definitely want to hear from you. Strategic Sourcing team, as part of Amazon Supply Chain Optimization and Technology organization, is seeking an experienced and motivated Data Science leader. Strategic Sourcing team owns systems that are designed to: 1) reduce end to end costs from inbound supply chain and (2) improve vendor performance. Some of the key decisions that these systems make: when and if we should source a product (e.g. is the product obsolete or temporarily unavailable); from which vendor and at what cost we should source an ASIN; what is the ideal supply chain setup (e.g. Pallet, Truckload, Vendor Initiated PO, etc.) for an ASIN/vendor; when should vendor ship/deliver inventory to Amazon FCs; which inbound lanes – vendor warehouse to Amazon FC – should have pre-allocated transportation with how many shipments; when should we penalize vendors for defects/infractions through chargebacks and by how much. Together these set of decisions and systems work together to ensure Amazon’s inventory needs are met on time and in the most efficient way. We develop sophisticated algorithms that involve learning from large amounts of data from diverse sources such Vendors, Transportation carriers, Amazon warehouses etc. Key job responsibilitiesAs the Data Science Senior Manager on this team, you will: • Lead of team of scientists on solving science problems with a high degree of complexity and ambiguity • Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects • Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management • Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization • Analyze historical data to identify trends and support optimal decision making • Apply statistical and machine learning knowledge to specific business problems and data • Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed
  • (Updated 0 days ago)
    Job summaryThe 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 Amazons marketing teams’ decisions and thus how Amazon customers see, use, and value their experience.CMO (Campaign measurement and Optimization) team within CBA org'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 global insights that can power marketing best practices and tenets globally.Are you passionate about Deep Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest big data and machine learning stacks at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on many billions of events in near real time.You'll be one of the lead scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies for omni-channel campaign measurement. Working with a cross-functional team of product managers, program managers, economists and engineers you will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand the performance of their omni-channel campaigns and optimize their spends.Some things you'll do in this role:Lead full life-cycle Data Science solutions from beginning to end.Deliver with independence on challenging large-scale problems with complexity and ambiguity.Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.Build Machine Learning and statistical models to solve specific business problems.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 optimal decision making.Apply statistical and machine learning knowledge to specific business problems and data.Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify 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.Build decision-making models and propose effective solutions for the business problems you define.Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Impact and Career Growth: You will invent solutions that can make billion dollar impact for Amazon as an advertiser. Define a long-term science vision for our business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.This position is based in Irvine, San Francisco, Sunnyvale, San Jose or Seattle. Key job responsibilitiesDive deep into petabyte-scale data to drive insights, identify machine-learning modeling gaps and business opportunitiesEstablish scalable, efficient, automated processes for large-scale data analysisRun regular A/B experiments, gather data, and perform statistical analysisWork with scientists, engineers and product partners to develop new machine learning approaches, and monetization strategiesConduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication
  • (Updated 0 days ago)
    Job summaryPrime Video is changing the way millions of customers interact with video content. Our team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals. Amazon believes so deeply in the mission of Video that we've launched our own studio to create original and exclusive content.Every day we face the challenges of a fast-paced market and expanding technology set. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.We’re looking for a Senior Data Scientist to join the Prime Video Global Video Supply Chain team. Data Scientist help us build the future of advanced analytics across the Prime Video Supply Chain.You will partner with Business Intelligence Engineers, Data Engineers, and Software Engineering teams to drive experimentation, forward-looking insights, predictive modeling, and machine learning algorithms. You will build best-in-class forecasting solutions at scale.If you have extensive experience with algorithmic demand forecasting, defect detection and algorithm development, think strategically and analytically about business, product, and technical challenges, if you can contribute to the development of current and future technical roadmaps and can build and communicate compelling value propositions, you will be successful in this role.The position can be based out of markets with a Prime Video office:· Seattle, Washington· Culver City, California· Arlington, Virginia· Austin, Texas· New York, New YorkKey job responsibilitiesImplement code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems.Work with software engineering teams to productionize algorithms where appropriate.Lead the development of the scientific roadmap, guide and develop junior engineers in designing and implementing scientific solutions.Directly contribute to the design and development of scaled forecasting solutions via machine learning based demand forecasting techniques.Translate analytic insights into concrete, actionable recommendations for business or product improvement.Develop and present these as papers to senior stakeholders with ranging levels of technical knowledge.Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building to deliver accurate and effective business insights.Innovate by researching, learning, and adapting new modeling techniques and procedures to existing business problems.Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, predictive modeling, and stakeholder engagement.About the teamGlobal Video Supply Chain (GVSC). Prime Video’s Global Video Supply Chain group owns the largest, richest catalog of video content in the world, available to customers as early as possible. We enable Prime Video customers all around the world to discover, purchase, and stream any title in any language anywhere.
  • US, WA, Bellevue
    Job ID: 2256200
    (Updated 0 days ago)
    Job summaryAre you seeking an environment where you can drive innovation? Do you want to apply inference, advanced statistical modeling and techniques to solve world's most challenging problems in ? Do you want to play a crucial role in the future of Amazon's Retail business? Do you want to be a part of a journey that develops a new technology from scratch for answering critical business question in Amazon Retail?Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize acquisition, enable a number of purchase options, ensure great , store products so they are available for fast delivery, and minimize package frustration. The Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it.The IPC Lab team within SCOT SimEx is responsible for designing and executing the inference and experimentation systems that measure the impact of SCOT initiatives. We are looking for research scientists to drive innovation in SCOT by developing a new scientific approach and pushing our system further upstream in the innovation process. Key responsibilities of a Research Scientist in IPC Lab include:Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovationWorking with technical and non-technical customers to design experiments and communicate resultsCollaborating with our dedicated software team to create production implementations for large-scale data analysisDeveloping an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our businessPresenting research results to our internal research communityLeading training and informational sessions on our science and capabilitiesYour contributions will be seen and recognized broadly within Amazon, contributing to the Amazon research corpus and patent portfolio.To help describe some of our challenges, we created a short video about at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
  • US, NY, New York
    Job ID: 2256083
    (Updated 0 days ago)
    Job summary About Twitch: Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog. About the Role:Data is central to Twitch’s decision-making process, and analysts are an essential component to promote data-driven decision-making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with your team, shaping the way product performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high-quality, high velocity decisions for your team.You are an experienced data scientist who will assist all members of the Twitch Ad Sales Organization as part of the Revenue Analytics team. The Revenue Analytics team drives analytics for all parts of the business (Client Success, Finance, Ad Operations, Planning, Pricing and Yield, and Sales Operations). You will report to the Manager of Revenue Analytics and will provide support on all things data in the company, reduce lead times on data requests, help normalize data to ensure usability, and to uncover any insights during the process.You Will:Support and empower the entire Twitch Ad Sales organization by providing accurate ad hoc and automated insights, reporting, and dashboards, from numerous different data sourcesInform strategies and prioritization through insights derived from in-depth data analysisHelp establish analytical framework for the team: partner with product and engineering teams to define measurement approaches, quantify and evaluate success, develop KPIs and guide tracking efforts for ongoing measurement and reportingTackle complex and ambiguous analysis projects: provide clarity and leverage statistical and analytical models to answer complicated questionsRun regular tests and discrepancy checks against all data sets to ensure continuity in accuracy and quality of data
  • US, WA, Seattle
    Job ID: 2256012
    (Updated 0 days ago)
    Job summaryAre you interested in a fast-paced, start-up job culture with the resources of one of the world’s premier technology companies behind you? Are you excited to using your technical skills to address a wide variety of problems in one of Amazon’s newest and most rapidly growing product areas? Do you enjoy engaging and partnering with cross-functional teams including product managers, SDMs, financial professionals, economists, data scientists, and more? If so, the Buy with Prime team could be the next step in your career.As a data scientist within the Buy with Prime product team, you will be asked to build data-focused solutions to questions that span our entire portfolio of products. Our products touch many areas of Amazon, which means you need the desire to adapt and answer a wide array of questions. Your experience will be directly relevant for measuring the success of our product for our customers and inform strategic decisions on issues such as pricing. These impact assessments will inform the design of future products as well as optimizations to existing products. A successful candidate will be a problem solver who enjoys diving into data, is excited by new modeling challenges, and possesses strong communication skills to effectively interface with business stakeholders.Key job responsibilities* Implement statistical methods to solve specific business problems utilizing code (Python, R, Matlab, etc.).* Directly contribute to the design and development of the team’s products.* Improve upon existing methodologies by developing new data sources, inventing enhancements of models drawn from across Amazon, and fine-tune model parameters.* Collaborate with product management, software engineering, research science, data engineering, and business leaders to define product requirements, provide analytical support, and communicate feedback.* Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations.
  • US, CA, Santa Clara
    Job ID: 2255082
    (Updated 1 days ago)
    Job summaryAmazon’s Middle Mile Planning Research and Optimization Science group (mmPROS) is looking for a Senior Applied Scientist specializing in design and evaluation of algorithms for predictive modeling and optimization applied to large-scale transportation planning systems. This includes the development and implementation of pricing & yield management (PYM) solutions using stochastic concepts to improve transportation planning solutions. Middle Mile Air and Ground transportation represents one of the fastest growing logistics areas within Amazon. Amazon Fulfillment Services transports millions of packages via air and ground and continues to grow year over year. The scale of this operation challenges Amazon to design, build and operate robust transportation networks that minimize the overall operational cost while meeting all customer deadlines. The Middle Mile Planning Research and Optimization Science group is charged with developing an evolving suite of decision support and optimization tools to facilitate the design of efficient air and ground transport networks, optimize the flow of packages within the network to efficiently align network capacity and shipment demand, set prices, and effectively utilize scarce resources, such as aircraft and trucks. Time horizons for these tools vary from years and months for long-term planning to hours and minutes for near-term operational decision making and disruption recovery. These tools rely heavily on mathematical optimization, stochastic simulation, meta-heuristic and machine learning techniques. In addition, Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.As a Senior Applied Scientist responsible for middle mile transportation, you will be working closely with different teams including business leaders and engineers to design and build scalable products operating across multiple transportation modes. You will create experiments and prototype implementations of new learning algorithms and prediction techniques. You will have exposure to top level leadership to present findings of your research. You will also work closely with other scientists and also engineers to implement your models within our production system. You will implement solutions that are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility, and make decisions that affect the way we build and integrate algorithms across our product portfolio.
  • (Updated 1 days ago)
    Job summaryAmazon Prime Video is changing the way millions of customers enjoy digital content. Prime Video delivers premium content to customers through purchase and rental of movies and TV shows, unlimited on-demand streaming through Amazon Prime subscriptions, add-on channels like Showtime and HBO, and live concerts and sporting events like NFL Thursday Night Football. In total, Prime Video offers nearly 200,000 titles and is available across a wide variety of platforms, including PCs and Macs, Android and iOS mobile devices, Fire Tablets and Fire TV, Smart TVs, game consoles, Blu-ray players, set-top-boxes, and video-enabled Alexa devices. Amazon believes so strongly in the future of video that we've launched our own Amazon Studios to produce original movies and TV shows, many of which have already earned critical acclaim and top awards, including Oscars, Emmys and Golden Globes.The Global Consumer Engagement team within Amazon Prime Video builds product and technology solutions that drive customer activation and engagement across all our supported devices and global footprint. We obsess over finding effective, programmatic and scalable ways to reach customers via a broad portfolio of both in-app and out-of-app experiences. We would love to have you join us to build models that can classify and detect content available on Prime Video. We need you to analyze the video, audio and textual signal streams and improve state-of-art solutions while being scalable to Amazon size data. We need to solve problems across many cultures and languages, working alongside an operations team generating labels across many languages to help us achieve these goals. Our team consistently strives to innovate, and holds several novel patents and inventions in the motion picture and television industry. We are highly motivated to extend the state of the art.As a member of our team, you will apply your deep knowledge of Computer Vision and Machine Learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on addressing fundamental computer vision models like video understanding and video summarization in addition to building appropriate large scale datasets. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable with digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions.You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels. Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term. You are empowered to bring new technologies and deep learning approaches to your solutions. We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.
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Amazon scientists are working on large-scale technical challenges in a variety of research areas across the globe. Use the pins below to learn more about the customer-obsessed science being conducted at some of our research locations.
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