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Laboratory Automation Engineer
US, WA, Seattle
We are a team of doers working passionately to apply cutting-edge advances in diagnostics technology to solve real-world problems. As a Senior Immunoassay Scientist, you will work with a unique and gifted team developing exciting medical diagnostic products 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.Inclusive Team Culture:Here at Amazon, 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 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.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.The Laboratory Automation Engineer should be someone who can help us deploy automation solutions for our diagnostics assays. This position will work within a team of scientists and engineers to build scalable, robust, automated processes to deploy in both R&D and regulated production environments. A successful candidate will be able to juggle technical, security, regulatory, and often deployment-site-specific requirements.A day in the lifeAbout the hiring groupJob responsibilities* Develop integrated work-cells to automate diagnostic assays using both commercial and custom lab robotics.* Perform research, development, verification and validation testing per project needs.* Support design transfer and deployment of automation solutions across multiple sites which meet product requirements and are fully integrated with clinical laboratory workflows.* Train laboratory personnel and site engineering teams on the use of automated systems.* Collaborate with cross-functional teams to ensure all development activities are conducted in adherence to applicable national/international regulations, guidelines, company policies, SOPs, and industry standards.* Monitor and evaluate new and emerging technologies in laboratory automation systems.
Data Scientist - AWS Infrastructure
US, VA, Arlington
Job summaryThis role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs.The AWS Infrastructure Data Center Planning and Delivery (DCPD) Data Science team owns supply chain management activities at a global scale.We consolidate usage and supply chain health data and forecasts at a variety of horizons to ensure that we have the right strategic lens associated with each decision we make.We identify gaps to ensure that the AWS business is able to support any and all customers who want to capitalize on the scalability, flexibility, and cost-efficiency of AWS. Our actions and decisions decide the where, how, and what will make it into each of our data centers and we need you to help us to make those decisions and clearly explain the why.The Business Insights and Optimization (BIO) team owns data science, engineering, and business intelligence solutions feeding this team.We identify gaps in our capacity planning and delivery mechanisms and design/build systems which will fix those gaps.We are end to end data product owners and the analysis, models we produce drives billions of dollars of decisions annually.Data Scientists on this team have end to end range and capabilities.They work directly with business owners to understand how they use data to drive their business.They design modeling frameworks to dive deep into these raw sources of information to get the most out of the data they have.They work directly with data engineers to build automated pipelines and production scale information systems and models.They build automated tools which will allow their results to be shared with the business at scale.They align with business owners to continuously track their work to ensure maximum impact from their projects.They monitor performance of their work to evaluate whether improvements are needed after tracking has started in production.
Data Scientist - AWS Infrastructure
US, VA, Arlington
Job summaryThis role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs.The AWS Infrastructure Data Center Planning and Delivery (DCPD) Data Science team owns supply chain management activities at a global scale.We consolidate usage and supply chain health data and forecasts at a variety of horizons to ensure that we have the right strategic lens associated with each decision we make.We identify gaps to ensure that the AWS business is able to support any and all customers who want to capitalize on the scalability, flexibility, and cost-efficiency of AWS. Our actions and decisions decide the where, how, and what will make it into each of our data centers and we need you to help us to make those decisions and clearly explain the why.The Business Insights and Optimization (BIO) team owns data science, engineering, and business intelligence solutions feeding this team.We identify gaps in our capacity planning and delivery mechanisms and design/build systems which will fix those gaps.We are end to end data product owners and the analysis, models we produce drives billions of dollars of decisions annually.Data Scientists on this team have end to end range and capabilities.They work directly with business owners to understand how they use data to drive their business.They design modeling frameworks to dive deep into these raw sources of information to get the most out of the data they have.They work directly with data engineers to build automated pipelines and production scale information systems and models.They build automated tools which will allow their results to be shared with the business at scale.They align with business owners to continuously track their work to ensure maximum impact from their projects.They monitor performance of their work to evaluate whether improvements are needed after tracking has started in production.
Research Scientist
US, WA, Seattle
Job summaryWe are a team of doers working passionately to apply cutting-edge advances in technology to solve real-world problems. As a Research Scientist, you will work with a unique and gifted team developing exciting products for consumers 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.Here at Amazon, 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 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.Work/life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Applied Scientist
US, NY, New York
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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 Response Prediction team builds machine-learning models and infrastructure to support the Sponsored Products Ads business. Through precise estimation of shoppers' response to ads (e.g. clicks or product purchases), this team helps deliver the most relevant ads experience to shoppers, improves advertisers' ROI, and optimizes Amazon's long-term monetization. Additionally, this team builds and operates one of the largest ML workflows in WW Advertising, serving Search and Detail Pages. This is also owns the horizontal ML infrastructure to support various ML use cases - from offline ML pipelines to online model inferencing and model management servicesAs a Applied Scientist on this team, you will:· Build end-to-end machine learning solutions; build ML models and perform data analysis to deliver scalable solutions to business problems.· Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements to productionize the ML models you build.· Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new innovate machine learning approaches.Why you will love this opportunity: Amazon is investing 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
Data Scientist
US, NY, New York
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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!As a Data Scientist on this team, you will:· Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data· Apply statistical and machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you define.· 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.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, 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.· Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon is investing 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
Data Scientist - AWS Infrastructure
US, VA, Arlington
This role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs.The AWS Infrastructure Data Center Planning and Delivery (DCPD) Data Science team owns supply chain management activities at a global scale.We consolidate usage and supply chain health data and forecasts at a variety of horizons to ensure that we have the right strategic lens associated with each decision we make.We identify gaps to ensure that the AWS business is able to support any and all customers who want to capitalize on the scalability, flexibility, and cost-efficiency of AWS. Our actions and decisions decide the where, how, and what will make it into each of our data centers and we need you to help us to make those decisions and clearly explain the why.The Business Insights and Optimization (BIO) team owns data science, engineering, and business intelligence solutions feeding this team.We identify gaps in our capacity planning and delivery mechanisms and design/build systems which will fix those gaps.We are end to end data product owners and the analysis, models we produce drives billions of dollars of decisions annually.Data Scientists on this team have end to end range and capabilities.They work directly with business owners to understand how they use data to drive their business.They design modeling frameworks to dive deep into these raw sources of information to get the most out of the data they have.They work directly with data engineers to build automated pipelines and production scale information systems and models.They build automated tools which will allow their results to be shared with the business at scale.They align with business owners to continuously track their work to ensure maximum impact from their projects.They monitor performance of their work to evaluate whether improvements are needed after tracking has started in production.
Applied Scientist II
IN, KA, Bangalore
Job summaryAmazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Moderation and Relevance System (MARS) team, based in Bangalore, is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages.In this role, you will build and develop ML models to address content intelligence problems, build advanced algorithms in detecting and generating content. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. You will propose hypotheses, validate these offline and run A/B tests to validate them online. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day.
Senior Data Scientist
US, WA, Seattle
Amazon 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 are strategically important to our businesses driving 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 Moderation and Relevance System (MARS) team is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages.As a Senior Data Scientist on this team you will:· Lead 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.
Applied Scientist
US, CA, Santa Monica
Amazon 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 are strategically important to our businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Scientist on this team, you will:· Build machine learning models and perform data analysis to deliver scalable solutions to business problems.· Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.· Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.· Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new predictive learning approaches for the sponsored products business.· Write production code to bring models into production.Why you will love this opportunity: Amazon is investing 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
Senior Applied Scientist
US, CA, Santa Monica
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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!As a Senior Applied Scientist on this team, you will:· Be the technical leader in Machine Learning; lead efforts within this team and across other teams.· Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.· Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.· Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.· Run A/B experiments, gather data, and perform statistical analysis.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new and innovative machine learning approaches.· Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing 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
Applied Science Manager
US, CA, Santa Monica
Amazon 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 are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Science Manager in Machine Learning, you will:· Directly manage and lead a team of manager applied scientists and software engineers (distributed across the USA) to deliver end-to-end machine- earning solutions to production.· Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.· Develop science and engineering 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 within and across the organization.Why you will love this opportunity: Amazon is investing 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
Data Scientist
US, CA, Santa Monica
Amazon 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 are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As a Data Scientist on this team, you will:· Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.· Apply statistical and machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you define.· 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.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, 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.· Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon is investing 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
Applied Scientist, Video Ads Science
US, WA, Seattle
Job summaryAmazon is investing heavily in building a customer centric, world class advertising business across its many unique audio, video, and display surfaces. We are looking for an Applied Scientist who has a deep passion for building machine-learning solutions in our advertising decision system. In this role, you will be on the cutting edge of developing monetization solutions for Live TV, Connected TV and streaming Audio. These are nascent, high growth areas, where advertising monetization is an important, fully integrated part of the core strategy for each business.Key job responsibilities· Rapidly design, prototype and test machine learning algorithms for optimizing advertising reach, frequency and return on advertising spend· Build systems that extract and process volumes of disparate data using a variety of econometric and machine learning approaches. These systems should be designed to scale with exponential growth in data and run continuously.· Leverage knowledge of advanced software system and algorithm development to build our measurement and optimization engine.· Contribute intellectual property through patent generation.· Functionally decompose complex problems into simple, straight-forward solutions.· Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.A day in the lifeAs an Applied Scientist, you will be tasked with leading innovations in machine learning algorithms to deliver ads across platforms influencing product features and architectural choices for decision making systems. You will need to work with data scientists to invent elegant metrics and associated measurement models, and develop algorithms that help advertisers test and learn the impact of advertising strategies across channels on these metrics while ensuring a great customer experience.
Machine Learning Scientist, Amazon Music Personalization
US, CA, San Francisco
Job summaryHelp us deliver meaningful recommendations, personalized for each of the millions of customer engaging with Amazon Music.The Music Personalization team is responsible for the machine learning models that underly Amazon Music’s recommendations, playlists and stations. We own the development, training and serving of these models. We create personalized recommendation experiences such as You Might Like recommender, New Releases for You recommender and My Discovery Mix playlist.As an Applied Scientist, your work will have a real world impact on the millions of customers using Amazon Music. You will start with formulating product requirements into a scientific problem. You will work closely with engineering to realize your scientific vision.About Amazon 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.Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.Come innovate with the Amazon Music team!
Sr. Data Scientist
US, WA, Seattle
Job summaryJoin us in the evolution of Amazon’s consumer business!The Brand Program and Selling Partner Development organization is the growth and development engine for our Store. Our business grows when our Selling Partners (SPs) businesses’ grow. We aspire to make Amazon the best place for Selling Partners to sell and measure our progress towards this goal through a combination of metrics. We make it easy and predictable for Selling Partners to achieve a great Customer Experience. We believe all motivated Selling Partners that provide a great Customer Experience should be able to grow their business on Amazon either guided by unambiguous self-service tools or by a named Account Manager (AM) working from the same set of recommendations and insights. By ensuring that the same set of recommendations and insights are used, we democratize growth, increase predictability and build trust with our SPs. Our front line AMs drive a virtuous flywheel of learning, experimentation, development and scale that accelerates our store and improves the Customer Experience.We have numerous, durable, deep, technical and interesting problems for Sr. Data Scientist to own. We are looking for a Sr. Data Scientist to design and implement deep tools, insights, metrics and models (inclusive of AI) to lead our systems and tools. You will work with a range of strategic functions within the consumer organization. Our broader org. certainly embodies a start-up mentality. You will work closely with data engineers, software developers, product managers to come up with solution end-to-end with cutting edge machine learning and AI technologies.
Applied Scientist, AWS AI
US, WA, Seattle
Job summaryAmazon AI is looking for world class scientists to join its AI Lab. This group is entrusted with developing core machine learning algorithms for AWS. As a part of the AI Lab you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore novel solutions to new problems at scale. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Inclusive Team CultureHere 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 host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Key job responsibilitiesThe main focus of a scientist on the team is to use and develop cutting edge science to build new features that will delight our customers. Scientists own their features from research to implementation and production.A day in the lifeScientists works closely with our partners in engineering and product as well as directly with customers. They write production quality code to implement new features. Scientists produce customer-obsessed research to drive the development of new features which we publish in top-tier conferences.About the teamWe are a science team focusing on anomaly detection and related fields. We work closely with other science teams in forecasting, recommender systems, and causality. We deliver state-of-the-art ML solutions for our customers and publish our research in top-tier conferences and journals.
Applied Science Manager, Fashion Innovation
US, CA, Santa Monica
Job summaryAre you passionate about building systems that process massive amounts of data? Are you excited by developing and productizing machine learning, deep learning and computer vision algorithms on the edge and/or on the cloud? Do you enjoy working with a huge diversity of engineers, scientists, and user-experience researchers? If so, you have found the right match!The Fashion Innovation tech team at Amazon is working to redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning. We’re looking for a thought leader and manager to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will manage a team of talented individuals, innovate in a start-up mode, and partner with business teams to deliver customer experiences that disrupt status quo.The ideal candidate is a strong, creative and highly-motivated individual with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You manage a team doing independent research to develop non-trivial Machine learning solutions. You will serve as a technical lead on the team and mentor scientists and engineers. You will also actively contribute to Amazon's Intellectual Property through patents and/or external publications.Key job responsibilities· Lead complex projects that design and build computer vision and deep neural network models to solve a customer facing usecase in fashion space.· Collaborate with product managers, program managers, UX researchers/designers, and engineering teams to transform the apparel shopping experience for Amazon customers.· Perform hands-on data analysis, build machine-learning models and communicate the impact to senior management.· Drive continued scientific innovation as a thought leader in the team.· Lead and mentor Applied Scientists and Engineers in the team.A day in the lifeYou will build and lead a diverse team of Applied Scientists and Software development engineers to solve a variety of technical challenges. You will own the technology roadmap that will drive future products and features that directly affect our growth in this critical space. You will partner with Product Managers, UX designers, and Engineering leaders on the development and execution of a technical roadmap that includes Machine Learning (ML), Computer Vision (CV), 3D visualization, and other emerging technologies. You'll interact regularly with senior leadership as you bring your vision to life.About the teamThe Fashion Innovation tech team at Amazon is working to redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning.
Data Scientist, Employee Experience
US, WA, Seattle
Job summaryAre you passionate about making real-world impact on the lives of over one million Amazon employees? Do you want to use science and data-driven methods to build Earth’s best employer and safest place to work? If your answers to these questions are “yes”, then come join the Employee Experience (EX) science team within People Experience and Technology (PXT) at Amazon. Through science, research, and technology, the team’s mission is to improve the employee experience for all Amazonians.As a Data Scientist on the EX science team, you will lead key science initiatives and deliver insights that enable Amazon to create a great employee experience. In this role, you will apply advanced analysis techniques and statistical concepts to draw insights from datasets, create intuitive data visualizations, and build scalable machine learning models. You will work closely with other scientists (data, research, and applied scientists), business intelligence engineers, and product managers to obtain relevant datasets and prototype predictive analytic models. You will team up with data engineers and software development engineers to implement data pipeline to productionize your models and review key results with business leaders and stakeholders.We are looking for someone who can work with ambiguous business problems and navigate complex and dynamic business environments. In this role, you will develop, execute, and deliver on detailed technical roadmap that influences across organizations. The successful candidate is able to make complex trade-offs between technical and business requirements and has experience striking a balance between scientific validity and business practicality in their work. They also have the ability to effectively communicate technical results to a business audience in order to influence key leadership decisions.Key job responsibilities• Create innovative, sophisticated analytic models to address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability).• Apply machine learning techniques and statistical methods to automatically identify trends, patterns and frictions in the employee experience.• Interview stakeholders to incorporate business requirements and inputs from research, science, product, and engineering partners and translate them into concrete requirements for data science projects.• Define and conduct experiments and communicate insights and recommendations to product, engineering, and business teams.• Work with data engineers and software development engineers to deploy models and experiments to production.• A clear passion for making a positive impact on employees' lives through your work.• Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches.• Identify and recommend opportunities to automate systems, tools, and processes.• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes.
Senior Economist, EU Economics
GB, London
The EU Economics team is a central science team working across a variety of topics in the EU Retail business and beyond. We work closely EU business leaders to drive change at Amazon.We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with EU- and US-based interdisciplinary teams.We are looking for a Senior Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale.If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.Key job responsibilities· Provide data-driven guidance and recommendations on strategic questions facing the EU Retail leadership· Scope, design and implement version-zero (V0) models and experiments to kickstart new initiatives, thinking, and drive system-level changes across Amazon· Build a long-term research agenda to understand, break down, and tackle the most stubborn and ambiguous business challenges· Influence business leaders and work closely with other scientists at Amazon to deliver measurable progress and change
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