Sr. Business Development Mgr., Global Vendor Management (GVM)

The Global Vendor Management (GVM) Program works with HQ senior leadership from a highly selective group of global Amazon vendors, to support the growth of our mutual business and total relationship success across worldwide Amazon. We are a global strategic business development team, seeking a customer-obsessed individual with excellent business judgement, to build collaborative relationships with vendor executives and Amazon teams across all Amazon countries and organizations (Retail, Advertising, Devices, AWS, Amazon Business, Logistics, and Sustainability). This a highly visible role and your work will directly impact how we evolve and grow Amazon’s global business. The ideal candidate will have: - Demonstrated track record of excellent business judgment in high stakes, ambiguous business contexts - Executive communication skills (written, verbal) and presence - Track record of earning trust with internal and external stakeholders across all levels of an organization - Demonstrated ability to learn new businesses and industries - Prior experience: management consulting, entrepreneurship (starting your own company), investment banking, product or program management, retail vendor management, engineering - Ability to travel internationally (~10%) Your responsibilities will include: - Working closely with Amazon and vendors’ senior leadership to support business objectives - Identifying the most impactful, incremental business opportunities for your vendors across total global Amazon - Working closely with Amazon teams and leadership across all countries and organizations to pursue those opportunities - Understanding opportunities using data, your close internal and external working relationships, and your knowledge of vendors’ global and local businesses - Identifying and gaining alignment on the most logical path to overcome opportunity blockers, by looking around corners and finding practical/creative solutions - Independently authoring documents, emails, and presentations for senior leadershipBASIC QUALIFICATIONS- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units- Experience working in a fast-moving consumer business ...

Sr. Business Intelligence Engineer

Senior Business Intelligence Engineer Come build the future as a Senior Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Senior Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Senior Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: 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. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere 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.Key job responsibilitiesYou will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Sr. Business Intelligence Engineer, AIS Supply Chain - Fixed

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AIS (AWS Infrastructure Services) is looking for a Sr. Business Intelligence Engineer to be responsible for working across many high visible product areas. As a member of the AIS Supply Chain team, you will be at the forefront of this organizational capability to increase our understanding of supply chain risks within our hardware products. The Supply Chain Resiliency team is responsible for identifying risks to avoid disruptions of product delivery by building a framework that anticipates, identifies, and mitigates high priority risks with action plans. As a resiliency BIE, you are a builder at heart on mechanisms, systems and automation. You have a passion for using data in order to drive business actions. Your goal is to improve current data and automation solutions or innovate new and simpler ones to achieve robust risk insights. You have proven experience with information retrieval, data mining, building, cleaning, and training foundational models, data science, Gen AI, ML, and LLM. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. You thrive at analyzing and modeling very large data sets, diving below the surface to identify the root causes rather than high-level trends. This role requires an individual with excellent analytical abilities, critical thinking, and to balance business acumen working with technical teams and systems, non-tech teams, and senior leadership. You are a self-starter comfortable with ambiguity, with strong attention to detail, and knows how to develop a strategy, execute, and measure and deliver outcomes.Key job responsibilities• Apply deep analytics and business intelligence skills to extract meaningful insights and learn from large and complex data sets using AI/ML.• Partner with stakeholders to define priority of BI projects, reporting, FMs, RAG, RLHF.• Lead high impact AI/ML projects. Perform deep-dives to derive actionable insights; Creating models to predict risk actions and improve outcomes and optimize business processes.• Build self-service reporting tools and dashboards• Provide SQL support and manage queries and databases (SQL, Tableau, etc.)• Build various data visualizations to tell the story of business trends, patterns, and outliers that result to meaningful actions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Research industry trends and extract to align resiliency strategies and mechanisms.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Bachelors degree in Computer Science or Engineering, SDE or related technical, or equivalent of 7+ years of related experience.- 7+ years of experience programming to extract, transform and clean large data sets (multi-TB)- 7+ years of experience in scripting for automation (e.g. Python) and advanced SQL skills.- 7+ years of experience with data visualization using Tableau, QuickSight, or similar tools- 7+ years of experience working directly with business stakeholders to translate between data and business needs- 7+ years of experience in HW product management and/or in supply chain and/or end to end product development lifecycle. ...

Sr. Business Intelligence Engineer, Amazon Stores

Senior Business Intelligence Engineer Come build the future as a Senior Business Intelligence Engineer at Amazon, where you will be inspired work-ing along best-in-class inventors and innovators! You will have the opportunity to create meaningful experi-ences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Senior Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Senior Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Cana-da. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: 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 be-tween 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. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere 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.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate tdata into meaningful insights through col-laboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities; build solutions to have maxi-mum scale and self-service ability by stakeholders• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, vali-dation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- 7+ years of professional or military experience- 5+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Proficient in theories, experimental design and statistical a concept for deriving insights form large – scale data analysis- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

Sr. Business Intelligence Engineer, AWS Solutions

The newest business group in AWS, AWS Solutions are built by AWS and AWS Partners to address specific industry, cross-industry, and technology use cases.Our customers are evolving from builders to both builders and buyers.As the AWS customer base expands, we increasingly need to serve customers who prefer to “buy” Solutions in addition to those who prefer to “build.” Given the depth and breadth of offerings (200+ AWS services and features, and thousands of APN offerings), and various ways they can be put together, increasingly customers need prescriptive guidance and automation to reduce the number of decisions they need to make and minimize last-mile development to adopt AWS.As a BI engineer on this team, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with product and business leaders and executives to continuously evolve the analytical portfolio and help the businesses make product strategy decisions. Key job responsibilities• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.• Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.• Conduct ad hoc data analysis and data quality investigations.• Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.• Define and drive team analytical strategy to best support business leaders and executives’ strategic decisions.• Mentor junior engineers on the team with industrial standards and best practices.About the teamUtility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Our 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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- • Bachelor's Degree in Information System, Computer Science, or a related technical field.- • 8+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- • 5+ years of experience with data visualization using Tableau, Quicksight, or similar tools- • 5+ years of experience with data modeling, warehousing and building ETL pipelines ...

Sr. Business Intelligence Engineer, Infra-Finance Business intelligence & Transformations

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a Sr Business Intelligence Engineer to help build a scalable, predictive, and prescriptive business analytics platform that supports the AWS Infrastructure Supply Chain Finance (SCF) organization. You will be part of the Finance Analytics team working with Business Analysts and Data Engineers to achieve our goals.You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. This role requires an individual with excellent analytical abilities, strong knowledge of business intelligence solutions and the ability to work with Finance, quantitative and business teams. You will lead multiple automation and controllership initiatives across the Finance org. You will be primarily using but not limited to AWS solution stacks like Redshift, S3, Glue, Lambda, Data pipeline and reporting tools such as Tableau and Alteryx/KNIME to implement BI solutions.Key job responsibilities Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions. Design and implement metrics dashboards to deepen understanding of cost structures, capital spend, and variances highlighting opportunities for improvement. Collaborate with Finance, Tax, Supply Chain, Procurement, and Engineering to capture requirements and deliver analytics solutions. Develop and implement analytics to continually improve continuity of supply and operational efficiencies. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders. Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users. Interface with Data Engineers, Business Analysts and stakeholders to deliver complete BI solutions. Employ data mining, segmentation, and other analytical techniques to capture important trends in the supply chain, cost, and customer base. Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete reporting solutions.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Knowledge of data warehousing and data modeling ...

Sr. Business Intelligence Engineer, Managed Spend Response

Come and be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and unlocking our potential worldwide.Amazon Business Flywheel Inputs Analytics team is looking for a Sr. Business Intelligence Engineer to excel at deal response analytics. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. The Amazon Business Science and Analytics team owns the data driven decision making for key AB problems including price setting, selection additions, and operations optimization. Amazon Business is a fast growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history. You will build the analytics and the supporting structures needed to analyze, dive deep, and innovate product strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with the Product/Program Managers, Data Engineers, Applied/Research/Data Scientists, Economists, and Software Development Engineers to solve challenging problems. You need be comfortable using intellect, curiosity, and technical ability to develop innovative solutions to business problems. You will learn different aspects of the business and understand how to build or apply analytics tools to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.The ideal candidate will possess leadership skills, proven ability to develop, enhance, automate, and manage ETL pipelines end to end. The ideal candidate will have strong data mining and analytical skills and will be comfortable facilitating think big ideas and working from concept through to execution. The ideal candidate must have demonstrated ability to gather business requirements, and translate them into scalable ETL and analytics solutions. Key job responsibilities• Work closely with the BIEs, DEs, and Scientists in the team and collaborate effectively with product managers to create scalable solutions for business problems.• Create program goals and related metrics, track progress, and manage through obstacles to help team achieve objectives• Identify opportunities for improvement or automation in existing data processes and lead the changes using your business acumen and data handling skills. • Use the best practice on data integrity, design, test, implementation, documentation, and knowledge sharing. • Mentor and guide junior members in the team.• Contribute to supplier operations strategy development based on data analysis• Lead strategic projects to formalize and scale organizational processes• Build and manage weekly, monthly and quarterly business review metrics. • Build data reports and dashboards: Leverage your data skills and technical means (SQL, Excel, etc.) to improve on business efficiency across programs.About the teamAmazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Analytics team owns data infrastructure and reporting/analytics for key AB problems including price setting, selection additions, and inventory health. BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Master's degree in statistics, data science, or an equivalent quantitative field- Experience building measures and metrics, and developing reporting solutions- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience working directly with business stakeholders to translate between data and business needs ...

Sr. Business Intelligence Engineer, Pricing CX

Quick: A seller is listing a new product on Amazon. They report the product normally lists for $89.99 and that they're selling it for $50. What should Amazon do with this information? Is this price gouging or a terrific price?This is a difficult problem...and it happens more than 2 billion times per day!The WW Pricing CX within the Price Perception and Evaluation Org, is looking for a seasoned Senior Business Intelligence Engineer (Sr. BIE) to help us build, report on and analyze metrics for our business, we support all Amazon programs and geographies worldwide.In this role, you will lead efforts to identify and drive projects to increase Amazon’s understanding and influence of pricing. You will develop regular business reporting to baseline current performance and deepen our insights across customer segments and product types. You will help to establish measurements that will be used when running experiments to measure the impact of the experiments on price perception. You will help to influence the development of new models that will influence the way we display products. You will collaborate across teams to develop capacity reporting for project and operational overhead for existing and emergent work-flows. You will help define the data pipeline and self-service tools and driving insights for Pricing CX shown on Amazon. These Pricing CX provide contextual information to Customers about pricing. You will present your work in a variety of forums, including documents that will be reviewed by L10+ stakeholders.The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's varied pricing programs and processes. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion.The position is located in Seattle, WA.As part of this role you will -- Work closely with the partner BIEs, data engineers, PMs, econ and ML teams to identify and address issues and opportunities.- Facilitate and participate in the Price Perception BIE sprint planning and execution process- Analyze key metrics to uncover trends and root causes of issues, answer business questions on key Pricing CX trends worldwide, but also to ask the right ones.- Build metrics to measure key inputs and output metrics that drive Amazon price perception- Develop deep dive tools for key metrics.- Setting the standard in business intelligence for the organization, establishing best practices, and aligning teams and orgs toward simple, coherent approaches.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience with theory and practice of design of experiments and statistical analysis of results- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience building measures and metrics, and developing reporting solutions- Experience programming to extract, transform and clean large (multi-TB) data sets ...

Sr. Business Intelligence Engineer, US3P

Do you want to lead a strategic role that shapes how we work with Selling Partners to ensure the best possible seller Experience on Amazon? Amazon’s US 3P (Third-Party) Business represents an incredible opportunity to address a vast market segment and customer base and is an area of high interest for Amazon. Amazon US3P business team seeks a Sr. BI Engineer who will design, develop and support BI solutions to turn data into actionable insights supporting decision-making. Team is building an analytics solution for KPIs and Metrics used by senior leadership to monitor business performance. An ideal candidate should have solid skills in understanding business processes, Report development, writing complex SQL queries, testing, troubleshooting, metadata management, and documentation.Key job responsibilitiesAs a BI Engineer in the team, you will create and maintain optimal BI solutions. Assemble large, complex data sets that meet functional business requirements. Work with analysts and subject matter experts to design and develop data models and reports across business domains. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for supporting a wide variety of business domains and the growing needs of the campus analytics community.BASIC QUALIFICATIONS- 8+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Sr. Camera Systems Engineer, AWS Hardware Development

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Our checkout-free shopping experience is made possible by our Just Walk Out Technology. It automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our technology uses computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA. We need people who want to join a high-reaching program that continues to collaborate and push the state of the art in computer vision, machine learning, distributed systems and hardware design.Key job responsibilitiesWe are looking for excellent engineers that epitomize technical and operational excellence that can drive innovation and apply technologies to solve real world challenges. As an experienced Camera System Engineer within our team, you will collaborate with a skilled and accomplished cross-disciplinary staff and internal and external stakeholders to drive key aspects of technology solution definition, execution and validation.Full cycle product development experience from inception through maturity is important. Working simultaneously on projects in different phases is common; you are able to demonstrate strong design and validation skills in addition to the understanding of mechanics of ongoing operational excellence and product support. You are responsive, flexible, and able to succeed within an open collaborative peer environment.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than a big company. We will need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. You will tackle challenging, novel situations every day and, given the size of this initiative, you will have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a ton and make a positive impact on millions of people. A day in the lifeYou will specify several aspects of the system: * Optical: field of view, dynamic range, resolution, video encoding, auto-exposure, image stabilization, auto white balance, and auto-focus. * Mechanical: mounting and environmental fitness * Electrical/interface: power, bandwidth, and encoding * Software: compatibility with AWS Data Stream Processing, video decoding, device health monitoring and remote maintenance * Financial: unit, Non-Recurring-Expenses, connectivity, data streaming and processing, and field replacements and decommissioning at statistically predicted rates * Application: reliability, security, safety and EMC compliance* Camera care and feeding: site requirements, installation, operational metrics, troubleshooting, replacement, and decommissioning.You will write and present recommendations, experiment outcomes to Director level leadership.About the teamThe Just Walk Out hardware team (Argon) develops the hardware and firmware that enable our sensor, vision, and RF solutions that enable the frictionless shopping experience in our cashierless stores. We are a group of many engineering disciplines, all working together closely to ideate, prototype, mature, and launch into high volume production custom hardware products. Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- BS EE or CS, Physics, Image Science, Electrical Engineering or related experience.- 5 years of work experience with camera system development, validation, and deployment.- Experience in imaging optics, camera modules, lens design and illumination design.- Experience with image pipeline in still and video cameras, including selection and specification of video encoding / decoding algorithms.- Clear and concise documentation and communication skills. ...

Sr. Category Adoption Manager, Managed Spend Category Adoption

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space, developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible and join us in building and celebrating the value of Amazon Business; unlocking our potential worldwide!Key job responsibilities•Engage in deep discovery with customers to advise on ideal procurement solutions utilizing a diverse suite of product features in concert with in-depth analysis of spend.•Qualify, solution and close deals to exceed targets for new business acquisition.•Relay market needs and requirements back to internal Amazon teams including Product, Tech, Supplier Operations, and Category Management, often via writing.•Be the Voice of Customer with key internal Amazon stakeholders.•Prioritize collaboration with selling partners to maintain high levels of customer engagement and mindshare.•Analyze results to evolve sales strategy over time and inform the business.About the teamAre you a top performing B2B sales champion looking to own driving an indirect category spend growth strategy among the largest businesses in the world? Are you an expert in helping businesses manage their indirect spend more effectively through creating prescriptive procure-to-pay solutions?The Amazon Business team is dedicated to developing solutions that make procurement easy for businesses. Category Adoption Managers are an integral component of our growth strategy, acting as subject matter experts in procure-to-pay to advise our largest customers on cutting-edge modes of spend-management. As a Category Adoption Manager, you will have the exciting opportunity to co-own the new-business acquisition sales motion with our largest customers, while helping refine our forward-looking sales strategy. The ideal candidate will have B2B sales experience identifying, developing, negotiating and closing highly comply large-scale deals. The candidate should be a highly analytical self-starter with a proven track record of meeting and exceeding goals with experience selling category solutions (i.e. Office, IT, JanSan expertise). The ideal candidate collaborates with partner teams effectively and influences business partners to achieve the best customer experience.BASIC QUALIFICATIONS- 5+ years of B2B or enterprise sales with a focus on hunting new business experience- Knowledge of procurement and source to pay processes and solutions or equivalent experience- Experience with Microsoft Office products and applications- Experience identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Experience with sales CRM tools such as Salesforce or similar software- Bachelor's degree or equivalent ...

Sr. Channel Development Manager, Smart Eyewear Team

Imagine being part of a team building the future of Smart Glasses with Alexa AI. Echo Frames (Amazon’s first Smart Glasses product) is just the beginning. Amazon is focused on bringing AI, technology, and design into a form that is familiar to millions of people in a way that has never been done before. If you are excited about pushing the envelope and developing brand new experiences that empower users to do more as they engage with the physical world, we would love to meet you.This role will identify, prioritize and activate offline 3P retail partnerships from strategy to implementation, to drive consumer adoption of Smart Eyewear. You will lead 3P retail partner identification and negotiations. You will collaborate with product, go-to-market, and external partners to ensure branding and product experience raises the bar for customers. This visible, cross-functional role requires both strategic thinking (Think Big) and the ability to quickly Deliver Results and manage details. The successful candidate will be a self-starter, comfortable with ambiguity in a fast-paced environment within an emerging industry, and able to quickly formulate plans backed by data. We are looking to hire an exceptionally talented and highly driven leader to establish offline channels that would significantly contribute to customer acquisition goals.Key job responsibilities- Develop and execute offline channel strategy that may include general merchandising channels, optical trade channels and Amazon owned offline stores. to drive Smart Eyewear adoption.- Define and execute frameworks, policies and processes for channel selection, channel dimensioning, onboarding, commercial and business engagement terms, channel engagement etc. Own marketing and merchandizing plans for channel.- Work extensively with other Amazon teams to identify opportunities for synergy and leverage existing Amazon assets.- Work with regional and zonal sales teams to execute the channel rollouts.- Drive programs to enhance channel productivity, quality of customer acquisition, and lower cost of acquisition.- Establish a feedback loop with leadership teams on Channel and customer feedback and ensure product & process improvements to continuously enhance customer experience.- Influence cross-functional internal and/or external senior leadership on key business decisions.- Present high quality documents that articulate ideas and decisions to leaders.- Stay abreast of new tools, trends, and best practices in channel management; test and evaluate their efficacy in improving scale or effectiveness.About the teamImagine being part of a team building the future of Smart Glasses with Alexa AI. Echo Frames (Amazon’s first Smart Glasses product) is just the beginning. Amazon is focused on bringing AI, technology, and design into a form that is familiar to millions of people in a way that has never been done before. If you are excited about pushing the envelope and developing brand new experiences that empower users to do more as they engage with the physical world, we would love to meet you.BASIC QUALIFICATIONS- 8+ years of professional non-internship marketing experience- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience building, executing and scaling cross-functional marketing programs- Experience leading go-to-market for consumer software or hardware product launches ...

Sr. Compensation Consultant, Amazon Stores, WW Amazon Stores Compensation

As a Senior Compensation Consultant, you will be responsible for providing Compensation consulting services for tech and sales orgs within Amazon International Stores. The incumbent will work directly with PXT Partners and Management to achieve reward system objectives and assist, as needed, in variable incentive compensation plan design consultation.The successful candidate will proactively partner with client-facing PXT Partners and Business Line Management to identify and address compensation issues, and evangelize Amazon’s Total Compensation Philosophy and Strategy to the clients supported. This position is expected to represent the client’s point-of-view in key corporate compensation initiatives and the corporate point-of-view with client groups. We are looking for candidates who have the aptitude to understand our complex data, and be detailed and accurate from start to finish in developing programs and completing projects.This role can sit in Seattle WA, Arlington VA, New York City or Austin TX.Key job responsibilities*Perform deep analysis on effectiveness and competitiveness of existing compensation programs and model potential impact of alternatives.*Effectively partner with HR and Business client to manage, consult, and resolve compensation issues*Provide guidance to the business and develop creative solutions on a variety of total compensation issues including the setting of appropriate pay levels, base pay, annual incentive pay and stock compensation.*Partner with the business to develop variable incentive compensation programs, as needed.*Conduct job evaluations using market data and internal evaluation.*Conduct custom surveys with key industry contacts, as needed.*Partner with regional compensation (globally) on compensation issues, work on a variety of special compensation projects, and standardize global processes, as needed.*The position may also be responsible for components such as the strategy, design, policies, guidelines, and operationalize key concepts critical to the foundation of a specific compensation program. Works to gain alignment with different constituencies and represents a common point of view across multiple stakeholders.BASIC QUALIFICATIONS*Bachelor’s degree*Highly proficient in Excel*7+ years experience in finance, compensation, or consulting with an in-depth knowledge of core compensation terminology and best practices ...

Sr. Conversation UX Designer, Search and Conversational Shopping Design

The Search and Conversational Shopping Design team is responsible for customer experiences that make it easier and more enjoyable for new and experienced Amazon shoppers to gather inspiration, find the right products within Amazon’s vast selection, and evaluate products for purchase with ease.We seek a Senior Conversation Experience Designer to help us refine and create new features for Rufus, our new AI shopping assistant. To thrive in this role, you must be a pioneer with an inventor’s spirit and a strong understanding of language (inputs and outputs) and the written word who is passionate about technology and innovation. You are able to work fast, handle several projects, and quickly discern the needs of a brand as it relates to voice and tone. You know how to present ideas professionally through a strategic and creative lens. You must be comfortable working with project briefs and managing stakeholder inputs, functional requirements, and timelines. You have a solid understanding of conversation design fundamentals combined with a deep understanding of how to collaborate with UX designers, researchers, product management, engineering, data science, and operational teams as you go from early-stage product concepts to launches of new features and experiences. Key job responsibilitiesCreate world-class, user-centered designs through consideration of UX research, market research, business requirements, customer feedback, and usability study findingsWork with Science and Editorial teams to help train the LLM to generatd content that matches the intention of the designsDemonstrate leadership in driving design processes into the organization that help refine strategy.Translate business requirements into use cases and high-level customer experience requirementsDesign the interface and interaction flow of new featuresDevelop and maintain detailed user-interface specificationsPresent design work to the user experience team, product team, engineering team, Amazon.com leadership, and external partners for review and feedbackWork with our usability and data mining teams to assess and optimize new and existing featuresDevelop high level strategy for customers for both near and long term.Collaborate with other design team members on experiences, frameworks, process, and best practices.BASIC QUALIFICATIONS- 8+ years of UX designer or interaction designer experience- Have an online portfolio or samples of work on resume, demonstrating experience creating great end-to-end, user-centered design solutions and patterns, across desktop and mobile devices- Experience with design tools such as Photoshop, Illustrator and InDesign and prototyping in HTML, JavaScript, CSS, Ajax ...

Sr. Data Scientist, Alexa Smart Home Science

We're excited to build Large Language Model-based solutions that employ Applied Science, Linguistics, and Software solutions to delight Alexa Smart Home customers! Does this sound exciting to you? Come join us!The Smart Home Science team is focused on making Alexa the user interface for the home. From simple voice commands like turning on lights or adjusting the heat to complex use cases involving home security, entertainment, and environmental control, we are evolving Alexa into an intelligent, indispensable companion. Our goal is to automate daily routines, simplify interactions with appliances and electronics, and provide alerts when something unusual is detected. You can be part of a team delivering features that are highly anticipated by media and well-received by our customers.As a Senior Data Scientist, you will collaborate with scientists, linguists, and software developers to build the next generation of Large Language Model-based Smart Home voice control. You will lead complex data analyses and define, develop, and present research on advanced model- and heuristic-based tools and metrics to analyze the customer experience. Additionally, you'll have the satisfaction of working on a product that Amazon customers, friends, and family use every day!Key job responsibilities- Perform and standardize complex data analyses to provide insights into the customer experience and large language model performance. - Define, develop, and present research on advanced model- and heuristic-based tools and metrics to analyze the customer experience. - Prepare and present data reports to Alexa Smart Home leadership. - Mentor junior scientists to enhance their skills, knowledge, and professional effectiveness.About the teamAlexa Smart Home Science is a team of Scientists, Machine Learning Engineers, Linguists, and Software Developers that collaborate together to enable customers to engage with Alexa in a natural, delightful, and frustration-free manner to control device-related experiences in their homes and create the smart home of the future!BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Sr. Data Scientist, Alexa Smart Home

The Alexa Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment; we are evolving Alexa into an intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You can be part of a team delivering features that are highly anticipated by media and well received by our customers.As an Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models (LLM's). And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilities- Develop new inference and training techniques to improve the performance of LLMs for Smart Home control and Automation- Develop robust techniques for synthetic data generation for training large models and maintaining model generalization- Mentoring junior scientists to improve their skills, knowledge, and their ability to get things doneAbout the teamWe are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence, with features like Alexa Hunches that automatically control Smart Home devices.We are interdisciplinary and we act like it. We ask each other questions and value our different perspectives.BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Sr. Data Scientist, Amazon Business

At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business Flywheel Inputs Science team is looking for Sr. Scientist to excel at the flywheel inputs of selection, pricing and operations. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science for key AB problems including price setting, selection additions and operations optimization. Amazon Business is a fast growing business sector. We need the leaders who can think big and drive their vision into a reality. You will build the science models and the supporting structures needed to analyze, dive deep, and innovate the selection and pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging problems. You need be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. You need learn different aspects of the business and understand how to apply science and analytics to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.The ideal candidate will have the Amazon leadership skills, proven ability to develop, enhance, automate, and manage science models from end to end. The ideal candidate will have data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. The ideal candidate must have demonstrated ability to manage medium-scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. We are hiring the right talent and will adjust the job family based on the interview results to fit you in one of the following job families: Data Science, Research Science, Applied Science, Economist and Machine Learning Engineer. Key job responsibilities• Contribute to AB Flywheel Inputs strategy development based on science models and data analysis• Develop models to measure long term impact of seller behaviors• Collaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data. • Use optimization, statistical, machine learning and analytical techniques to create scalable solutions for business problems.• Design, development and evaluation of highly innovative models for forecast, optimization and experimentation.• Research, experiment and implement novel approaches.• Work closely with other scientists in the team and across teams.• Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.• Use the best practices in science: data integrity, design, test, and implementation and documentation.• Mentor and guide junior members in the team.• Contribute to Amazon's Intellectual Property through patents and internal and external publicationsA day in the lifeThe scientist will develop, enhance, automate, and manage science models from end to end. The scientist will also have the opportunity to present findings to cross functional team partners to drive improvements. He/she will work with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to build analytical and science models. The scientist will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.About the teamAmazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting and selection additions. BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Sr. Data Scientist, Devices Decision Science

The Decision Science team within Amazon Devices is seeking an experienced Senior Data Scientist to lead the development and implementation of sophisticated demand forecasting models and customer segmentation analyses that will shape our future product portfolio. Are you excited about making multi-million dollar decisions science- and data-driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea to launch? Do you want to work on a science team focused on scaling a variety of econometric and machine learning models? This could be the role for you!The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support over 100 device-specific analyses a year on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera. We apply science models to multi-million dollar, one-way door decisions. The successful candidate will excel at exploring and simplifying internal customer business problems, and delivering deliver solutions to those problems that can eventually scale to self service tools.Key job responsibilitiesAs a Data Scientist III at Amazon Devices, you will play a crucial role in shaping our product strategy and launch plans through advanced pre-launch forecasting and customer segmentation analysis. Your primary responsibilities will include:- Develop and execute sophisticated conjoint surveys to gather critical consumer insights for upcoming device launches.- Build and refine demand models using conjoint survey data and historical sales information to produce accurate pre-launch forecasts for new Amazon devices.- Lead the advancement of customer segmentation analysis, identifying key characteristics and behaviors of device purchasers across different product lines.- Collaborate with cross-functional teams including Product Management, Marketing, and Finance to translate data-driven insights into actionable strategies for product development and go-to-market plans.- Design and implement machine learning algorithms to enhance the accuracy of demand forecasts and improve customer segment identification.- Stay current with the latest developments in data science techniques, particularly in the areas of conjoint analysis, demand modeling, and customer segmentation.- Mentor junior data scientists and contribute to the overall growth of the data science practice within Amazon Devices.BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science ...

Sr. Data Scientist, FireTV Business & Marketing

The Amazon Fire TV Team is looking for a passionate and solution-oriented Data Scientist to help redefine and build new, science-driven experiences for customers enjoying Fire TV across the world.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 across engineering, product, marketing and business intelligence. 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 reinforcement learning. We deal with HUGE volumes of data, including clickstream, Alexa, Prime Video, and retail, so 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- Proficiency in model development, model validation and model implementation for large-scale applications- Ability to convey mathematical results to non-science stakeholders. Strength in clarifying and formalizing complex problems- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-expertsBASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression- Experience with design, develop and deploy large-scale machine learning models; Experience with optimization and personalization related problems. ...

Sr. Design and Creative Program Manager, Content Systems

Do you want to redefine how content is created and scheduled at scale, enabling the best experience for millions of customers worldwide each time they visit Amazon.com? Are you energized by collaborating with multi-disciplinary teammates around the world to integrate the latest technology into your work? Are you interested in shaping the next generation of marketing tools used by thousands of Content Creators across Amazon? Content Systems is seeking a Sr. Creative and Design Program Manager to focus on Amazon’s content creation and image rendering tools, discover opportunities to integrate generative AI, and develop customer-obsessed, innovative solutions that tackle Content Creators’ biggest challenges. As a Creative and Design Program Manager, you will be responsible for driving collaboration across UX, Tech, and Product and raising the design quality bar through processes and mechanisms. You’ll get to collaborate with creative designers, program managers, marketers, product managers, engineers, and BI analysts, and work on projects throughout the planning, design and development lifecycle. If you are passionate about building processes and delivering outstanding user experiences, we want to hear from you.The Content Systems team owns the foundation of merchandising tools at Amazon. We aim to provide Amazon Content Creators with the most seamless experiences when creating and scheduling content for Amazon’s customers. We supply our users content metrics to make educated business decisions that drive billions in revenue annually. If you are passionate about user experience and defining how content is created and scheduled at scale, then we encourage you to apply.Key job responsibilities* Drive cross-functional engagement model, fostering collaboration across Product, Tech, UX, and Creative Design* Manage day-to-day operations for UX and Creative Design teams to deliver a bar-raising customer experience* Support initiatives that introduce guardrails to generative AI/Large Language Models* Collaborate with tech, business & science teams and influence them to iterate on product to improve CX* Communicate team progress to broader organization and to leadership* Develop mechanisms to help scale generative AI and deliver insights to relevant stakeholdersBASIC QUALIFICATIONS- Experience communicating results to senior leadership- Bachelor’s degree or equivalent professional experience- 6+ years of experience as a producer, program manager, project manager, or similar role in a user experience or design team.- Experience working with UX design, creative teams, product teams, and engineering- Track record of working with UX and creative teams in the development of digital products ...