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Do you want to join an innovative team of engineers and analysts who use machine learning and analytic techniques to create state-of-the-art solutions for providing better value to Amazon's Sellers and Customers? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Business Intelligence team within Defect Prevention and Reconciliation (DP&R).The Defect Prevention and Reconciliation team is looking for a Business Analyst who will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. You will analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities. You will communicate analysis and metrics insights to stakeholders and business leaders, both verbally and in writing. These analytics and metrics will help ensure we are focused on what’s important, enable clarity and focus, and partner with internal stakeholders to help drive the business of Fulfillment by Amazon (FBA) Selling Partners.Fulfillment by Amazon (FBA) is built around Amazon’s world class capabilities in ordering, fulfillment, transportation and Customer service. By leveraging our current scale and supply chain, FBA can provide a low cost alternative for fulfillment and enable third party Sellers to rapidly grow their business. Fulfillment by Amazon (FBA) is an Amazon service for our sellers. The FBA team partners with sellers and our Amazon fulfillment centers to create a seamless experience for sellers to leverage our world-class facilities. Key job responsibilities- Retrieve and analyze data using SQL, Excel, and other data management systems.- Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Support cross-functional teams on the day-to-day execution of the existing program implementation.- Drive small to medium operational enhancement projects.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL ...

Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? In this position, you will directly support the creation of a global product that evolves the support experience for our Selling Partners. Data driven approach is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will work closely with product managers, SDEs, data engineers, operations teams, and senior management to define new metrics and project requirements and provide inputs towards defining solutions to business problems. You will learn and understand our global operations, database infrastructure, and existing system functionalities. After establishing this knowledge, you will need to develop a robust set of metrics and reporting solutions to help uncover opportunities, prioritize fixes, and influence leadership to help drive investments that reduce waste. Some of these metrics do not exist, requiring critical thought and data/metrics design. This will include complex analytics, mapping systems and datasets together, developing scalable reporting solutions, and producing narratives/documents outlining key insights and trends meant to drive investment as well as measuring the efficacy of solutions implemented over time to attribute success and impact. You'll build sustainable, scalable and automated analytics that help the organization understand opportunities for efficiency and performance improvements. With stakeholders across multiple teams, there will be frequent opportunities to influence significant decisions. RESPONSIBILITIES- Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages- Systematically identify data sources, perform analysis and build data pipelines to influence product roadmaps based on business problems.- Operate with significant autonomy to deliver results and achieve the goals and objectives of both your team and the broader organization.- Communicate complex insights to stakeholders, both verbally, in writing and through visualization and dashboards- Perform complex data research identifying opportunities to improve the effectiveness of our support mechanisms and provide analytical recommendations to business teams.A day in the lifeYou will work closely with product, program, and tech teams in order to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features. You will autonomously perform deep dives, uncovering new trends/areas that may need attention. You will also work closely with our product team to help design experiments and look for new opportunities.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.In this role you will influence our team’s science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state of the art machine learning research.You will be owner of the solutions that you create, you will lead junior members of the team, and you will work closely with Software Development Engineers to deploy the models into production.Your solutions will drive the technology behind agentic solutions, automated evaluations, and sophisticated RAG at Amazon.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Sales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? AWS Enterprise Support, Technical Account Managers (TAM) support our customers’ creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to organizations ranging from start-ups to Fortune 500 enterprises.Key job responsibilitiesA TAM provides consultative architectural and operational guidance delivered in the context of customer’s applications and use-cases to help them achieve the greatest value from AWS. A TAM will work with their customer to provide tailored engagements including Strategic Business Reviews, Security Improvement Programs, guided Well-Architected reviews, Cost Optimization workshops, and a range of proactive services. TAMs will consult on architecture, governance, security, and operations, including cost management and other pillars of building on AWS.Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer’s environment, and drive discussions with senior leadership regarding incidents, trade-offs, support and risk management.You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers’ AWS environments operationally healthy and resilient. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed.The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us!A day in the lifeAs a trusted advisor you’ll have a direct impact in helping our customers gain the most value from cloud technology. You’ll craft and execute strategies to drive our customers’ adoption and use of AWS services.Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. You’ll provide advice on architecture, support strategy, project, and launch planning as well as ongoing operational issues. About the teamSales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Diverse ExperiencesAWS 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.BASIC QUALIFICATIONS- 2+ years of technical engineering experience- Experience in operational parameters and troubleshooting for one (1) of the following: Compute / Storage / Networking / CDN / Databases / DevOps / Big Data and Analytics / Security / Applications Development in a distributed systems environment- Bachelor’s Degree in Computer Science, Math, or related discipline required- Experience in Information Technology operations- Bilingual in English and Mandarin ...

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.As a Business Analyst, you will help develop an analytic platform to drive deep dives, provide insights into the health and state of the CMS insights and experience. Build mind share “CMS Insights Suite” of pre-built dashboards that support tenants covering both retrospective and reactive reporting use cases including command center view. The suite will contain data dictionary of available metrics, dashboards and data catalog around routing, case/issue handling and workforce management themes. Launch the capability to tenants providing initial metrics coverage of 80% and ability to customize around routing and case handling sections.The Business Analyst will collaborate with Paragon Product team to build a metrics to measure Paragon experience. You will own the design, creation, and management of metrics, associated dashboards and datasets. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions using statistical techniques or regression models to generate insights from the structured/unstructured datasets.A successful candidate will be highly analytical, an expert with SQL and excel, seek opportunities to inject advanced analytical techniques, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines.Key job responsibilities• Leading complex data analysis projects to identify opportunities for improvement and optimization• Gathering and interpreting data from various sources to inform decision making• Developing and implementing solutions to optimize business performance• Creating data visualizations to communicate findings and monitor performance• Communicating findings and recommendations to senior management through presentations and reports• Mentoring and guiding junior team members in data analysis and process improvement methodologies• Assisting in the development and execution of strategic initiatives, metrics and contribution in analytical roadmaps.BASIC QUALIFICATIONS- 4+ years of business analyst, data analyst or similar role experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with data visualization using Tableau, Quicksight, or similar tools- Strong analytical skills, with the ability to gather, interpret, and make insights from large amounts of data- Expert in SQL and data analysis- Experience with data visualization tools such as QuickSight or Tableau- Experience with statistical techniques, prepost analysis- Excellent communication and presentation skills, with the ability to convey complex information to a non-technical audience ...

Do you want to help shape the future of Amazon's physical retail presence? The Location Strategy and Analytics team is looking for an Applied Scientist to join us in developing cutting-edge forecasting models, optimization models and analytical tools to support critical real estate and store planning decisions for Amazon's worldwide grocery business, including Whole Foods Market.Our team is responsible for developing sophisticated forecasting models and tools to support Real Estate and Topology analysts on important decisions regarding our stores - including new store openings, relocations, closures, remodels, design, new formats, and more.We leverage advanced data science techniques to build models for store sales forecasting, sales transfer effects, macrospace optimization, store network optimization, and store network diffusion planning.As an Applied Scientist on our team, you will apply your technical and analytical skills to tackle complex business problems and develop innovative solutions to improve our forecasting and decision-making capabilities. You will collaborate with a diverse team of scientists, economists, and business partners to identify opportunities, develop hypotheses, and translate analytical insights into actionable recommendations.Key job responsibilities- Design and implement advanced forecasting models and machine learning solutions to predict store performance and optimize our retail network- Analyze large datasets to uncover insights and patterns related to store performance, customer behavior, and market dynamics- Develop end-to-end solutions, tools and frameworks to scale our ML model development and data analysis.- Leverage Generative AI techniques to enhance user interaction with our solutions and improve overall user experience- Present research findings and recommendations to scientists, business leaders, and executives- Collaborate with cross-functional teams to drive adoption of models and insights- Stay current on latest developments in relevant fields and propose innovative approachesAbout the teamWe are a team of scientists passionate about leveraging data and advanced analytics to drive strategic decisions for Amazon's physical retail business. Our work directly impacts Amazon's worldwide grocery store growth and development strategy. We foster a collaborative environment where team members are encouraged to think creatively, challenge assumptions, and pursue novel approaches to solving complex problems. Our team is at the forefront of applying cutting-edge techniques, including Generative AI, to improve our forecasting models and enhance the usability of our scientific solutions.BASIC QUALIFICATIONS- Ph.D. degree in Computer Science, Statistics, Applied Mathematics, Operations Research or a related quantitative field or M.Sc. degree with 5+ years of professional experience in building, iterating and validating statistical models- Familiar with either Optimization problems or Causal Inference.- Strong in Statistics and Data Science.- Fluency in Python- Fluency in SQL- Excellent communication and data presentation skills. ...

Would you like to implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to build a better world for future generations?This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems.AWS established a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. We are building some of the largest and most complex distributed systems in the world, and we need adaptable people to help us implement and operate them. The AWS Intelligence team is seeking highly motivated engineers who are focused on operational excellence and troubleshooting complex system operations, have a good understanding of Linux, networking and general knowledge of cloud services. We need engineers who understand how to think big, and simplify solutions to complex problems; all the while ensuring that our customers continue to have the best experience possible. In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You may identify when technical implementations have defects or are not highly available, performant, or maintainable. You understand operational risk and avoid taking unnecessary risks. You identify operational concerns and resolve, mitigate, or escalate the concerns in a timely manner.This is a shift work position. This team works 24/7 operations, and may require you to work some nights and/or weekends.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.A day in the lifeOn a typical day, our engineers may dive deep to find the root cause of a customer issue, investigate why a metric is trending in the wrong direction, or discuss radical new approaches to automate operational processes. As a member of our team you will join a dedicated group of engineers who provide troubleshooting and operations support, and innovate to automate operational tasks.About the teamWhy AWS Amazon 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. Utility 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 their cloud services. Inclusive Team Culture 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. Work/Life Balance 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. Mentorship and Career Growth 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. Diverse Experiences 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.BASIC QUALIFICATIONS- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+- 1-3 years of experience with Systems Administration in Linux/Unix (Ubuntu, CentOS, RedHat, Solaris, etc.)- 1-3 years of experience with Networking (TCP/IP, DNS)- 1-3 years of experience with Troubleshooting / Support for technical IT issues- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

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.Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud powering hundreds of thousands of businesses in hundreds of countries around the world. As part of the AWS Infrastructure organization, Data Center Planning and Delivery (DCPD) prepares for, plans, and builds the data centers that comprise the AWS cloud.We are seeking an experienced Program Manager to work alongside a talented team of Technical Infrastructure Program Managers, Business Development executives, Construction Program managers and Energy PMs to help us deliver Data Center Capacity for our customers worldwide. The role will involve working in a fast paced environment and you will be leading programs to drive operational excellence and process improvements across a number of cross functional projects.If you love being at the forefront of industry growth and development, applying your analytical skills to derive insights and come up with solutions, then this is the right role for you. This is a role offering an opportunity work cross-functionally and across multiple regions. You will have the opportunity to build new programs ground up and scale existing programs/ initiatives.Key job responsibilities- Own and drive performance of key goals / metrics across the team.- Understand key processes and identify areas of improvement.- Deep dive misses to understand root causes and put in place long term solutions/ fixes.- Present findings/ recommendations and goal performance in Weekly/ Monthly/ Quarterly business reviews.About the teamAWS 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. Amazon 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.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- 4+ years of program or project management experience- 4+ years of defining and implementing process improvement initiatives using data and metrics experience- Experience using data and metrics to determine and drive improvements- Experience working cross functionally with tech and non-tech teams- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL- Bachelors’ Degree in Business, Economics, or STEM (Science, Technology, Engineering, Mathematics).or equivalent related experience ...

AWS Payments is seeking an Applied Scientist to drive high-impact science initiatives to help mitigate financial losses, create frictionless payment experience, minimize the cost of payment processing, and prevent abuses/exploitations of payment systems by bad actors. As an Applied Scientist within AWS Payments organization, your role is to leverage your strong background in Data Science and Machine Learning to build best-in-class payment risk assessment frameworks that enable efficient, data-driven decisions anytime, anywhere across payment lifecycle. You will analyze rich datasets at Amazon scale and provide insights to improve existing AI/ML solutions as well as drive new scientific initiatives that enhance the payments experience of millions of customers. This role requires a pragmatic technical leader who is comfortable navigating ambiguous environments and is capable of effectively summarizing complex data analysis and modeling results through clear verbal explanations and written documentations. The ideal candidate will have experience with machine learning models and applying science to various business contexts, especially experience in dealing with payments or financial services data. You will have to work with a group of other scientists, product managers and engineers and play an integral role in strategic decision-making. The right candidate will possess excellent business and communication skills, define business objectives and prioritize work across the team to support business outcomes, and develop solutions to key business problems.Key job responsibilities- Interact with product managers, business teams, and engineering teams to develop an understanding and domain knowledge of business requirements, processes and system structures.- Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization.- Develop scalable mathematical models to derive optimal or near-optimal solutions to existing and new challenges in the AWS payments space.- Improve upon existing methodologies by integrating new data sources, developing new models or algorithmic enhancements and fine-tuning model parameters.- Advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers.- Work closely with engineers to integrate prototypes into production systems.- Frame evaluation methods to monitor the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features.- Lead the project plan from a scientific perspective on product launches including identifying key milestones, potential risks and paths to mitigate risks.About the teamWhy 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.Utility 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 their cloud services.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 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.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.BASIC QUALIFICATIONS- 2+ years of data science experience with Master’s degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)- Expertise in using SQL for data analysis, reporting, and dashboarding. Working knowledge of web-scale data processing (e.g., PySpark).- Hands-on experience in predictive modeling and big data analysis. Strong coding and problem-solving skills in at least one programming language such as Python, R etc.- Proficiency in model development, model validation and model implementation for web-scale applications.- Ability to convey mathematical results to non-science stakeholders.- Excellent communication (verbal/written) and data presentation skills and demonstrated ability to successfully partner with business and technical teams.- Experience building data products incrementally and integrating and managing datasets from multiple sources.- Ability to deal with ambiguity and competing objectives in a fast-paced environment. ...

The Amazon Canada's Hardlines team is seeking a self-driven Vendor Manager candidate to support our Vendor Management team and our vendor partners. Vendor Managers work directly with vendors to improve value, selection and convenience across their business. They play a critical role in managing strategic and established brands to drive profitability and topline performance for their category.The ideal candidate would have the following skills and experience:· Strong oral and written communication skills· Proven ability to multi-task· Detail oriented· Thrives in ambiguity and fast-paced environmentThe candidate will use customer obsession and analytics to inform creative solutions to drive their business. The Vendor Manager will have the opportunity to engage with multiple internal teams to optimize product line performance for key manufacturers (vendors) on Amazon.ca. They will utilize strong communication skills to collaborate with internal cross-functional partners, such as site merchandising, buying, pricing, inventory management, operations, online marketing, and finance to drive performance for our Amazon.ca vendor partners.This position provides the candidate an opportunity to execute analytical deep dives that help inform category growth strategies and initiatives. In addition to gaining vendor management experience, this candidate will have exposure in driving category growth. Amazon.ca Vendor Managers have the unique opportunity to work at the most innovative online retailer, while developing strong functional skills in online merchandising/marketing, buying, planning/forecasting, pricing, and business analytics.RESPONSIBILITIES:Vendor Managers conceive, create and analyze a wide range of levers to drive vendor growth, brand awareness, negotiations and topline revenue on Amazon.ca.This role is also responsible for inventory management, product launches, pricing, and conducting detailed analysis to identify opportunities to drive growth for the vendor and Amazon.ca.Vendor Manager roles are in the General Management career path at Amazon. The General Management career path offers the opportunity for advancement into a variety of roles including Marketing/Merchandising, Vendor Management, Product Management and Inventory Management.Key job responsibilitiesThe Brand Specialist role on Amazon Canada's Toys team offers an exciting introduction to online retail and serves as a broad training ground for future success. This position involves working directly with strategic toy vendors to grow their businesses and optimize supply chains on Amazon.ca. The Brand Specialist will collaborate with multiple internal teams, including In-stock, Vendor Management, and Site Merchandising, as well as management to develop and execute strategies that grow and improve the toy product portfolio. Key responsibilities include managing vendor partnerships, enhancing performance indicators, optimizing supply chains, and contributing to site merchandising efforts to improve the overall toy shopping experience. This role requires an experienced brand manager capable of both strategic thinking and tactical execution, who can develop skills across various functional areas of e-commerce. The ideal candidate will balance long-term planning with immediate action, applying their expertise to grow the toy category on Amazon.ca while gaining valuable exposure to different aspects of the online retail business.A day in the life- Acting as the ‘business owner’ for his or her vendors in their respective categories, possessing a complete understanding of internal and external variables that impact the business- Owning forecasting, monitoring, understanding and reporting on vendors, along with responsibility for driving strategic supply chain projects and promotions to achieve business objectives- Proactively negotiating costs, promotional opportunities, and other business inputs for the vendor — autonomously- Conducting pricing and ROI analysis and making recommendations for initiatives that optimize profit margin- Managing Purchase Orders and In-Stock analysis for the strategic brands- Optimizing the online presence and content of each product on the brand's portfolio- Developing and executing marketing plans in order to drive awareness and purchases for the brand- Driving cross-category initiatives to improve operational process and deliver resultsAbout the teamOur team has a strong culture of hard working individuals that value flexibility, ownership, and ability to create our own priorities. Success is driven by an ability to operate independently, while sharing learnings, wins, and misses across the team.BASIC QUALIFICATIONS- 2+ years of account management, project or program management or buying experience- Bachelor's degree- Experience in financial analysis, retail buying, retail planning & allocation, product/project management, marketing, business development, consulting, negotiation or supply chain ...

Amazon.com is broadly recognized as #1 in Customer Service in the US and abroad. At Amazon, we drive innovation and customer obsession into everything we do, and this is especially true in the Customer Engagement Technology (CET) department. CET owns the technology to support and enhance our Customer Service Operations network through our Self-Service and Automation features, and various client applications. Amazon seeks a Business Intelligence Engineer to help promote the adoption of Data-Backed Experimentation and Analytics in Customer Service. We are a customer-obsessed team looking for someone who adheres to the highest data quality and governance standards, and can provide clear direction when surrounded by ambiguity.Key job responsibilitiesAs a Business Intelligence Engineer, you will support an emerging charter to enable experimentation and self-service analytics within Amazon's worldwide Customer Service organization. You will:• Design experiments of new software features by partnering with Product and Program Management teams• Define necessary success metrics and build the required data pipelines• Develop reporting and processes to enable self-service analytics by partnering with a worldwide team of Customer Service leaders• Introduce cloud technologies (such as AWS) to solve challenging problems related to warehousing large datasets, high-availability data visualization, and data self-service• Design and implement a reporting ecosystem and standards by working closely with technical managers, operations, and business leadsA day in the lifeCustomer Obsession: Achieve consensus on the inputs and associated success metrics that drive best-in-class Customer Service.Earn Trust: Partner with the Operations, Finance, and Data Science teams to establish the interaction model(s) necessary to drive data-backed business decision-making.Are Right, A Lot: Introduce analytical standards for data availability, quality, and visualizations; Develop mechanisms to detect and remediate defects and deviations.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job sAbout the teamThe charter of the Business Intelligence team is to enable analytical insights about the usage, performance, and delivery of software. We accomplish this in four ways:- We publish and maintain the events standard and data enrichment layer used by customers and external partners to understand and describe activity.- We build and maintain self-service reports to enable users to independently measure performance across standard Operational Metrics and view the results segmented across common dimensions.- We enable insights by supporting hypothesis testing and maintaining self-service test-and-learn architectures.- We enable business decision-making by supporting run-of-business analytics.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience with forecasting and statistical analysis- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

The Go-To-Market (GTM) Team for Contact Center Management System (CCMS) within the Customer Engagement Technologies (CET) organization is seeking a highly skilled and motivated individual to help drive migrations from old legacy tools to Amazon Connect for WW Customer Service. This team is also responsible for leading functional testing, triaging emerging issues, and developing new testing solutions. An successful candidate is skilled at process development and documentation, as well as stakeholder management. You are a highly adept communicator, able to effectively build alignment with a diverse set of stakeholders, and identify and resolve the root cause of defects within current systems.Key job responsibilities- Maintain constant communication with site operations, leadership, technology teams and other internal clients customer experience status across different business lines. This involves working with various tools which are used to obtain information required by the stakeholders. - Plan and execute business and User Acceptance Testing prior to marketplace launch. - Conduct root cause analysis of issues identified during testing, and ensure timely escalation of findings to appropriate teams. - Deliver results according to project Go-To-Market strategy, and schedules, while maintaining SLAs on velocity, productivity, and quality. - Handle exceptions where there is a deviation from launch plans to maintain business continuity. - Generate and analyze metrics to identify problem areas. Suggest solutions or changes for improvement and amend SOPs once approved. - Manage projects, identify requirements, and work with various teams to improve tools and identify automation opportunities.A day in the lifeLeading the functional testing in the form of incubation launch and friends n family [first 30/60 days], including emerging issues follow-up and reporting, testing solutions, prepare and execute UAT to support the incubation phases and full launch with key stakeholders.Overall Scope: - Connect Testing Design and Planning - Internal UAT (Instance/Infrastructure Test) - Connect Functional, Configuration and Feature Testing - Handshake validation for Connect focused on CET products and integration (MU Bot, Foresight, etc.) - Bug Triaging and Driving Issue Resolution - Internal and GO CSA Testing along with GO Sites (Firewall etc.) - Direct Dial Telecom Testing (In-Country Toll-Free Number/Direct Inward Dialing Number) - Friends and Family/Incubation Readiness and First Responders Room support - Support Daily Sunset inputs for GEPM and Stakeholders- Full Launch Readiness and First Responders Room support- Miscellaneous support for Launches, Migrations, and Expansions including Ad-hoc meetings, triaging, launch readiness etc. Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThis position will be a testing specialist on the Go-to-Market team and will be focused on the global migration of customer service onto Amazon Connect. This position is tasked to work closely with our customer service Operations teams, CCMS Tech, Product, and CET engineering teams to understand testing scope, create test plans and a test repository, facilitate UAT and deal with bug triaging and issue resolution for setting up our CSA network on Connect as we migrate from our legacy system onto this new product. This role will extensively test the Connect functionality, access, setups and configurations and all other go-to-market readiness to ensure the store is launch ready.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience partnering with executive-level leaders to identifying and solving business issues ...

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.The Maintenance & Tooling team works with the hundreds of AWS data centers around the globe to deliver the highest quality and lowest cost physical security, availability, capacity, and scaling results for our customers. Our aim is to standardize operations globally by delivering tools, policy, metrics, insights, processes and procedures to our internal teams. The team is seeking a Business intelligence engineer to design, develop, and implement business critical metrics for our global engineering team. Our mission is to provide critical data to operators and engineers that enables them to make informed decisions for maintenance of data center facilities. As a Business Intelligence Engineer, you will partner with Data Engineers and cross functional teams to harness the vast amount of operational data from the AWS fleet, and will use these data to generate insights that will guide engineering excellence and improvements on behalf AWS customers. In addition, you will build mechanisms that enable Engineering divisions to make informed, data driven, business decisions. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our organization.Key job responsibilities• Lead the design, implementation, and delivery of BI solutions in complex, ambiguous or poorly defined problem spaces. • Proactively work to improve the consistency and integration between the team’s BI solutions and any related systems or artifacts (owned by other teams).• Influence the team’s technical and business strategy by making insightful contributions to team priorities and lead in identifying and solving BI architecture deficiencies that limit the innovation. • Able to communicate your ideas effectively to achieve the right outcome for the team and customer and seek diverse perspectives, listen to feedback, and are willing to change direction if it creates a better outcome. • Lead design reviews for BI solutions or analyses for the team and actively participate in reviews for partner teams.• Actively participate in the hiring process as well as mentor others - improving their skills, their knowledge of your BI solutions, and their ability to get things done.• Influence technical decisions made by partner teams via collaborative software effort or by driving BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).About the teamWhy 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.Diverse ExperiencesAWS 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.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.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.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- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon is looking for a talented Postdoctoral Scientist to join our Seller Fees Science & Tech team for a one-year, full-time research position. Postdoctoral Scientists will drive data-driven innovations in the seller fee domain for our EU marketplace. In this role, you will have the opportunity to:Leverage economic methods like modeling and impact estimation to address key issues using large, real-world datasets;Partner with PMs and BAs to identify data and define metrics evaluating business initiatives and making recommendations;Execute from idea to implementation as an integral part of cross-functional teams;Thrive in a highly complex and fast pacing environment.Participate in research activities, including publishing papers, attending conferences, and collaborating with academic institutions to advance the state-of-the-art in relevant fields. Key job responsibilitiesIn this role you will:Build causal inference modeling to evaluate the effects of policy changes, such as fee adjustments and new fee structures, on seller behaviors and business metrics;Analyze how sellers and key outcomes are impacted by variations in growth strategies;Design experiments to measure pilot programs and support scaling-up effort;Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make science-based decisions.Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.Publish your innovation in top-tier academic venues and hone your presentation skills.Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. About the teamThe Fee Science Team works on science, economic, machine learning, and data engineering projects for Selling Partner Services and third-party fees. Our projects include causal modeling and impact of structural changes, models that support fee integrity, business analytics, and a comprehensive set of data sources and pipelines.BASIC QUALIFICATIONSBasic qualifications include: - PhD in a relevant field, received within 2 years of starting the program- Proven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields- Experience in data science and quantitative research- Proficiency in technologies relevant to the subfield ...

The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon’s own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon.This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities- Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch. For example, starting from deep scientific thinking about new ways to support customers’ journeys through discovery, you analyze how customers discover, review and purchase Private Brands to innovate marketing and merchandising strategies. - Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and eventually preliminary results. - Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions. - Present results, reports, and data insights to both technical and business leadership. - Constructively critique peer research and mentor junior scientists and engineers. - Innovate and contribute to Amazon’s science community and external research communities.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Come be a part of a rapidly expanding $35 billion global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. 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.We are disrupting the status quo of Business to Business (B2B) by delivering new, efficient purchasing and service solutions to individual proprietors, to small-medium businesses, to global organizations (and everything in between). Are you ready for the next step in your career building on your skills as a leader, innovator, and collaborator? Do you want to be part of an organization that is developing and launching new business models?If so, the AB Third Party (AB3P) team is seeking an exceptional Business Development Manager to drive expansion of our Go-to-Market (GTM) efforts for strategic B2B selection, and influence partner team product roadmaps. In this role, you will work closely with Product Teams, Account Managers, and sellers. Your objective will be to define the right customer experience, solve ambiguous problems, and lead complex deal-based negotiations. Additionally, you will contribute to mechanisms to scale our GTM to the broader Sales Team, own strategic programs, and translate business customer expectations into seller and tool requirements.The ideal candidate is a self-starter who is comfortable building a business, is metrics and data driven, has a desire to learn and lead in a fast-paced environment. You are able to think strategically, look at the business analytically, and implement flawlessly. As a leader, the right candidate will be comfortable with executive interactions, passionate advocate, and creative professional. You will build and inspire a positive, high-energy, results-oriented culture in our team, creating a measurable impact across Amazon Business.Key job responsibilities• Engage with strategic sellers, AB Account Reps, and AB Sales Leaders to execute deal-based negotiations for strategic selection.• Engage with sellers to drive new feature adoption through data led insights and collect voice of seller feedback.• Manage a strategic book of business and deals through ongoing engagement.• Own strategic program as part of GTM.• Manage projects in a timely fashion for multiple deliverables on competing timelines.BASIC QUALIFICATIONS- Experience with business development, partnership management, or sourcing new business- Experience structuring and negotiating complex agreements and leading cross-functional groups to orchestrate and successfully complete deals- Experience with sales CRM tools such as Salesforce or similar software- Experience in setting up and managing a sales pipeline- 6+ years of professional or military experience ...

Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Global Air (AIR)! AIR is a worldwide, customer-obsessed transportation provider of choice that safely delivers low cost, high quality service. AIR realizes this vision through a talented, inclusive, and diverse team, leveraging innovative technologies and a sustainability-aware mindset.​ Our AIR Data, Analytics and Business Intelligence team's fuels AIR's success through data driven decisions. We empower AIR business with actionable insights, advanced analytics, and strategic foresight. By leveraging data as a strategic asset, we enable agility, uncover new opportunities, deliver trusted intelligence and delight our customers.We are looking for an experienced, innovative, and strategic Business Intelligence Engineer who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.This role will partner closely with the business teams to understand the data-needs of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and new-initiatives. They should be able to identify and help close gaps in the information available, as well as predict up-and-coming data needs when participating in discussions about new products or features.Key job responsibilitiesData Collection and Integration:- Gather data from various sources (databases, APIs, files, etc.)- Design and implement data integration processes- Ensure data quality and consistency across systemsData Modeling and Optimization:- Implement ETL (Extract, Transform, Load) processes- Write complex SQLs to convert raw data to meaningful metrics- Optimize SQLs for improved performanceReport and Dashboard Development:- Design and create reports and dashboards using BI tools (e.g., AWS QuickSight, Tableau, Power BI, Looker)- Develop interactive visualizations to present data effectively- Ensure reports are accurate & user-friendlyData Analysis:- Conduct exploratory data analysis to uncover insights- Develop and implement statistical models and algorithms- Perform ad-hoc analysis to answer business questionsCollaboration and Communication:- Work closely with stakeholders to understand business requirements- Translate business needs into technical specifications- Present findings and insights to both technical and non-technical audiencesData Governance and Security:- Ensure data security and compliance with regulationsContinuous Improvement:- Stay updated with the latest BI tools and technologies- Automate processes where possible to increase efficiencyDocumentation and Training:- Create and maintain documentation for data models, processes, and reports- Provide training and support to end-users on BI tools and dashboardsProblem-solving:- Troubleshoot data discrepancies and technical issues- Develop solutions to complex data-related problemsData Strategy:- Contribute to the organization's overall data strategy- Identify opportunities for leveraging data to drive business valueBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in Computer Science or Engineering ...

Amazon Inbound Transportation Business Intelligence is seeking a passionate candidate who can leverage data to deliver actionable insights that impact business decisions and improve the customer experience. Amazon's transportation operations encompass the delivery of shipments from fulfillment centers and third-party locations to customers worldwide. Given the company's focus on faster customer delivery, the successful candidate must be driven to identify and build solutions that will help optimize the transportation network and enhance the customer experience.This role offers the opportunity to influence and drive a growing business area. The Business Intelligence Engineer will partner with various Amazon Inbound Transportation (AIT) teams to define, develop, and manage the cross-functional strategy for U.S. domestic inbound transportation. They will be accountable for identifying gaps and opportunities for improvement, keeping stakeholders and leadership informed of progress. The BIE will collaborate with a diverse set of stakeholders, including product managers, program managers, data scientists, software development engineers, and other partner teams across all regions and transportation modes of U.S. domestic inbound.The BIE will build foundational data pipelines and data tables, analyze large data sets, prove and disprove hypotheses, automate solutions, and create self-service dashboards and reports. This person will consistently employ high judgment, make data-driven decisions, and lead by example, influencing the AIT BI team to do the same. Key job responsibilities- Develop and lead design and execution of reporting solution for AIT- Work with product managers, data engineers, data scientists, and software engineers to define reporting needs- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc.- Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision.- Provide inputs in team and org level strategic planning, lead org/team discussionsAbout the teamAmazon Inbound Transportation (AIT) is responsible for optimizing cost-effective flow throughout Amazon’s inbound network while providing Amazon with greater control, performance, and inbound visibility. The AIT BI team within AIT is responsible for inbound data analytics and engineering support for the AIT org and various stakeholder and partner teams.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Knowledge of SQL and data warehousing concepts- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with multimodal systems. Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision.About the teamThe AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.The Project Kuiper North America Consumer team is looking for a talented individual to lead the strategy for key consumer segments. Key Segments will include; low-income consumers, public funding recipients, small businesses, and more. This role is responsible for launching consumer products and services. You will have a high degree of ownership as you define target customer segments, product positioning, and service launch plans. You will work closely with the US GTM Lead, Product, Sales, Marketing, Finance, Legal, Global Planning and Operations, Customer Service, Field Services, and more. A successful candidate will be both entrepreneurial, highly analytical, and able to work extremely effectively in a matrixed organization. We are looking for someone customer obsessed and technology savvy with a proven track record of leading new initiatives, especially related to consumer products and services. You will be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment—all while ensuring a successful service launch in the US.Key job responsibilities- Develop the strategy to launch consumer broadband products and services for key segments, establish business plans (including revenue and profitability targets), and orchestrate that plan across the organization - Leverage specialized geospatial analytics tools, complex network models, and technical expertise to build regional plans that match the needs of key customer segments- Generate in-depth analysis and insights to define target customer segments and develop product positioning- Develop the bid and pursuit strategy for public funding opportunities. Own end-to-end business development process for request for proposals, grant applications, and more - Evaluate competitive landscape and benchmark service plans, pricing, features, and partnerships- Own launch readiness for key segments in key segments and lead cross-functional team across product, sales, marketing, operations, business, legal, finance, and other partner teams- Deliver insightful business analyses, financial models, and comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders- Prepare detailed business cases for justification of new opportunities- Partner with legal, tax and regulatory to engage in business partnerships and local regulatory effortsExport Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of developing, negotiating and executing business agreements experience- Bachelor's degree- Experience developing strategies that influence leadership decisions at the organizational level- Experience managing programs across cross functional teams, building processes and coordinating release schedules- 5+ years experience in a corporate strategy or business development role ...