WA

Please note the following eligibility requirements to apply for this role:•Graduate from bachelor's degree program between 12/2024 and 6/2025, or graduated from bachelor’s degree program within past 24 months.•Ability to relocate nationwide. Relocation assistance provided, if eligible.•Ability to begin 40-hour/week, full-time employment in Seattle by June 2025.•We are unable to offer visa sponsorship for this role•Involvement in any one of the following Sports Categories (please highlight your athletic background, achievements, and sports areas of experience on your resume) : Skiing (Alpine and Nordic) ; Fishing ; Baseball ; Snowboarding ; Soccer ; Softball/Fastpitch ; Football ; Tennis ; Archery ; Climbing & Mountaineering ; Ice Hockey ; Lacrosse ; Kayaking ; Pickleball ; Volleyball ; Surfing ; Wrestling & Martial Arts ; Equestrian & Rodeo ; Bowling ; Skateboarding ; Rowing/Crew ; Sailing ; Cycling ; Dance, Cheer & Gymnastics ; Endurance Athletics (marathon, triathlon, swimming, weightlifting)Amazon is looking for a team-oriented, highly analytical individual with a strong passion for sports and outdoor recreation to join the Sports & Outdoors team, as we seek to become the most authentic and trusted specialty retailer for athletes and enthusiasts. The CATEGORY SPECIALIST will be responsible for developing and managing the Sport Category. This is an immersive role, responsible for a range of business development deliverables, Selling Partner relationship management, retail strategy (sales/promotions), and driving foundational improvements to our catalog and detail page structures that help to deliver a best-in-class customer experience in the Sport Category. The candidate will be responsible for meeting the following targets: brand/creator/publisher recruitment and management, product specific catalog and CX deliverables, and core P&L KPIs for the brands they work with (revenue and margin growth, selection count, etc.). They must possess a high-degree of ownership, a motivation to deliver results and track against core inputs, an ability to make data-backed decisions, and an interest to collaborate cross-functionally.In addition, this position is expected to provide expertise within their category. The CATEGORY SPECIALIST should have an in-depth understanding of what customers want/need when purchasing equipment in the Sport Category.Key job responsibilitiesThe successful CATEGORY SPECIALIST must:•Have a thorough understanding of the industry, seasonality and business trends/events, and continually monitor competitor/industry developments. •Analyze data from multiple sources and present recommendations on trends and opportunities•Possess an authentic enthusiasm/expertise for the category that allow them to interact appropriately with relevant brands, publishers, and creators•Be comfortable engaging as the first point of contact and generating new connections with external partners•Act as the primary point of contact and the internal advocate for vendors and customers, helping to prioritize actions across marketing, merchandising, catalog, and supply chain management•Manage vendor, creator and publisher relationships – covering relevant contracts, day-to-day operations, and negotiations•Manage challenging category goals, issues, and projects that improve Amazon CX while helping to meet selection, growth and profitability goals.•Understanding drivers and opportunities of the category P&L•Have a complete understanding of the customer needs, both existing and potential, and use that knowledge to advocate for and drive delivery of site features that provide Amazon customers with an unparalleled shopping experience•Contribute to category’s business strategy and break it down into actionable goals •Engage multiple stakeholders (internal & external) to problem solve, surface defects, extract and analyze data, and drive continuous improvement for the category, while meeting tight deadlines•Instituting best practices and processes which can be replicated across all categories•Act as a team player, who indexes highly on ownership and bias for action in order to meet time sensitive deliverablesBASIC QUALIFICATIONS•Are 18 years of age or older•Ability to begin 40-hour/week, full-time employment in Seattle by June 2025•Currently enrolled in a bachelor’s degree program with a graduation conferral date between December 2024 and June 2025, or graduated from bachelor’s degree program within past 24 months.•Involvement in any one of the following Sports Categories (please indicate sports areas of experience on your resume) : Skiing (Alpine and Nordic) ; Fishing ; Baseball ; Snowboarding ; Soccer ; Softball/Fastpitch ; Football ; Tennis ; Archery ; Climbing & Mountaineering ; Ice Hockey ; Lacrosse ; Kayaking ; Pickleball ; Volleyball ; Surfing ; Wrestling & Martial Arts ; Equestrian & Rodeo ; Bowling ; Skateboarding ; Rowing/Crew ; Sailing ; Cycling ; Dance, Cheer & Gymnastics ; Endurance Athletics (marathon, triathlon, swimming, weightlifting) ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As an Applied Scientist on this team, you will: - Be a strong contributor to Machine Learning; lending effort within this team and across other teams.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE 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 ...

AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.AWS Finance Analytics and Science Team (FAST) is responsible for many of the key functions needed by the AWS global sales organization, including building and operating the data resources that provide the AWS sales organization with insights into all areas of business performance. The successful candidate will be an expert with SQL, ETL (and general data wrangling), and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools and can partner with customers to answer key business questions.Key job responsibilities· Work with business customers to gather requirements and deliver complete data analytical solutions· Learn why customers are asking for data and what their underlying questions and business goals are· Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions· Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation· Drive data democratization throughout the organization, enabling others to self-serve their data needsBASIC 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences leveraging the latest advances in generative AI, and Amazon’s tremendous computational resources. What do you get? An unparalleled opportunity to deliver transformational experiences that impact customers everyday lives.Are you passionate about working on disruptive ideas? Are you obsessed with finding and building the most innovative and customer-friendly user experiences? Have you built and launched new experiences that impact shoppers all around the world? This is a unique full-stack opportunity that combines the ability to build exciting, new user experiences for Amazon's customers with the opportunity to work with Generative AI and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon customers.Key job responsibilitiesAs an Applied Scientist in the Amazon Profiles team in Personalization, your work delivers transformational, AI-powered end-to-end experiences to seek to understand each customer uniquely and deeply. You will use the latest ML and generative AI-powered methods to power new personalized experiences. Amazon Profiles represents a highly-visible charter, with exposure and sponsorship at the S-Team level. We leverage our understanding of each customer to personalize the moments that matter along the Shopping journey, while making it easy for customers to tell us when we get it wrong. We leverage generative AI to use this deep customer insight to help our customers more confidently navigate their shopping journey. We partner closely with teams across Amazon to deliver a unified and cohesive experiences. Come join us as we transform Amazon into a deeply personal and relevant store!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 ...

Work Address: 15518 Meridian Ave, Puyallup, WA, 98375  Pay Rate: $20.80 per hour Availability Requirements: Part-Time: Shift availability required 3 weekdays and one weekend day per weekShifts are between 5 a.m. and 11 p.m. and may be up to 8 hours long  ...

As a Business Analyst, from Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports and dashboards to metadata modeling, pipeline monitoring, and more. What are we looking for? · You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data. · You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract and transform data. · You have experience in creating dashboards and visualizations of processed data, identifying trends & anomalies, and providing unique ways to present data and information in an easy to consume format. · You have business communication skills to be able to work with product owners to understand key business questions, and are able to build solutions (reports / dashboards) that enable product owners to answer those questions quickly and accurately.. You are comfortable handling competing priorities and ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.Key job responsibilitiesKey job responsibilities- You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. - You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. - You will develop dashboards that provide insights into the health and state of the business, create analytics solutions to drive deep dives, and determine ways to measure impact. - You will provide insights and analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. - You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. - You will own the design, creation, and management of extremely large datasets. - You will be responsible to tune query performance against large and complex data sets. - You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices.About the teamAbout the teamThe Centralized Analytics and Data Engineering (CADE) team is a part of Amazon's Selling Partner Services' (SPS) Trustworthy Shopping Experience org. The team provides analytics and data engineering for organizations such as Brand Registry and Reporter experience, IP Protection and Perfect Order Experience. The team also develops BI tools to automate insight generation and data handling process. BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ 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- Bachelor's degree or equivalent- Experience making business recommendations and influencing stakeholders ...

Amazon Grocery is seeking a Business Intelligence Engineer (BIE) who is passionate about data, analytics, science, and automation. Our team, seeks to Invent & Simplify solutions that increase the speed and quality of decision-making through research and models, business process automation, business analysis and reporting. In this role, you will have the opportunity to touch every aspect of our business from strategy to procurement to customer delivery experience.As a BIE on our team you will focus on exciting and challenging problems, including:- Apply your deep analytic and business intelligence skill to extract meaningful insight from large and complicated data sets- Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting- Design, develop, and implement scalable, automated infrastructure for data extraction, processing, computation, and delivery- Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications- Work closely with data engineering, product management, and business stakeholders to deliver features to customers- Learn new technology and techniques such that you can meaningfully support product and process innovation- Help drive new initiatives and data integration projects.Key job responsibilities- Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation- Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.- Develop metrics that helps support product category growth and expansion plansBASIC 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 ...

Are you passionate about solving complex problems and pushing the boundaries of technology in personalization and content understanding? We’re looking for an Applied Scientist II (L5) to join the Amazon Content Foundations (ACF) team within the Personalization (P13N) organization.Key job responsibilitiesIn this role, you will collaborate with Amazon's core and centralized systems to tackle challenging problems around content ingestion and curation, creating inspirational shopping experiences such as Shop By Interest (SBI). This includes:- Developing Large Language Models (LLMs) from scratch to enhance content understanding and engagement. - Diving deep into Amazon's content ecosystem to design and improve automated annotators that enable high-quality content ingestion. - Driving innovation to curate and present inspirational, engaging content to millions of Amazon customers. 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 ...

We are looking for motivated BIE to join the Amazon Global Cross Border Selection Team. The BIE will work side-by-side with the Product and Business team members as they support the team driving success and growth of Cross Border Selection Expansion. This is an exciting opportunity to develop analytical insights and work directly with business and product leaders to shape Cross Border Selections Expansions Strategy.Amazon Global is pioneering cross-border e-Commerce by becoming a one-stop shop for Amazon Customers Worldwide and providing a seamless experience to shop international selection. Selection is a key input driver for this business and we are looking for a dynamic, organized and self-starting BIE candidate to take on a critical role in developing cross border selection reporting and analytics to deliver key insights to teams around the work for one of Amazon’s fastest growing businesses.Our team is a cross section of product and program managers who own the end-to-end strategy and execution of growing selection offerings for worldwide customers. The optimal candidate will owns the reporting and analytics for selection growth across 45+ countries deep diving to develop insights that help drive our strategy for acquiring new selection and retaining existing selection. Our team works with product, tech, legal, ML, and compliance teams across the world to deliver unique selection that delights our customers around the world.As a Business Intelligence Engineer, you will work with our Business and Product Teams to create automated and scalable analytical tools that will ultimately be critical in driving the growth and expansion of the business. This includes building the infrastructure for regular reporting on business and production selection data and diving deep to uncover insights that will impact selection expansion decisions. You will leverage data to provide key data-driven insights, enable new analyses, and innovate on behalf of our business customers.Key job responsibilities· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs. · Generate actionable insights through the development of metrics, dashboards and deep dive analyses. · Serve as a technical, business-metrics specialist and insight provider in the organization. · Act as a key interface between our business customers and technical divisions. · Leverage extensive data sets to derive strategic insights that shape business decisions on content spend. · Present insights to senior stakeholders in Product and Business Teams. · Work in a fast paced, global environment, across various functional teams.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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

More and more enterprise companies are moving to the cloud so they can focus on business instead of technical debt. It's a critical time for cloud providers, and Amazon Web Services is investing in making sure we continue to offer the world's best customer experience for these complex migrations.If the idea of accelerating a historic shift in technology excites you, apply to join us in the AWS Migration Services group in Seattle. We are expanding by adding a new team to build a brand new service, and looking for talented engineers obsessed with customer experience and operational excellence.As a Software Development Engineer on our team, you will design, build, and operate AWS services that will help large enterprise companies move their computing into AWS. You will become an expert in migrations, which are complex problems involving hundreds or thousands of computer systems that must be identified, organized, and migrated or modernized in a way that meets each customer's unique needs.What does a successful Software Development Engineer at AWS look like?You provide effective communication of your ideas within and across teams to create the right outcomes for your team and customers. The quality and efficiency of your code, design, and implementation set a great example of best practices for engineers.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 customers who require specialized security solutions for their cloud services.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.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. 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. 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 & 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- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team ...

Are you looking to build and scale a new and growing business with Amazon? If so, you might be interested in this role with Amazon Freight.Amazon Freight is a startup business within Amazon focused on developing an industry-leading transportation offering to provide external freight Customers access to the world-class network and freight services currently used to facilitate Amazon’s own freight movements. Our freight offerings/portfolio ensures our Customer’s freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less-than-truckload, and intermodal. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.We are seeking a Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insights for Amazon Freight. Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.Key job responsibilities· Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance· Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements· Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models· Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and Matlab- 3+ years of experience using excel for deep dive and provide actionable insight to stakeholders ...

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a dynamic, personalized experience to sellers running real businesses, large and small.Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).Key job responsibilities* Produce written recommendations and insights for key stakeholders that will help shape effective strategies.* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions* Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.* Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.* Develop programs, methodologies, and reports for analyzing and presenting data.* Supporting cross-functional teams on day-to-day execution of projects and process improvements.* Effectively collaborate in a fast-paced environment with multiple teams in a large organization.About the teamSelling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.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- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

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.AWS Commerce Platform provides the infrastructure and services that enable AWS teams to sell their services to AWS customers, as well as help customers understand and manage their infrastructure costs. AWS Commerce Platform computes the bills for AWS customers based on their usage, invoices them and collects payments.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.Key job responsibilitiesCommerce Platform is seeking a highly motivated engineer who is focused on operational excellence and troubleshooting complex system operations, has 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.You will be able to take a defined project, break down the work to help define milestones, and feedback mechanisms. You identify when implementations are not highly available or have defects; you investigate systemic patterns. You resolve, mitigate, or escalate operational concerns in a timely manner.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.Team Mercury supports AWS Commerce Platform and is responsible for several hundred production services and pipelines. Our team in Seattle provides support for a subset of these services that have far-reaching and significant impact to Commerce Platform.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- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- 3+ years of systems administration experience (Linux/Windows).- Experience working with scripting languages.- Current, active US Government Security Clearance of TS/SCI with Polygraph. ...

The AdsEcon Team is looking for an Applied Scientist II to help and be part of a team to put state-of-the-art causal inference research into production.AdsEcon is a cross-functional team of Economists, Applied Scientists, Data Scientist and Engineers, with the charter of developing moonshot science solutions for Amazon Advertising. We favor projects that are ambitious, ambiguous, and risky. We use a combination of econometrics, machine learning, and randomized experiments to build disruptive initiatives for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high level leaders.Key job responsibilitiesIf you have a experience with building causal inference and other machine learning solutions at scale this is the job for you. Key responsibilities of Applied Scientist include the following:- Partnering with economists and senior team members to drive science improvements and implement technical solutions at the state-of-the-art of machine learning and econometrics- Design, implement, prototype, deploy, and maintain large-scale Causal/ML models. Models are often deployed in partner's teams code base, requiring good communication skills and collaborative spirit.- Build interpretable statistical models and analyze experiment results to answer questions that will drive high impact decisions across 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 in patents or publications at top-tier peer-reviewed conferences or journals- 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 ...

Amazon's Legal Department is looking for a talented attorney to be based in Seattle to fill the position of Associate Corporate Counsel - AWS Security. The role will primarily support Amazon Web Services, a dynamic and rapidly growing business within Amazon.com. Amazon Web Services is at the forefront of the cloud computing service industry, providing IT infrastructure services, such as on-demand compute, storage, database, network and content delivery, artificial intelligence, mobile, and internet of things services, and more.You'll be an integral part of the AWS Security team you support, giving input on business and strategy, in addition to providing legal counsel on investigations, regulatory and compliance matters, products counseling, resolving issues that arise in commercial relationships, and handling pre-litigation disputes and inquiries. You will develop strategies for handling legal issues in creative, business-centric ways and you will build processes that address risk and allow the business flexibility and freedom to move quickly. You also will provide support for AWS's global security response operations, working with engineers on complex, emergent matters.The successful candidate must be inquisitive, enthusiastic about technology, enjoy working hard and being continually challenged, and demonstrate sound judgment even in ambiguous situations.Compensation based on experience and includes equity compensation.BASIC QUALIFICATIONS- Juris Doctor and membership in one state bar or equivalent- 2+ years of legal experience as a practicing attorney, preferably with technology-related legal and regulatory matters. ...

The Seller Fees team owns the end-to-end fees experience for two million active third party sellers worldwide. We own the fee technology, fee strategy, seller experience, fee integrity, fee science and data engineering to provide scalable technology to monetize all services available to third-party sellers. We are looking for an Applied Scientist with strong engineering background to join us on improving accuracy in billion-scale fee transactions worldwide and enhancing models to provide better Seller experience with fee services. In this role you will develop large scale deep learning systems to drive the fee calculations that impact hundreds of millions of products from third-party sellers in the Amazon product catalog. You will leverage sophisticated statistical methods, supervised and unsupervised learning models, as well as generative AI that can scale to production requirements worldwide. You will participate in developing models at the intersection of deep learning and causal inference. You will collaborate with other Applied Scientists, Research Scientists, Data Scientists, Economists, Software Developers, and Product Managers. If big and rich data, large scale deep learning and building intelligent systems excites you, we would like you to be on our team!Key job responsibilitiesResponsibilities:. Design measurable and scalable science solutions that can be adopted across stores worldwide with different languages, policy and requirements.· Integrate AI (both generative and symbolic) into compound agentic workflows to transform complex business systems into intelligent ones for both internal and external customers. · Develop large scale classification and prediction models using the rich features of text, image and customer interactions and state-of-the-art techniques.· Research and implement novel machine learning, statistical and econometrics approaches.· Write high quality code and implement scalable models within the production systems.· Stay up to date with relevant scientific publications.· Collaborate with business and software teams both within and outside of the fees organization.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- 2+ years of deep learning, computer vision, human robotic interaction, algorithms implementation 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- 2+ years of solving business problems through machine learning, data mining and statistical algorithms experience ...

Amazon is looking for a highly analytical Engineer to join the CA Supply Chain Team. The Canada Supply Chain team is responsible for the long-term capacity and network architecture planning, as well as the short-term supply chain execution between Amazon’s sellers/vendors, fulfillment centers and downstream partners. This role will support planning, execution, optimization and continuous improvement in the supply chain consisting of hybrid Fulfillment Centers and dedicated cross dock buildings in future. The ability to diagnose problems and to conceive-build-implement solutions will be key to success.As a Business Intelligence Engineer, you will generate insights that will guide operational excellence and strategy for our customers. analysis is at the core Amazon’s culture, and your work will have a direct impact on decision-making and strategy for our organization. You will be gathering operational insights, run statistical analysis, mining making recommendations, and helping senior leaders make key decisions. You will have the opportunity to work with large and diverse data sets to gather insights from across, using AWS Infrastructure.The ideal candidates will have excellent analytical and statistical abilities, acumen and judgment, intense curiosity, strong technical skills, and written and verbal communication skills. They will have a strong bias toward driven decision-making. They will be a self-starter, comfortable with ambiguity, able to think and be creative (while paying careful attention to detail). They will enjoy working in a fast-paced dynamic environment. If you are excited about it, are results oriented, and want to join a growing analytics team within Amazon, this role is for you.Are you up for the challenge?Key job responsibilities- Design, develop and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc. that will support the needs of the .- Apply deep analytic and skills to extract meaningful insights and learning from large and complicated sets using the appropriate statistical forecasting model and Machine Learning models.- Be hands-on with ETL to build pipeline to support automated reporting.- Serve as liaison between the planning and technical teams to achieve the goal of providing actionable insights into current performance, ad hoc investigations to support future innovations and continuous improvements. This will require gathering and manipulation, problem solving, and communication of insights and recommendations.- Build various rich visualizations to tell the story of trends, patterns, and outliers.- Recognize and adopt best practices in reporting and analysis: integrity, test design, analysis, validation, and documentation.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 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 ...

The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.Key job responsibilitiesAs an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.A day in the lifeDiverse 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. Why 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.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 & 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. 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. This team is part of AWS Utility Computing: 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.About the teamThe Amazon Web Services (AWS) Next Gen DevX (NGDE) team is building Amazon Q for Developers to re-imagine all aspects of how builders create applications. We build AI products that are deployed in the IDE, the AWS console, and in web-based tools and services. We provide developers with AI assistants to generate code, features, and entire applications as well as to interact with AWS. We explore new technologies and find creative solutions, produce original research and bring cutting edge innovation to our customers. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space, this is the team for you.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 5+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- 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- Experience in any of the following areas: Deep-learning, Generative AI, and Large Language Models ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship is as much about finding a company where you can picture yourself being successful as it is about finding the right role. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better.Visit www.amazon.com/about to:• Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year.• Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn.• Learn more about our commitment to our communities, diversity and military veterans.• Learn more about our headquarters in Seattle as well as where we operate around the world.Program Manager (PGM):PGMs at Amazon act as internal consultants, designing and launching process and product improvements for diverse sets of business challenges. PGMs work to find solutions to complex problems within operations, supply chain, demand planning, logistics and innovate on leading edge solutions to manage programs broadly across businesses within Amazon. PGMs are given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions They drive efforts independently and as part of larger project teams, and have a significant impact on the customer experience and the business. PGMs are placed across lines of business at Amazon and work cross functionally. Examples of organizations where PGMs may work include: Amazon Web Services (AWS), Supply Chain, Procurement, Operations, Devices, Prime Video, Global Delivery, Consumer and more.Key job responsibilities• Manage full lifecycle of complex cross-functional programs with considerable impact across multiple organizations• Development of the overall program strategy, tactically driving teams in and outside of your organization to deliver• Report on objectives, analyze data and drive improvements that are quantified with metrics• Write high quality documents with customers, internal/external teams, and engineering teams to determine what projects move forward and in what priority order• Oversee gaps between teams, processes and systems, helping teams reduce exposure to classic failure modes (e.g., requirements not sufficiently understood or documented, ineffective cross-team collaboration, long-term impact(s) from third-party solutions, security not considered, insufficient stakeholder review, etc.)• Work with program managers and business leaders to communicate and impact critical business initiatives• Develop, implement, and govern KPI reporting for a portfolio of programs, providing visibility to the milestones, and performance across projectsA day in the lifePGMs at Amazon act as internal consultants, designing and launching process and product improvements for diverse sets of business challenges. PGMs work to find solutions to complex problems within operations, supply chain, demand planning, logistics and innovate on leading edge solutions to manage programs broadly across businesses within Amazon. PGMs are given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions They drive efforts independently and as part of larger project teams, and have a significant impact on the customer experience and the business. PGMs are placed across lines of business at Amazon and work cross functionally. Examples of organizations where PGMs may work include: Amazon Web Services (AWS), Supply Chain, Procurement, Operations, Devices, Prime Video, Global Delivery, Consumer and morBASIC QUALIFICATIONS• Are 18 years of age or older.• Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2025 and September 30, 2026. • 2+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 2+ years of military work experience prior to starting your MBA or master’s program. ...

Do you have a strong science background and want to help build new technologies? Do you have a physics background and want to help build and test superconducting circuits? Join the quantum revolution at Amazon and be part of a team that's pushing the boundaries of what's possible in quantum computing and quantum technologies. As a Research Science Intern focused on Quantum Technologies, you'll have the opportunity to work alongside leading experts in the field, contributing to cutting-edge research and driving innovation in areas such as quantum algorithms, quantum simulation, superconducting qubits, quantum key distribution, and quantum optics.We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of Amazon's customers. Research interns at Amazon work passionately to apply cutting-edge advances in technology to solve real-world problems. As an intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, and implement prototypes.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Amazon has positions available for Quantum Research Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA. Key job responsibilitiesWe are particularly interested in candidates with the following skills: Experience with working on commercial quantum computation at hardware, software, or consulting companies. Experience with AWS technologies like EC2, S3, and Cloudwatch. Familiarity with using data visualization tools. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. Quantum Algorithms, Quantum Simulators, Superconducting Qubits, OpticsIn this role, you gain hands-on experience in applying cutting-edge analytical techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights to drive operational excellence, we encourage you to apply.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Conduct research and develop new quantum algorithms to solve complex computational problems- Design and implement quantum simulation models to study the behavior of quantum systems- Investigate the properties and performance of superconducting qubits, a promising platform for building large-scale quantum computers- Explore the application of quantum optics principles to develop novel quantum sensing and communication technologiesBASIC QUALIFICATIONS- Are enrolled in a PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience with any programming language such as Python, Java, C++- Experience with one or more of the following: Quantum Algorithms, Quantum Simulators, Superconducting Qubits, Quantum Key Distribution , Optics ...