Amazon.com Services LLC - A57

Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. Amazon is seeking an exemplary Senior Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a (Senior) Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.- Supporting cross-functional teams on the day-to-day execution of the existent program implementation.- Generating complex queries to dive deep on process issues- Innovating to improve customer experienceBASIC QUALIFICATIONS- Bachelor's degree- Experience in writing SQL queries and creating business intelligence reports using Tableau, Power BI- 5+ years of tax, finance or a related analytical field experience- Experience with Excel- Experience making business recommendations and influencing stakeholders- Experience with QuickSight dashboard and visual creation ...

ARCADE team (Analytics team support MCF and BwP business) is seeking a highly motivated Data Engineer to solve innovative problems via business process and technology innovations. We are looking for an experienced Data Engineer to tackle complex and ambiguous problems that span numerous systems and organizations. As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis and machine learning models. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.Key job responsibilities• Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.• Develop and manage ETLs to source data from various Santos domain and SDO teams & operational systems and create unified data model for analytics and reporting.• Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.• Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for ML model development, statistical analysis, prediction, etc.• Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.• Build scalable and secure data infrastructure that will be used by BIEs to develop dashboards those are used by senior leadership.• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.• Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.• Manage numerous requests concurrently and strategically, prioritizing when necessary• Partner/collaborate across teams/roles to deliver results.• Mentor other engineers, influence positively team culture, and help grow the teamBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team.The Relay Financial Systems and Risk Management organization in Middle Mile Transportation Technology (MMPT) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with.In this role, you will partner with Product and Tech leaders in development of sophisticated risk models to predict and monitor high-risk areas, ensuring proactive and responsive risk management, collaborate with the team to continuously improve metrics calculations, tools, methodologies, standard operating procedures (SOPs), and other essential components, driving excellence in all aspects of our operations. The ideal candidate will demonstrate outstanding written and verbal communication skills, meticulous attention to detail, a data-driven mindset, and the ability to effectively manage stakeholders while earning the trust of our carrier partners. Collaboration and autonomy are essential qualities for success in this role. If you wish to innovate on behalf of customers, are passionate about driving compliance, reducing risks, and making an impact on society, come join our team and make history! Key job responsibilities• Assist Amazon transportation stakeholders (e.g., risk partners and business leaders) with identifying and managing potential risks (e.g., regulatory, operational, or reputational) in their core processes that if left untreated could impact strategic objectives. • Apply risk management framework to Amazon transportation programs and influence the product landscape for audit and controls. • Identify and address gaps in risk coverage through meticulous data analysis and awareness of emerging risks. • Collaborate with the team to continuously improve metrics calculations, tools, methodologies, standard operating procedures (SOPs), and other essential components, driving excellence in all aspects of our operations. · Lead and support teams in responding to, investigating, managing and resolving high-impact incidents and escalations. · Analyze existing policy and process gaps, and develop solutions to close them.· Own and/or manage projects designed to improve operational and process efficiency. This will include accessing and analyzing data and working extensively with external teams. BASIC QUALIFICATIONS- 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience- Bachelor's degree or equivalent- Experience handling confidential information- Experience with SQL and Excel- 2+ years of experience developing, validating, and improving risk models related to transactional or transportation risks, preferably in a logistics, e-commerce, or financial services environment. ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics is seeking students to join us for a 5-6 month internship (full-time, 40 hours per week) as Data Science Co-op.Please note that by applying to this role you would be considered for Data Scientist spring co-op and fall co-op roles on various Amazon Robotics teams. The internship/co-op project(s) and location are determined by the team the student will be working on.Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-roboticsAbout the teamAmazon empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.BASIC QUALIFICATIONS- Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field- Degree program must be based in the United States with an expected graduation of December 2025 or later- Must be eligible for and available for full-time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co-op- At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related- At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication- At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) ...

Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon.As a part of Core Shopping, our team is focused on building novel ways for customers to find and discover new products. If you love building new experiences from scratch with high impact for customers, this is the team for you!Key job responsibilities- Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. - Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.- Deliver customer value in an iterative fashion while working towards longer term systems goals.- Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.- Design and code the right solutions starting with broadly defined problems.- Work in an agile environment to deliver high-quality software.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Blink (part of Amazon Devices) is looking for a data-driven, customer-obsessed marketing manager to drive scaled email marketing campaigns globally. In this role, you will be responsible for defining and executing the vision for email marketing strategies and campaigns. This role will have end-to-end ownership of subscription campaigns, including automated flows and promotional emails from strategy to execution with a strong foundation in e-commerce best practices.This is a critical role on our marketing team as we look to scale acquisition, engagement, and retention efforts for Blink. This role will manage acquisition email campaigns across Sonar and Braze including prospecting, TPR, Marquee, and re-targeting campaigns. They will manage device launch campaigns, prospecting, and campaign management. They will aim to become an Amazon Email Bar Raiser acting as the SME for all awareness, acquisition, and conversion email programs working with Developers, Creative, Product, and Business Development.Key job responsibilitiesOwn email marketing campaigns from beginning to end from gathering of requirements, design and development, to testing, launch, and reportingGenerate on-brand, best-in-class content, tailored to appropriate customersLeverage Braze, Sonar, and other email tools to increase performanceBuild email programs and execute campaigns that drive awareness, engagement, and revenueWork with stakeholders to build campaigns that inform customers of launches, promotions, news, and eventsCreate and test campaigns and templates that align content to customer preferencesAnalyze, report on, and optimize against key metrics including CTR, open rates, revenue lift, and engagementRecommend and implement iterative A/B testing to continually improve performance through optimized messaging and targetingDevelop and lead an annual email marketing plan to align on key growth areas, maintain a project schedule, and make it visible to leadershipGain subject matter expertise in customer pain points and deliver proactive solutionsResearch and develop an iterative testing strategy to gain insights and continuously improve the customer experienceWork with marketing, content, design, product, support, engineering, and leadership to align channel initiatives with business goalsAnalyze cohorts and segment effectively to drive growthTrack email best practices, industry trends, and make proactive recommendationsA day in the lifeThis role's primary focus will be to build and execute email marketing strategies and campaigns to enhance the customer experience and drive growth for our business. The ideal candidate has experience leveraging data to gain insights and solve problems, an eye for design, experience with content strategy, and technical email development skills.You will bring your proven creative, analytical, and strategic capabilities to imagine, develop, plan, implement, and optimize compelling campaigns that deliver results.You think strategically and execute flawlessly. You understand data workflows, customer segmentation, automation and personalization, ecomm and consumer marketing, and testing best practices.You earn trust with key stakeholders across multiple teams and are excited to test and learn in a data-driven environment. You work autonomously yet enjoy collaboration, handle multiple large-scale initiatives, and deliver results that raise the bar.BASIC QUALIFICATIONS- 5+ years of professional non-internship marketing experience- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion- 5+ years experience developing email and in-app marketing campaigns (including automated flows) from concept to completion; including testing, sending, and reporting ...

Our Machine Learning training infrastructure (ML Infra) team is responsible for designing, implementing, and optimizing large-scale computing infrastructure that powers our cutting-edge AI and machine learning initiatives. We leverage advanced hardware, innovative software architectures, and distributed computing techniques to enable breakthrough research and product development across the company.We are seeking a Senior Machine Learning Engineer to join our team and lead the development of our next-generation ML training infrastructure. This is a high impact, high visibility role that will shape the future of our machine learning capabilities and contribute to the advancement of AI technology across the industry.Key job responsibilitiesLead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across our ML infrastructure.- Align the teams in ML Infrastructure and related organizations to a coherent technical vision and deliver systems that fit well together.- Exert influence over multiple teams, increasing their productivity and effectiveness. You hold peers and teams to a high bar for performance and efficiency, and aid teams through your expert guidance and example.- Considered to be an authority on technical issues by both the technical and research community, you are responsible for guiding difficult trade-off decisions and drive awareness about the impact and consequences of technical decisions on AI research and product development.- Demonstrate significant innovation, creativity, and judgement when solving challenging AI/ML infrastructure problems. Identify future skills needed across your organization and advocate for the development and/or acquisition of those skills to senior leaders. You scout top talent and recruit them to the company.- Actively mentor senior and Principal engineers, scale yourself by developing and institutionalizing best practices in AI/ML infrastructure and distributed computing across the organization.A day in the life8+ years of professional software development experience in distributed systems with emphasis on ML infrastructure- 8+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust- Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc- Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up- Knowledge of emerging AI hardware accelerators and architectures- Experience with containerization and orchestration technologies (Docker, Kubernetes)- Experience with cloud computing platforms (AWS, Azure, GCP) and their offeringsAbout the teamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.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 a Senior Front-End Engineer passionate about giving customers the best experience possible, using the latest technology and best practices? Join our diverse and supportive team as we reimagine our customer experiences to give customers critical visibility into forecasting, scaling, and costs associated with our biggest events, including Prime Day. We're looking for a talented and experienced engineer to shape the future of UX for our customers. If you love exploring cutting-edge web technologies, writing high-quality code, and mentoring others, this is the perfect opportunity.Key job responsibilities1. Shape Front-End Development: Guide design, implementation, and optimization of responsive, accessible user interfaces, using modern front-end frameworks and libraries.2. Establish Front-End Architecture: Drive development of reusable and modular UI components, adhering to best practices and design systems.3. Maintain Performance and Quality Standards: Ensure optimal performance by implementing efficient rendering techniques, code splitting, and other performance optimization strategies. Contribute to establishing and maintaining high-quality standards for the front end code base through testing, code reviews, and best practices.4. Collaboration and Mentorship: Collaborate closely with designers, back-end engineers, and product managers to understand requirements and translate them into seamless user experiences. Share knowledge across the organization through tech talks and by mentoring other front-end developers.A day in the life* Ownership & Impact: Our team independently builds imaginative customer experiences that shape the future. You'll provide technical leadership and mentorship to drive front-end excellence.* Cutting-Edge Technologies: You'll have the opportunity to work with the latest front-end frameworks, libraries, and tools, staying ahead of the curve in the ever-evolving web ecosystem.* Cross-Functional Collaboration: You'll collaborate closely with designers, back-end engineers, customers, and product managers to create cohesive and delightful user experiences.About the teamCloudTune provides cloud elasticity at Amazon's Stores, Digital, and Others (SDO) scale and rate of innovation. We build foundational and increasingly automated forecasting and scaling technology that enable capacity assurance and infrastructure cost controllership. Our aim is to help the whole of SDO have access to the AWS resources they require, at the right time, and at the best price. Through our tooling, we help customers understand their costs of doing business, where and how we need them to take action to react to our scaling forecasts, and offer insights into how they might take advantage of infrastructure efficiency opportunities.BASIC QUALIFICATIONS- 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue) ...

Who are we?Interested in joining our dedicated team at Amazon that makes the return of pickup and packages convenient for our customers at our Locker+ retail locations? Curious to be at the heart of where innovation meets customer obsession? Customer Experience Operations (CXO) is an exciting organization within Amazon specializing in delighting our customers with quality service in an ever-changing environment. Our goal is to go beyond assisting with customer orders. We strive to connect personally with our customers and uplift their lives – even if for just a few moments. We operate out of designated retail locations – where it’s convenient for our customers – helping facilitate the delivery and return of customer orders.As a CXO Site Lead, you will be the face of Amazon and contribute to the vibrant culture based on customer obsession, trust, respect, integrity, continuous learning, and fun. You possess strong attention to detail, the ability to quickly prioritize tasks, the willingness to learn new things, and a commitment to delighting our customers. You will assist with customer service operations and floor leader responsibilities.Key job responsibilitiesKey Responsibilities:• Interact with customers by effectively using customer engagement strategies and model desired behavior for the rest of the team.• Provide peer-to-peer feedback on processes and standards, serving as the escalation point to assist associate peers in solving customer issues, where appropriate• Contribute to continuous improvement of the customer experience and operations by participating in the development of best practices• Help identify and communicate barriers and trends that contribute to the customer and associate experience and support the manager in building a strong site culture.• Work with a manager to maintain the physical safety and quality standards of the site• Work in a fast changing and ambiguous environment• Perform additional duties, as assigned• Work flexible hours including nights, weekends, and holidays + Tuesday - Saturday 8:45am - 5:15pm• Lift up to 49 pounds, stand and walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend, and reach, as well as continuously climb and descend stairsBASIC QUALIFICATIONS- High school or equivalent diploma- Are 18 years of age or older- Experience in training others ...

The Supply Chain S&OP team is looking for a Senior Business Intelligence Engineer. You will contribute to defining and building inventory placement success metrics, and finding ways to reduce distance to customers by placing the right items in the right Amazon building in order to increase delivery speed and reduce costs. You will chase defects in our systems, leaving no stone unturned to delight our customers with wider selection. This role will give you a unique view on Amazon systems, process and operations, interacting with planning teams, fulfillment centers and worldwide technical teams. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we’d like to talk to you. Key job responsibilitiesYou will lead critical performance management initiatives for inventory placement leveraging complex data management/visualization and presenting those to different levels within the company:- Design and own the right set of metrics measuring inventory placement performance- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers and spinning the Amazon flywheel!- Pioneer new ideas to increase speed and reduce delivery cost to customers- Pilot and implement your recommendation in production through smart configurations in Amazon systems- Develop the analytics required to visualize opportunities and measure progresses- Partner with worldwide technical teams to develop new featuresBASIC 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 Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, Amazon Echo and E reader products. What will you help us create?The Role:The Sr, Hardware Quality Engineering Manager (QEM) is responsible for ensuring that our products are designed for quality. As early as the concept phase of the product, the QEM will develop a risk assessment utilizing the NUD process (New, Unique, Different). This risk assessment will be comprehensive of lessons learned on previous products, along with technological, manufacturing and operational risks to the current design.The successful candidate will establish quality goals and monitor performance, investigate the full suite of failure analysis leading to root cause determination and subsequent closed loop corrective action. Conduct quality lessons learned and institutes remedies to prevent re-occurrence of quality issues and possess a high sense of urgency when managing critical issues. This position also needs to onsite support NPI builds and drive build issues to closure with RCCA/8D. The candidate able to influence engineerings teams for design improvement. In addition to the work done in the New Product Introduction (NPI) and Early Sustaining phase, the QEM of will drive continuous improvement in all aspects of the job, be able to deal with ambiguity, and influence at all levels of the company. In this role, you will:• Understand the technology and functionality of consumer electronic products, and be able to assess the risk to a negative customer experience, so that it can be prevented during development• Be an expert in advanced quality methods and protocol• Guide cross-functional teams in Design for Quality initiatives• Utilize your comprehensive knowledge of standards, related disciplines, company strategy and goals, to ensure a positive customer experience• Deliver solutions to complex problems through in-depth data analysis and forensics by using methodical approaches, along with experience, innovation and judgment to make decisions that may be based on partial information• Understand detailed implications of choices and recommendations; be able to communicate recommended solutions to the product development team, all the way up through the executive level of the company• Align cross-functionally, influencing a broad spectrum of stakeholders to deliver on the quality policy• Create standards around which others will operate and build consensus• Ascertain specific quality related functional milestones during NPI• Up to 30% of domestic and international travel to onsite factories is required.Export 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- BSME/BSIE/BSEE/BSCE or related Engineering degree- - 10+ years of working experience in an engineering or quality role.- - 5+ years of practice experience with statistical tools, strong with quality program management.- - Familiar with NPI cycles and Product Development Process for consumer electronics industry.- - Good understanding of electronic assembly processes mostly on consumer electronics.- - Ability to deliver solutions to complex problems through in-depth data analysis and forensics, using methodical approach such as DMAIC- - Solid understanding and demonstrated success with practical applications of Lean / Six Sigma tools such as Failure Mode & Effects Analysis, Design of Experiments, Measurement System Analysis, Analysis of Variance, Hypothesis Testing, Value Stream Mapping, Pareto Charts, Gage Repeatability & Reproducibility, Cpk.- - Technical knowledge of conducting process audits and formulating plans to drive continual quality improvements within the factory operations.- - Must be self-motivated/self-directed, is able to manage multiple work streams simultaneously and flawlessly- - Excellent program management skill. Ability to work with and influence others.- - Excellent written and oral communication skills in English and Mandarin, desired.- - Able to travel within China and South Asia Countries. ...

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 ...

Amazon internships are full-time positions, and interns should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.Start dates for our internships in this posting include the following period:1. Summer (Starts May/June 2025)Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?If this describes you, consider joining us as an as Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.Please review the following page for information on Amazon University Talent's recruiting timeline and additional FAQs: https://techengamazon.splashthat.com/. Key job responsibilitiesAs a Data Engineer intern, you will/may:• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.• Design data schema and operate internal data warehouses and SQL/NoSQL database systems.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.• Monitor and troubleshoot operational or data issues in the data pipelines.• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.• Develop code based automated data pipelines able to process millions of data points.• Improve database and data warehouse performance by tuning inefficient queries.• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.• Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.A day in the lifeIn addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real-world setting.We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.BASIC QUALIFICATIONS- Experience with database, data warehouse or data lake solutions- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell, Scala)- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Experience with data transformation.- Currently enrolled in or will receive a Bachelor’s in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline with a conferral date between October 2025 – December 2028. ...

The Seller Insights and Planning team’s mission is to make FBA the best place for sellers to both thrive and delight customers. We achieve this through identifying opportunities to address seller pain points, optimizing our services to reduce seller effort, eliminating the defects that lead to seller costs, and orchestrating initiatives across business, technology and operations that simplify the seller experience.As a Data Engineer in this role, you’ll have an opportunity to design, develop, and maintain a data lake that supports engineering, product, and business teams internationally within the Worldwide FBA business. Achieving this will require developing scalable data pipelines and systems that enable efficient and reliable data processing and integration from multiple sources owned by teams distributed internationally. Collaborating closely with cross-functional teams, you will need to determine engineering requirements and implement solutions that support our business intelligence and analytics initiatives, particularly focused on Worldwide FBA performance. The ideal candidate will be technically proficient (at the Data Engineering Coding bar), possess a strong background in data engineering, and have a deep understanding of data architecture. Key job responsibilitiesDesign, build, and maintain scalable and robust data pipelines for extracting, transforming, and loading (ETL) data from various structured and unstructured sources.Develop solutions to integrate data from multiple internal and external sources, ensuring accuracy, consistency, and reliability. Manage data storage solutions to optimize performance and cost-efficiencyDesign and implement efficient data models and schemas for business intelligence, analytics, and reporting. Ensure these models are optimized for performance, scalability, and accessibilityCollaborate with data analysts, BI engineers, software developers, and other stakeholders to understand data needs and provide solutions aligned with business requirements. Engage in cross-functional projects to support WW FBA initiativesImplement and maintain data validation processes to ensure high data quality and integrity. Establish data governance frameworks to enforce data security, privacy, and compliance standardsMaintain comprehensive documentation of data architecture, pipeline designs, and data models. Promote and enforce best practices for data engineering within the teamBASIC QUALIFICATIONS- Bachelor's degree in quantitative study such as Computer Science, Computer Engineering, Mathematics, or equivalent experience- 3+ years of data engineering experience- 3+ years of writing advanced SQL queries- Experience with data modeling, warehousing, and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, R, or NodeJS- Proficiency in written and verbal communication skills including comfortability communicating and presenting to senior leadership ...

We are looking for a strategic Senior Manager of UX Design to lead a team of talented designers crafting thoughtful consumer-facing experiences within the Amazon's Buy with Prime design team. Buy with Prime allows millions of U.S.-based Prime members to shop directly from brands' online stores while getting Prime shopping benefits with the convenient and trusted experience they expect from Amazon. In collaboration with our partner platforms and brands, we want to ensure that the Prime experience seamlessly enhances carefully curated shopping journeys, while aligning with their values. You will work with our internal teams and our external partners at e-commerce service providers or marquee brands to integrate Prime experiences into their consumer offerings.To be successful in this role, you must be an empathetic leader who prioritizes the success of their team, has a proven track record in coaching and mentoring highly motivated designers, excels at creative problem solving, working through ambiguity, and setting up structure to meet long-term business goals. You will not only help scale the team, but work with leaders at well-established e-commerce partners to achieve harmony between their shopping experiences and our solutions. Strategic management and influencing teams is critical to be successful in the role.Our team consists of highly specialized UX Designers, Visual Designers, Researchers, and Program Managers, collaborating with internal and external teams to deliver innovative customer-facing experiences to Prime members. As a Senior UX Design Manager, you will lead a team of individual contributors, often working across disciplines, to support a suite of products within the Buy with Prime program. You will be responsible for defining the end-to-end customer experience vision and ensuring its delivery across your team. You will drive clarity in complexity, reduce bureaucracy, and remove blockers to move the organization forward. Importantly, you will set the CX bar for your organization, champion continuous innovation, and drive better customer experiences across our product and engineering teams. You will insist on operational efficiency, create mechanisms to measure and drive influence and impact, and build strong, diverse teams with complementary skills.If this sounds interesting and motivating, we would love to talk to you!Key job responsibilities* You are a role model, mentor, and motivator* You are invested in growing people, developing talent, and creating an inclusive and inspiring environment* You bring deep expertise in multiple facets of UX design: interaction models, prototyping, visual and motion design, IA and design systems. * Drive consensus on design decisions through application of usability heuristics and data* You prioritize effectively, use data to inform your decisions, weigh the impact and tradeoffs of decisions, and seek input where needed to drive alignment* You work closely with product and business partners to develop a shared vision and lead a process to define and design experiences that deliver on those shared objectives* You are comfortable navigating from ambiguity to clarity, drawing upon your expertise and design process to create structure. You proactively plan ahead, look around corners, and can see the next step (even when it doesn’t exist yet)* Build and communicate empathy for the end user, aligning cross-functional peers on similar goals* You develop processes that drive quality and efficiency to help designers accomplish more than what they could otherwiseAbout the teamThe Buy with Prime UX team’s mission is to craft experiences, enabling every entrepreneur in the world to reach every customer in the world through every channel they can imagine. We work backwards from customer needs and apply insights-driven decision making to articulate a north star vision, clarify product strategy, and define a near-term MLP that is intuitive, accessible, and scalable. We ruthlessly prioritize effort based on business needs and customer impact, establishing durable mechanisms to increase designer efficiency and raise our quality bar. Finally, and perhaps most importantly, we invest in the well-being and professional development of our people and maintain a transparent, empathetic, and collaborative culture.BASIC QUALIFICATIONS- 10+ years of design experience- 5+ years of leading multi-discipline Design teams (ie. visual design, interaction design, user research, etc.) experience- Experience leading design teams of 5 to 10 or more direct reports- Experience leading a diverse team in the delivery of experiences from end to end (user flows, wireframes, high-fidelity visuals) ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Amazon Robotics is seeking Applied Science Interns and Co-ops with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells. As an Applied Science Intern/Co-op at Amazon Robotics, you will be working on one or more of our robotic technologies such as autonomous mobile robots, robot manipulators, and computer vision identification technologies. The intern/co-op project(s) and the internship/co-op location are determined by the team the student will be working on.Please note that by applying to this role you would be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics research within areas such as computer vision, machine learning, robotic manipulation, navigation, path planning, perception, optimization and more. Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-roboticsBASIC QUALIFICATIONS- Currently enrolled in a Master's or PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field- Degree program must be based in the United States with an expected graduation of December 2025 or later- Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op- Relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related- Experience programming in Java, C++, Python, or related ...

As a Principal TPM at Ring, you will work closely with our different teams – Hardware, Firmware, Backend, App, and more - to plan and coordinate the execution and launch of product lines, while simultaneously keeping your team focused on meeting commitments. You must be capable of sorting through priorities, diving deep into details, defining processes that improve execution, championing engineering best practices, executing with agility, and succeeding in a complex environment. You will manage all system software aspects and cross-functional dependencies of product development and launch. You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of cutting-edge products that will be used every day.Key job responsibilities• Interact with Project Sponsors, Technical Program Managers and multiple Development Teams to define and deliver complex features. • Lead the effective and efficient delivery of the large, complex projects.• Maximize resources for the greater good of the organization. Identify, assess, track and mitigate issues and risks at multiple levels.• Create, maintain and disseminate project information to stakeholders.• Drive effective teamwork, communication, collaboration and commitment across multiple disparate groups with competing priorities.BASIC QUALIFICATIONS- 8+ years of technical product or program management experience- 10+ years of engineering experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules- Bachelor’s degree in a technical discipline (Computer Science, Computer Engineering, Software Engineering).- 5+ years of experience with software development (SDLC) for embedded Linux platform.- 5+ years of experience with software development using RTOS.- 5+ year of experience with defining projects, collecting requirements, coordinating efforts to scope, and scheduling and deploying new feature sets. ...

This is not a corporate, remote or office-based position. This is a full-time, entry level position located within one of Amazon’s fulfillment centers, sort centers, delivery stations or other operations buildings. Amazon is seeking customer focused individuals to lead a team of hourly employees across our cutting-edge Operations network! Our warehouses are fast-paced environments where standing, walking, and having on-the-production floor conversations are common as a supply chain leader.As an Area Manager, you will be responsible for engaging, leading and developing your team in a warehouse environment. Your main focus will be motivating, mentoring, and managing your team to meet goals. Amazon provides extensive training and development to become an exceptional people leader. As a people manager, you will ensure that your team has all the tools needed to succeed and maintain the highest levels of safety, quality, attendance and performance at work. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $61,100/year in our lowest geographic market up to $73,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Benefits: Medical, financial, and/or other benefits (www.amazon.jobs/en/benefits)Visit www.aboutamazon.com/workplace/facilities to find more information on each of our building types. Please note we are not able to provide sponsorship now or in the future for these positions. Eligible candidates must have work authorization without employer intervention to be considered.This posting encompasses all openings in the state(s) listed in title. Site placement is determined by aligning your location preferences with location availability after your interview. Relocation benefits are offered at time of offer to eligible candidates.Key job responsibilities• Support, mentor and motivate 50-100 direct report Amazon Associates• Work independently and operate in an autonomous environment• Stand/walk during shifts lasting up to 12 hours• Willing and able to regularly work shift patterns that include nights, weekends, and/or holidays based on business needs. While shifts vary site to site, most follow a fixed 4-day work week with 3 days off.• Oversee truck deliveries, handle and sort packages using pallet jacks, operate PIT equipment (at applicable facilities) and step in as needed.• Work in an environment where the noise level varies• Lift up to 49 pounds and frequently push, pull, squat, bend and reach• Climb and descend stairs (when applicable)BASIC QUALIFICATIONS• A bachelor’s or master’s degree with all requirements completed between May 2023 and August 2025. (You must have all degree requirements met before your first day). ...

Amazon Advertising seeks the world’s brightest and best technical engineers to drive next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites across the web, and on millions of desktops, mobile, and connected TV devices. Our mission is to offer the world’s most customer-centric advertising. Amazon DSP (ADSP) is Amazon’s programmatic advertising product for campaign spanning Display, Video, and Audio across Amazon properties (e.g., Amazon.com, IMDb TV, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party (3P) websites and apps. We seek candidates who want to join a team focused on building large-scale systems that integrate across multiple sources to provide unique advertising products. These products give advertisers the controls and data necessary to improve the relevancy and performance of their ads.Key job responsibilities* Design and build full-stack solutions.* Use your problem-solving skills, collaborating with creative and technical teams, thinking-big and inventing and simplifying to solve challenges.* Deliver novel customer experiences by developing solutions.* Collaborate with teams across Amazon to integrate and optimize existing ad products to take advantage of Amazon's scale and reach.* Leverage your technical ability, excellent organizational and communication skills to build and solve challenging and ambiguous problems. You'll use your ingenuity and motivation to achieve results in a fast-paced environment.* Provide guidance to and mentor other SDEs in the team.* Be responsible for high quality bar, ensuring quality design reviews and robust engineering practices for automated testing and code coverage.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Amazon’s Customer Behavior Analytics org is looking for an Applied Scientist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. This is a high-impact role with opportunities to develop systems that affect investments to the size of billions of dollars. We work closely with business stakeholders and strive to continuously produce tangible impact on the company’s strategic and tactical planning and operations. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine/deep learning at scale to solve business problems. You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them. You will apply your expertise in ML/DL, statistics, and data-wrangling to identify opportunities for further research and to provide insights that drive larger initiatives. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization.Key job responsibilitiesThe main responsibilities for this position include: - Apply your expertise in ML/DL and statistical modeling to develop solutions and systems that describe how Amazon’s marketing campaigns impact customers’ actions - Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions - Improve upon and simplify our existing solutions and frameworks - Review and audit modeling processes and results from other scientists, both junior and senior - Work with marketing leadership to align our measurement plan with business strategy - Formalize assumptions about how our models are expected to behave and explain why they are reasonable - Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making - Develop and document scientific research to be shared with the greater science community at AmazonAbout the teamThe Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience. 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 ...