WA

Amazon Last Mile is seeking an experienced candidate to identify, create, develop and integrate innovative solutions and programs that lead to improvements in our last mile delivery network. This position will lead the development and execution of new worldwide transportation initiatives designed to improve overall efficiency and meet the ever-growing demand for last mile capacity. The successful candidate will have data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution. Key job responsibilities- Build strategic labor planning models, partnering with product teams for tool development, and managing labor/scheduling resources for the network- Build analytics and data pipelines to enable optimization and predictive science- Communicate with Delivery Station Leaders to determine capacity needs from the flexible labor pool- Work directly with labor planners and workforce staffing partners to integrate labor planning and execute labor orders- Partner with operations and PXT leaders to deep dive escalations related to labor scheduling- Monitoring existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities.- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Build a data structure and reporting process by working through various business parameters, which establish truth in data.- Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders.- Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy.- Leverage data to increase the efficiency of our programs working closely with the business teams to drive optimization.- Update existing and create new metrics and reporting that help drive business conclusions, continually improving reporting and analysis processes.- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions.- Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation).About the teamLabor Strategy team leads innovation efforts in the labor planning space for AMZL UTR Operations. We partner closely with applied science, analytics, tech, and planning teams.BASIC QUALIFICATIONS- 2+ years of tax, finance or a related analytical field experience- 2+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 2+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,200+ satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.The Product Launch Manager on the B2B PMM team is a highly visible global role responsible for launching new products and service. This person will appreciate a large scope of impact, and bring complete clarity to highly ambiguous, and complex early-stage, global product releases. They will drive the marketing center of excellence, planning and organizing the end-to-end launches of hardware, services, and accessories in all Kuiper regions. This will be someone who enjoys organization, cross-functional management, and rallying peers from engineering, product management, operations, and business development and partner organizations, like AWS. This leader will also manage the entire lifecycle of Kuiper products and services as we update them, and introduce new features and service interconnects. Key job responsibilities• Work with broad internal teams to execute the product and service launch playbook.• Clarify and drive project commitments as well as establish and maintain clear chains of accountability. Lead and facilitate launch meetings with key stakeholders, and create mechanisms for centralized reporting. • Anticipate changes and bottlenecks, provide escalation management, anticipate and make trade-offs that balance the business and operational needs or constraints to launch.• Proactively troubleshoot problems, resolve conflicts autonomously, and deliver results. • Manage outputs and reporting mechanisms for launch readiness across stakeholders.• Consolidate disclosure requirements and plans for stakeholders and partners. • Use continuous improvement methods to identify and optimize launches through new mechanisms.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.A day in the life The Kuiper Product Launch Manager role is critical to the success of bringing products to market in a methodical and thoughtful way. This highly visible role will manage multiple timelines and deliverables for multiple product marketing and management teams. Working closely with the Product Marketing Managers, they will collaborate with and manage these internal stakeholders and external agencies to ensure timelines are being met, blockers are being addressed, and proactively communicating what is needed to ensure a successful and on-time launch. The Product Launch Manager will maintain great visibility through the execution and management of regular product launch management meetings and checkpoints including messaging and creative reviews. The Product Launch Manager will also publish a weekly cadence of update emails/newsletters that ensure current statuses, blockers, needs, and deliverables are always in view of our product management, operations, business development, and marketing stakeholders.About the teamOur global team has a broad mix of experience levels and Amazon tenures, and we welcome fresh perspectives that will allow us to achieve our audacious goals. We're building an environment that celebrates knowledge sharing, mentorship and high-quality work. We embrace diversity of thought and love to test, learn and innovate across marketing disciplines.BASIC QUALIFICATIONS- 5+ years of professional non-internship marketing experience- Experience managing teams- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience driving direction and alignment with cross-functional teams ...

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 ...

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

Unlock the Future with Amazon Science!Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.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.Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.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- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Design, development and evaluation of highly innovative ML models for solving complex business problems.- Research and apply the latest ML techniques and best practices from both academia and industry.- Think about customers and how to improve the customer delivery experience.- Use and analytical techniques to create scalable solutions for business problems. BASIC QUALIFICATIONS- Are enrolled in a PhD- 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 programming in Java, C++, Python or related language- Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling ...

We at Amazon Pharmacy are on a mission to reinvent pharmacy and are committed to building world’s most customer-centric pharmacy experience. We do this by delivering secure, convenient and price competitive pharmacy experience. The central analytics and data platform team plays a pivotal role in enabling data based business decisions.Do you want to be in the forefront of engineering big data solutions that takes analytics at Amazon Pharmacy to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing needs in the analytical space? We are looking for a high-caliber Business Intelligence Engineer to be part of our data warehousing and analytics team. We are building real time analytical platforms using big data tools and AWS technologies.The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert on data modeling, ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. They are self-starters, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced team. Key job responsibilitiesPartner with Pharmacy business, tech and data science leadership to define and deliver a world-class data infrastructure supporting Amazon Pharmacy's continued growth and our mission to be Earth's Best Pharmacy. - Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users- Work with SDEs/other DEs to invent, design and build data solutions that are stable and performant.- Help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviewsAbout the teamWe accelerate business insights and data-driven innovation by providing trustworthy, intuitive, on-time and cost-efficient analytics and data engineering solutions. To accomplish our vision: (1) we provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data. (2) we leverage our position as a central data broker to identify and capitalize on opportunities for privacy and security improvements, cost reduction, and greater organizational efficiency (3) we continuously look ahead to identify common patterns in analytics and ‘pave the road’ for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally (4) we leverage our position as a central analytics team to surface key performance indicators for product and process improvements spanning across various pharmacy departments.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs part of the AGI team, an Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. An Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology. A day in the lifeAn Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable and high-performance products that require exceptional technical expertise, and a sound understanding of Machine Learning.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- Experience with Large Language Models (LLMs) or multimodal architectures ...

We are seeking a Business Analyst to support reporting and analytics for Haul International program . The candidate will play a key role in the development of key automation launch metrics, reports and insights using data visualization as needed. This candidate will be expected to be skilled in understanding finance needs, converting them to data analysis in tech system, having working knowledge of data availability in various sources, consolidating the data into standardized formats.The candidate will also be responsible for designing the P&L financial model, scaling data processes and reports, streamlining and simplifying financial workflows, as well as managing project timelines and deliverables.The successful candidate will be a self-starter who is comfortable with ambiguity and large datasets. They will have strong attention to detail, SQL skills, experience with statistical analysis tools, and the ability to clearly communicate and present data insights.Key job responsibilitiesBuild and maintain the key metrics and reports for financial automation launch for Global Logistic and Inbound Small Parcel.Monitor existing metrics as well as develop and propose new metrics, ensuring clear and efficient visibility into financial automation results for finance and stakeholders to facilitate further analysis.Collect, analyze, and interpret large datasets related to Global Logistic and Inbound Small Parcel AP transactions. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning.Design and implement a P&L reporting model to optimize financial workflows, enabling stakeholders to manage the business and make effective decisions.Continuously look for ways to streamline financial processes and workflows. Inform process owners of potential improvements and work collaboratively to implement changes.A day in the life· 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- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL ...

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilitiesCandidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As an applied scientist, you will also help coach/mentor junior scientists in the team.BASIC QUALIFICATIONS- 1+ years of programming in Java, C++, Python or related language experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- 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 ...

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 role 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.Key job responsibilitiesLead strategic initiatives related to network capacity within Amazon's various business units.Concentrate on optimizing and managing the flow of goods, information, or services within the supply chain network.Balance supply and demand, assess and improve the efficiency of distribution networks, warehouses, or logistics operations.Analyze and synthesize data to identify opportunities for enhancing customer experiences and operational efficiency in network capacity.Define metrics, develop program management mechanisms, and invent/simplify processes to drive decision-making in complex network capacity situations.Collaborate with stakeholders across different functions, influencing and facilitating agreements to achieve shared network capacity goals.Manage cross-functional network capacity initiatives, ensuring continuous improvement and adherence to lean philosophy at scale.Own a portfolio of cross-functional programs related to network capacity, driving performance improvement and efficiency in project delivery.Identify and deliver operational improvement opportunities in network capacity, focusing on inventory management, logistics strategy, and transportation optimization.Monitor and optimize key network capacity metrics to ensure the smooth flow of goods or services through the supply chain network.About the team-Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.-Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team.-Internship start dates will be between May-June 2025 for a 12-week, consecutive internship.-For more information, please visit https://amazon.jobs/content/en/career-programs/university/mba.BASIC QUALIFICATIONS- Are 18 years of age or older.- Work 40 hours/week minimum and commit to 12 week internship maximum.- Currently pursuing an MBA or Master's degree in supply chain, business, engineering, finance or related technical or quantitative field with a graduation conferral date between December 2025 and June 2026.- 3+ years of professional work and/or military experience which occurred after the completion of your undergraduate degree. ...

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

At Amazon, we use data analytics to understand and serve our customers better. Our goal is to anticipate and solve customer issues before they arise, using device and digital service data to identify pain points and improve our products daily.The Device, Digital & Alexa Support (D2AS) team focuses on Amazon's rapidly growing product lines. Since 2007, we've expanded from the Kindle e-reader to a range of devices including:- Fire tablets.- Fire TV and Fire TV Stick for streaming media.- Amazon Echo and Alexa-enabled devices for voice-controlled smart homes.These products offer customers access to millions of books, movies, TV shows, apps, and skills, with new features constantly being added.The Device, Digital and Alexa Support (D2AS) function is looking for a motivated individual with proven analytical skills and practical experience to join the Product Analytics team as a Business Intelligence Engineer. We are looking for an expert who can build and analyze data systems, spot important business pattern, create metrics that measure success and develop ways to validate our findings.This role combines technical skills with business insight. You'll use your experience in Business Intelligence (BI) to help us make smart, data-driven decisions. Your work will directly impact our ability to serve customers better and grow our business.Key job responsibilities- Engage closely with Engineers, Scientists, and Data Engineers on developing BI/analytics solutions to support customer facing CS products.- Support A/B experiment feature testing and analysis.- Build and analyze key metrics to uncover trends and root causes of issues.- Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.- Help define requirements around customer service interactions and establish actionable actionable insights.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamThe D2AS Product Analytics team is responsible for supporting a broad suite of customer and associate facing technical products. ChatBot, Forums, Screen Sharing, Dynamic Troubleshooting, Help App and Diagnostic Data Tools are built and maintained to help our customers get the help they need as efficiently as possible. The Product Analytics team contributes to this success by providing data, analysis and dashboard solutions to inform strategic product development and tactical feature rollouts. The team work closely with partners in Data Science and Data Engineering teams to feed new insights and features to our predictive ML solutions. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

As an Applied Scientist on our Learning and Development team, you will play a critical role in driving the design, development, and delivery of learning programs and initiatives aimed at enhancing leadership and associate development within the organization. You will leverage your expertise in learning science, data analysis, and statistical model design to create impactful learning journey roadmap that align with organizational goals and priorities.Key job responsibilities1) Research and Analysis:Conduct research on learning and development trends, theories, and best practices related to leadership and associate development.Analyze data to identify learning needs, performance gaps, and opportunities for improvement within the organization.Use data-driven insights to inform the design and implementation of learning interventions.2) Program Design and Development:Collaborate with cross-functional teams to develop comprehensive learning programs focused on leadership development and associate growth.Design learning experiences using evidence-based instructional strategies, adult learning principles, and innovative technologies.Create engaging and interactive learning materials, including e-learning modules, instructor-led workshops, and multimedia resources.3) Evaluation and Continuous Improvement:Develop evaluation frameworks to assess the effectiveness and impact of learning programs on leadership development and associate performance.Collect and analyze feedback from participants and stakeholders to identify strengths, areas for improvement, and future learning needs.Iterate on learning interventions based on evaluation results and feedback to continuously improve program outcomes.4) Thought Leadership and Collaboration:Serve as a subject matter expert on learning science, instructional design, and leadership development within the organization.Collaborate with stakeholders across the company to align learning initiatives with strategic priorities and business objectives.Share knowledge and best practices with colleagues to foster a culture of continuous learning and development.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Deep understanding of ML/Generative AI models ...

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 ...

Come build the future of entertainment with us! Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video Global Operations (PVGO) is a team that relentlessly works with partners and is responsible for ingesting content using both partner facing and internal technologies. We obsess over ensuring that every search, discovery and playback interaction with Prime Video is device agnostic, defect free and results in a high engagement experience for Customers. We collaborate with stakeholders across Prime Video to define, refine and uphold Prime Video’s Customer experience, Quality bar and metrics. PVGO plays an essential role at Prime Video, ensuring that the content that powers our vision to be the premier source of global entertainment, is complete and correct.We are a group of entertainment enthusiasts based out of USA, Japan, India, Spain, and Costa Rica; passionate about ensuring all our customers around the globe have access to the content they need, when they need it. We work closely with industry professionals, program and technology teams to ensure world-class coverage of key entertainment content, and proactively address content gaps before our customers notice them. We are looking for an analytical and results-oriented Business Analyst to help shape the future of Prime Video Global Operations. This is an exciting time to join, as we scale our coverage of international content, while maintaining a high bar for timeliness and quality.As a Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into operational health, and develop key KPI's from scratch. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own creation and management of large datasets, reports, dashboards and data pipelines. You will interact with internal program, product owners and technical teams to gather requirements, structure scalable and data-oriented solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytics insights into concrete, actionable recommendations for business or product improvement. If this sounds exciting to you, please read on.Key job responsibilities- Work on 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.- Retrieve and analyze large sets of data using Excel, SQL, and other data management systems.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Take ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Build and managing related key performance indicators (KPI's) to measure, control, and benchmark reporting processes.- Monitor existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.- Support cross-functional teams on the day-to-day execution of the existent program implementation.BASIC QUALIFICATIONS- 2+ years of business analyst, data analyst or similar role experience- 2+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 2+ years of business or financial analysis experience- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Intermediate skills using SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree or 4+ years of relevant professional experience ...

AWS Payments is seeking an Applied Scientist to drive high-impact science initiatives to help mitigate financial losses, create frictionless payment experience, minimize the cost of payment processing, and prevent abuses/exploitations of payment systems by bad actors. As an Applied Scientist within AWS Payments organization, your role is to leverage your strong background in Data Science and Machine Learning to build best-in-class payment risk assessment frameworks that enable efficient, data-driven decisions anytime, anywhere across payment lifecycle. You will analyze rich datasets at Amazon scale and provide insights to improve existing AI/ML solutions as well as drive new scientific initiatives that enhance the payments experience of millions of customers. This role requires a pragmatic technical leader who is comfortable navigating ambiguous environments and is capable of effectively summarizing complex data analysis and modeling results through clear verbal explanations and written documentations. The ideal candidate will have experience with machine learning models and applying science to various business contexts, especially experience in dealing with payments or financial services data. You will have to work with a group of other scientists, product managers and engineers and play an integral role in strategic decision-making. The right candidate will possess excellent business and communication skills, define business objectives and prioritize work across the team to support business outcomes, and develop solutions to key business problems.Key job responsibilities- Interact with product managers, business teams, and engineering teams to develop an understanding and domain knowledge of business requirements, processes and system structures.- Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization.- Develop scalable mathematical models to derive optimal or near-optimal solutions to existing and new challenges in the AWS payments space.- Improve upon existing methodologies by integrating new data sources, developing new models or algorithmic enhancements and fine-tuning model parameters.- Advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers.- Work closely with engineers to integrate prototypes into production systems.- Frame evaluation methods to monitor the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features.- Lead the project plan from a scientific perspective on product launches including identifying key milestones, potential risks and paths to mitigate risks.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 2+ years of data science experience with Master’s degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)- Expertise in using SQL for data analysis, reporting, and dashboarding. Working knowledge of web-scale data processing (e.g., PySpark).- Hands-on experience in predictive modeling and big data analysis. Strong coding and problem-solving skills in at least one programming language such as Python, R etc.- Proficiency in model development, model validation and model implementation for web-scale applications.- Ability to convey mathematical results to non-science stakeholders.- Excellent communication (verbal/written) and data presentation skills and demonstrated ability to successfully partner with business and technical teams.- Experience building data products incrementally and integrating and managing datasets from multiple sources.- Ability to deal with ambiguity and competing objectives in a fast-paced environment. ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.What we do:The Infrastructure Foundational Services team builds services and tools that manage devices such as hosts, power shelves, and others in Amazon. As an infrastructure services provider, we own the services and tools that Amazon uses to turn hardware into capacity that service teams across Amazon run their business on. What we do matters; every customer who uses Amazon's products is supported by the computing infrastructure we provide and we provide a way for customers to get the capacity they need and for the business team to responsibly manage growth and cost. Our products are used by internal software teams, we focus on minimizing the operational burden that other engineers experience when managing their infrastructure.What you will do: You will lead a team of talented engineers continue to enhance their services, adding more capability, reducing operational costs, and improve our customer's experience. Your top priority is to ensure you are developing a great organization, raising the bar on our software development practices and the customer experience using our tools. You will coordinate with other managers on the team to deliver tools that work seamlessly across the various disciplines in AWS.Why we need youAmazon and Amazon Web Services are growing at an incredible rate, inventing new technology to improve the life of our customers. At this scale we are constantly stretching the elasticity of the the cloud. Our mission to help make it easy for internal software teams to grow while working with other infrastructure and AWS teams to meet these needs. You will lead a team of talented engineers to deliver this end to end workflow and collaborate with your customers - including other developers, business partners, and finance teams. You will work with other engineers who have a passion for learning new technology and making your customer's lives better.We want your passion for making an end-to-end product. While we are doing a lot of automation here, you will be asked to solve problems at every layer of the stack. You will share your experiences with an organization that is eager to learn.Why you’ll love it: You’ll see all aspects of the Amazon business, from our Retail websites to our digital products to the inner workings of Amazon Web Services. You’ll work with massive data sets. You’ll improve the agility of our technical teams. You’ll be part of a growing, fast paced, and fun team. You’ll have ownership, not just responsibility; and you’ll define and execute processes to deliver both savings and productivity for AWS and Amazon.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.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Amazon Web Services (AWS) is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 5+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teams ...

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 ...

Lead the development of AI models to power Amazon's eCommerce ontology - a key source of product knowledge driving exceptional customer experiences. Applied Scientists in this role solve problems related to product classification, attribute extraction, ontology modeling, data integration and enrichment, and scalable knowledge services. It's challenging due to the vast scale, heterogeneous data sources, and evolving domains, but exciting for pushing boundaries in ML, NLP, and knowledge representation research.If you're passionate about driving innovation at scale, we want to hear from you!Key job responsibilities- Lead the research and development of novel AI solutions to enrich and curate Amazon's product ontology (Product Knowledge) at scale- Develop scalable data processing pipelines and architectures to ingest, transform, and enrich product data from various sources (seller listings, customer reviews, etc.)- Collaborate with engineers to design and implement robust services- Work closely with product managers, stakeholders, and subject matter experts to identify opportunities for innovation and drive the roadmap for Product Knowledge- Mentor and upskill junior scientists and engineers, fostering a culture of continuous learning and knowledge sharing- Communicate complex technical concepts and research findings effectively to diverse audiences, including leadership, cross-functional teams, and the wider scientific community- Stay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, and related fields, and identify opportunities to apply them to Product KnowledgeA day in the lifeThe Amazon product ontology is a structured knowledge base representing product types, attributes, classes, and relationships. It standardizes product data, enabling enhanced customer experiences through improved search and recommendations, streamlined selling processes, and internal data enrichment across Amazon's eCommerce ecosystem.You will work with following stakeholders:- Product Managers represent customer experiences and selling partner experiences- Category Leaders (e.g., apparel, electronics) provide domain knowledge and guidance as subject matter experts- Engineers build and maintain data pipelines and services in production- Ontologists design data models and define guidelines - Other Applied Scientists collaborate on research and innovationAbout the teamThe Product Knowledge team at Amazon is dedicated to creating the industry-standard eCommerce product and services ontology. Our diverse team of applied scientists, engineers, ontologists and subject matter experts build a comprehensive ontology enabling exceptional customer and selling partner experiences through high-quality, contextual product knowledge at scale.BASIC QUALIFICATIONS- 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 ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products 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!SB ResponseModel team's role is to support the prediction of Click Through Rates, View Rates, and Conversion Rates for Sponsored Brands. Our goal is to enhance advertising efficiency, improve the shopper experience, and promote SB product recognition. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations, facilitate business growth and promote technology innovation.As an Applied Scientist on this team, you will:- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- 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.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.Impact and Career GrowthYou 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 fundamentally 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.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 ...