Seattle

We are seeking a talented and experienced Data Engineer II to join our Publisher Ad Server team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines and infrastructure that support our ad serving platform. You'll work closely with cross-functional teams to ensure data accuracy, reliability, and scalability to meet the growing demands of our digital advertising ecosystem.Key Responsibilities:1) Design and develop robust, scalable data pipelines to ingest, process, and analyze large volumes of advertising data from multiple sources.2) Optimize existing data models and create new ones to support ad serving, reporting, and analytics requirements.3) Implement and maintain data quality checks and monitoring systems to ensure data integrity and reliability.4) Collaborate with data scientists, analysts, and product managers to deliver actionable insights and drive data-driven decision making.5) Develop and maintain ETL processes using modern data engineering tools and technologies.6) Optimize query performance and data storage to improve system efficiency and reduce costs.7) Implement data security and privacy measures to ensure compliance with industry regulations (e.g., GDPR, CCPA).8) Contribute to the development of data architecture standards and best practices within the team.9) Troubleshoot and resolve complex data-related issues in a timely manner.10) Stay up-to-date with emerging technologies and industry trends in data engineering and ad tech.About the teamPAS (Publisher Ad Server) builds and operates services that empower 1P publishers to improve monetization, enhance user experience, and reduce infrastructure costs. We bias toward industry standards and flexible designs that allow publishers to invent on top of our solutions and interoperate with other advertising technology providers. Our domain covers core auction functionality and yield optimization across the stages of an ad auction: orchestrating bid requests, selecting ads, and logging events. Our science drives the PAS “smart default” algorithms, including low-latency “decision” algorithms for pacing, podding, dynamic allocation, and auctions during deal/ad selection.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of content. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. 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, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You will also have the opportunity to create white papers and build POCs. In this role, you will have the opportunity to build complex, high-performing, and scalable data products. In this role you will help scientists collect the latest worldwide video data, customer segments, and diverse signals of marketing impressions to support scaled forecasting tools. You will be working with a diverse group of economists and machine-learning researchers on business critical projects. Key job responsibilitiesInterface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL/python and AWS big data technologies such as EMR, Redshift.Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.Designing and implementing complex ETL pipelines by processing petabytes of data that empowers scientists in team to build large scale Machine Learning models.Work closely with Product Managers, Applied Scientists, and Economists in team to explore new data sources and build pipelines for same that expands existing ML models.Design and build Data products such as data-quality, anomaly detection and data governance.A day in the lifeThe mission of the Video Content Research team is to provide analytics and science to support customer-driven content decisions. We are product focused, so we build reliable, scalable, worldwide tools. We measure the long-run economic value of Prime Video, and we help define the strategies and support decisions to maximize this value. Our team values close collaboration, and we strive to constantly learning new machine-learning and cloud-computing technologies.About the teamOur team predicts how many customers will watch any new show that Amazon Studios is considering creating. We build complex data products to provide insights into customer segments worldwide and support scaled forecasting tools. We measure and forecasts the performance of our marketing campaigns, and how many new customers will our advertising spend drive. We collect diverse signals of marketing impressions and publish model outputs for driving key business decisions. We analyze key metrics that attract new Prime members. We build tools that measure the long-run value driven by customer engagement with our content.BASIC QUALIFICATIONS- 4+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets ...

WorldWide Amazon Stores FinTech (WWASFT) team is looking for an outstanding Data Engineer who is data-driven, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed. You have passion for technology. You are keen to leverage existing skills while trying new approaches. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms.As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. 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, machine learning models and ad-hoc data requests. 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 data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.Key job responsibilities- Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.- Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination. - Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.- Work closely with Product teams, Finance Teams, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.- Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)About the teamThe Worldwide Amazon Stores Finance Technology (WWASFT) team serves as the dedicated technology partner for Amazon's global Amazon Stores (AS) organization. Our mission is to deliver innovative technical solutions that empower Amazon Stores' financial and operational processes and systems. We are committed to providing cutting-edge tools and services to support over 4,000 Finance end-users across all Consumer and Operations finance verticals. Moreover, we own and maintain a suite of centralized fintech products that enable common financial activities such as planning, variance analysis, allocations, data management, analytics, reporting, and compliance and controllership functions.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...

The Device, Digital & Alexa Support (D2AS) team seeks a Data Scientist to drive our hiring process improvements. In this role, you will:- Lead modeling projects to enhance our hiring pipeline efficiency and candidate experience.- Develop data-driven insights to inform product decisions.- Design and conduct statistical experiments to uncover hiring optimization opportunities.- Create user-friendly analytical tools for our product team.The ideal candidate will have:- Strong leadership and project management skills.- Experience in data requirements gathering and statistical methodology development. - Ability to balance technical expertise with business acumen - Creativity in problem-solving, backed by statistical evidence.Your work will directly impact our ability to attract and retain top talent, ultimately benefiting our customers through improved support services. Join us in simplifying and enhancing our hiring process with data-driven solutions.Key job responsibilities- Design and run experiments, research new algorithms, and find new ways to improve hiring analytics to optimize the candidate and associate experience. - Research machine learning algorithms and implement by tailoring to business needs and test on large datasets. - Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. - Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality. - Foster culture of continuous engineering improvement through mentoring, feedback, and metrics. - Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce). - Providing analytical network support to improve quality and standard work results.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 teamWe at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products.Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Join Amazon's Global FP&A Technology (GFT) team as a Data Scientist, where you'll play a pivotal role in building the Future of FP&A operations through data-driven insights and advanced analytics. As part of GFT's mission to streamline, optimize, and drive financial excellence through technology, you'll work closely with Corporate FP&A teams and cross-functional stakeholders to develop scalable data science solutions that support strategic finance objectives. Your work will contribute directly to enhancing reporting, planning, cost allocations, and business enablement tools that empower finance teams across the organization. We are looking for a results-driven scientist to join our team in Seattle. You will be interacting FP&A teams, product managers, software engineers, data engineers, UX designers, and front end engineers to understand the key requirements, and lead the design and development of data science products and services. This is a great opportunity for anyone who is looking to drive the next generation of data science architecture, design, and development that scale and support the overall Amazon business growth and FP&A function.The key strategic objectives for this role include:- Work with the Corporate FP&A organization to provide data- and model-driven guidance and recommendations on business questions posed by leadership.- Interact with stakeholders, both technical and non-technical, to gather business requirements and translate them into concrete requirements for data science projects.- Identify opportunities to measure and improve productivity with the end goal of driving growth.- Own data science projects end-to-end, demonstrating skill in defining key research questions, working with multiple data sources, evaluating competing models, and interpreting and communicating results.If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, we want to talk to you!About the teamGFT team is a Finance Technology team within Corp FP&A. On our team, we enjoy a unique vantage point into everything happening within Amazon. As part of that, this role would be part of a team that is responsible for Company’s enterprise-wide financial planning & analytics environment. The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership. If you’re passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!BASIC QUALIFICATIONS- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 2+ years of data scientist experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Bachelor's degree- Experience applying theoretical models in an applied environment- Master's degree ...

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.In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, and last year, we reached 85% renewable energy across our business, and are on a path to power our operations with 100% renewable energy by 2025.We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. The company also announced its 2021 global water use efficiency (WUE) metric of 0.25 liters of water per kilowatt-hour, demonstrating AWS’s leadership in water efficiency among cloud providers. To learn more about AWS’s water+ commitment visit: Water Stewardship.Come join the team that is building the tools and innovative technology to manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farms.Key job responsibilitiesAs an data scientist, you will employ machine learning and analytics to create scalable solutions for problems in sustainable energy space. You will dissect large historical business data sets to enhance and streamline essential processes. You will partner with data and software teams to create models for predictive insights and establish automated methods for large data analysis.A day in the lifeTo learn more, you can visit: amazon sustainability in the cloudAbout the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse 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.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

The vision for Alexa is to be the world’s best personal assistant. Such an assistant will play a vital role in managing the communication lives of customers, from drafting communications to coordinating with people on behalf of customers. At Alexa Communications, we’re leveraging Generative AI to bring this vision to life.If you’re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. You will operate at the intersection of large language models, real time communications, voice and graphical user interfaces, and mixed reality to deliver cutting-edge features for end users.Come join us to invent the future of how millions of customers will communicate with and through their virtual AI assistants.Key job responsibilitiesThe Comms Experience Insights (CXI) team is looking for an experienced, self-driven, analytical, and strategic Data Scientist II. We are looking for an individual who is passionate about tying together huge amounts of data to answer complex stakeholder questions. You should have deep expertise in translating data into meaningful insights through collaboration with Data Engineers and Business Analysts. You should also have extensive experience in model fitting and explaining how the insights derived from those models impact a business. In this role, you will take data curated by a dedicated team of Data Engineers to conduct deep statistical analysis on usage trends.The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions, and be able to collaborate with Data Engineers and Business Analysts to analyze data that will answer those questions. The right candidate should have a solid understanding of how to curate the right datasets that can be used to train data models, and the desire to learn and implement new technologies and services to further a scalable, self-service model.BASIC QUALIFICATIONS- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 2+ years of data scientist experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Bachelor's degree- Experience applying theoretical models in an applied environment ...

The Data Scientist in NLP within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing, evaluating and deploying solutions based on large pretrained language models into conversational AI systems that can understand and communicate with customers in a natural and contextually appropriate manner. This involves model development in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model.Key job responsibilities• Define and implement robust HITL strategies to effectively expedite LLM models scaling process.• Collaborate with human annotators and subject matter experts to establish clear guidelines and quality control measures.• Analyze feedback loops and iterate on model performance to ensure continuous improvement.• Conduct in-depth analysis of large-scale conversational datasets to identify patterns, trends, and potential challenges.• Independently document methodologies, findings, and results in a clear and concise manner, ensuring reproducibility and knowledge sharing.• Collaborate with cross-functional teams, including applied scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms. • Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.• Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement. Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.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 environmentIf 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 teamJoin our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- 3+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science ...

The Data Scientist in NLP within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing, evaluating and deploying solutions based on large pretrained language models into conversational AI systems that can understand and communicate with customers in a natural and contextually appropriate manner. This involves model development in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model.Key job responsibilities1. Lead the development of LLM-based chatbots and conversational AI systems for customer service applications.2. Implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment.3. Collaborate with cross-functional teams, including applied scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.4. Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.5. Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.6. Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.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 environmentIf 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 teamJoin our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 5+ years of data scientist experience- Experience with unstructured textual data- Experience working with scientists, economists, software developers, or product managers- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Join the Amazon Web Services (AWS) Finance, Analytics, and Science Team! AWS is one of Amazon’s fastest growing businesses, serving millions of customers in more than 190 countries. We are reshaping the way global enterprises use information technology and we are powering the next generation of global business leaders. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.As a Data Scientist, you will be expected to work directly with senior management on key business problems. Scientists at Amazon use statistical and ML models to address complex problems, design and test hypotheses, and contribute to the design of automated systems. We are looking for a results-driven scientist to join our team in Seattle. The right candidate will work closely with other scientists, business leaders, business intelligence engineers, and data engineers.The key strategic objectives for this role include:- Work with the AWS SMGS organization to provide data- and model-driven guidance and recommendations on business questions posed by leadership.- Interact with stakeholders, both technical and non-technical, to gather business requirements and translate them into concrete requirements for data science projects- Identify opportunities to measure and improve productivity with the end goal of driving growth.- Own data science projects end-to-end, demonstrating skill in defining key research questions, working with multiple data sources, evaluating competing models, and interpreting and communicating results.If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, we want to talk to you!BASIC QUALIFICATIONS- 3+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Superior verbal and written communication skills, ability to convey rigorous mathematical concepts to non-experts ...

Are you looking for an opportunity to own a large-scale technology problem? Do you enjoy finding patterns and pushing the boundaries of current possibilities? Are you interested in building reliable and scalable systems that support Amazon's growth? If so, Amazon Devices and Services Finance Technology (FinTech) is the perfect place for you!ABOUT THE TEAMAmazon Devices and Services FinTech is the global team that designs and builds the financial planning and analysis tools for a wide variety of Devices` new and established organizations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play), this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.ABOUT THIS ROLEThe Amazon Devices and Services FinTech team is expanding our data science team that is building a forecasting solution for the Amazon Devices and Services Finance organization, and we are looking for a Data Scientist to join us.As a data scientist, you will dive deep into data from across Amazon's finance organization, extract new insights, drive investigations and algorithm development, and interface with technical and non-technical customers. You will leverage your data science expertise and communication skills to pivot between delivering science solutions, translating knowledge of finance and operational processes into forecasting models, and communicating insights and recommendations to audiences of varying levels of technical sophistication in support of specific business questions, root cause analysis, planning, and innovation for the future.Key job responsibilities- Create various forecasts, including but not limited to Operational Expenses, and drive adoption of these forecasts by various teams within Amazon for financial and operations planning- Continuously innovate through research and the application of the latest machine learning techniques to drive forecasting accuracy improvement- Perform exploratory data analysis to identify business opportunities and develop a plan to address them- Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations- Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance- Utilize code (Python, R, Scala, SQL, etc.) for analyzing data and building statistical and machine/deep learning modelsA day in the lifeIn a typical day as a data scientist at Amazon FinTech, you'll begin by delving into complex datasets, applying your technical expertise in feature engineering and exploratory data analysis to uncover valuable insights. You'll utilize both traditional time series forecasting techniques as well as more advanced machine learning algorithms to build accurate and reliable forecasting models that solve complex business problems like Operational Expense (OpEx) Forecasting. Collaboration with business, engineering, and partner teams is essential, as you'll translate your data-driven forecasts into actionable insights that align with strategic goals. Throughout the day, you'll innovate by adapting new forecasting methods, ensuring your solutions are stable, scalable, and fault-tolerant. Your strong communication skills and attention to detail will help you manage and integrate large datasets, solve unstructured problems, and drive projects to completion in a fast-paced, dynamic environment.Join us and be a part of our dynamic team, driving the future of financial technology at Amazon.BASIC QUALIFICATIONS- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 3+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

MULTIPLE POSITIONS AVAILABLECompany: AMAZON DATA SERVICES, INC.Position Title: DC Infra Eng IILocation: Seattle, WashingtonPosition Responsibilities:Produce Lifecycle Assessments of AWS Data Center global designs to quantify environmental impacts of our data centers. Understand the design and functionality of AWS data center globally. Work with Design Engineers, manufacturers, vendors, and contractors to identify designs, technologies and materials to reduce the carbon intensity in our current and next-generation AWS data center designs. Provide guidance to the Design Engineering teams for reducing carbon intensity in new data centers and support Field Engineering teams in evaluating upgrades to existing data centers. Integrate lower carbon options in building materials and systems into the AWS Basis of Design for current and next-gen data center design. Produce clear and concise documentation, such as detailed design specifications, white papers, and reports. Work on concurrent projects in multiple geographical regions and work with stakeholders across both technical and business functions. Interact with different teams responsible for all aspects of the data centers. Influence the development and implementation of sustainability practices in existing, new, and future data centers. Work on projects locally and globally.40 hours / week, 8:00am-5:00pm, Salary Range $116,800/ year to $160,000/year.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000BASIC QUALIFICATIONSPosition Requirements:Bachelor’s degree or foreign equivalent in Architecture, Engineering, Building Sciences, Urban Design, or a related field and two years of experience in the job offered or a related occupation. Must have two years of experience in the following skills: 1) experience developing whole building lifecycle analysis models for the built environment; 2) professional experience in data center, mission critical, or high-performance building design; 3) experience facilitating goal-setting sessions, coordinating with all design disciplines and internal/external stakeholders to formulate and develop design objectives/strategies; 4) experience with evaluation and maintenance of the carbon impact of changes to Basis of Design, building prototype designs, and template specifications – as well as development of low-carbon alternatives and designs in architectural systems and components; 5) experience performing necessary modifications of drawings and specifications as construction projects progress; and 6) experience conducting site visits and progress meetings to observe construction and site activities. Partial telecommuting permitted; employees will be required to report to office multiple days per week. Some positions may require domestic or international travel. #0000 ...

Data Engineer Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance be-tween your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• Design, implement, and support a platform providing secured access to large datasets.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Tune application and query performance using profiling tools and SQL.• Analyze and solve problems at their root, stepping back to understand the broader context.• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with SQL- Experience with data modeling, warehousing and building ETL pipelines ...

The Amazon Fresh Grocery team is excited to welcome a Demand Planner to our dynamic team, based in Seattle WA, New York, Arlington VA, Nashville TN, or Chicago IL.Join us at Amazon Fresh Grocery in reshaping the future of customer experiences and supply chain excellence. Your expertise will drive innovation, efficiency, and lasting impact.As a Demand Planner within the Amazon Fresh Grocery team, you will own analytical forecasting and demand planning. The successful candidate will have a passion for analytics, tactical process development, and a willingness to move fast and experiment often. You should feel comfortable with ambiguity, have strong attention to detail, and be motivated by a fast-paced environment. Additionally, you should be able to think big and dive deep into problems.Strong candidates will be self-starters, highly organized, and possess strong data extraction and analytical capabilities. You should feel comfortable using data to build scalable systems and processes that allow our business to grow. You will be expected to be thoughtful in your pursuit of results and thrive in a high energy environment where tactical and strategic activities are driven in parallel.Key job responsibilitiesA Demand Planner will: • Manage the demand and forecast for his category and vendors selection across network• Work in partnership with category, marketing and financial team to set optimal demand plans to meet topline goals• Inspect demand forecasts critically and challenge assumptions from business teams• Review historical trends, research demand drivers, prepare forecast data, develop statistical forecast models, and evaluate forecast results• Partner with internal teams to develop tools, automation, and process improvementsKey traits to succeed in this role: • Communicate ideas concisely to a wide variety of stakeholders for purposes ranging from informative to need for financial approvals from executives• Clearly define data requirements and metrics, strong analytical skills (comfortable with Excel and SQL)• High attention to detail and proven ability to manage multiple, competing priorities simultaneouslyBASIC QUALIFICATIONS- 3+ years of with Excel experience- 4+ years of supply chain, inventory management or project management experience- Bachelor's degree, or 3+ years of professional or military experience ...

Are you interested in a role that challenges both creative, technical, strategic and project management thinking? Do you enjoy a fast-paced workplace where you can improve the customer experience, exercise your entrepreneurial skills and be an instrumental part of Amazon's key shopping moments? If this sounds like you, join the Amazon Private Brands’ organization as a Project Manager for Detail Page. In this role you will act as the key business contact for all cross functional partner teams from project intake through to delivery and are ultimately responsible for keeping projects on track in scope and timely delivery. You will actively collaborate with senior leaders and cross functional creative teams, facilitating sign off for creative projects and support troubleshooting for execution. Key job responsibilities• Detail Page Project Management: Independently manages WW HPB & CPB detail page production and re-brand in collaboration with partner teams, including infographics and ASIN imaging end-to-end, provides inputs to identify opportunities to optimize processes, shorten timelines and use budgets more efficiently. As such is also responsible for onboarding product families into processes and manging the process alongside marketing manager.• Is responsible for managing creative timelines and resources effectively in collaboration with Creative Director• Process, development improvement & Offshoring: o Is responsible for working to develop and finalise process execution for end-to-end detail page re-brand for Amazon Basics in collabortation with partner teams.o Works alongside Senior Design Program Manager to identify opportunities for offshoring and process improvement:o Is responsible for detail page upload failures deep dives and trouble shooting, with the goal to standardize paths for resolution to offshore via SOPs.o Supports Senior Design Program Manager in asset uploads, tagging and manual work. As such, collaborates with Senior Design Program Manager to offshore manual tasks and actively manages partner relationships.A day in the lifeThe ideal candidate will have the ability to estimate the size of a project, prioritize and is able to put the right people in the room, exhibits a high degree of self-driven organization, with the ability to provide and maintain structure for competing, fast moving priorities. The candidate will be an effective, concise and clear communicator (verbal and written), with proven track record of effective meeting management and earning trust.BASIC QUALIFICATIONS• 4+ years of professional non-internship marketing experience• Experience in digital marketing and content production timelines and process• Experience managing or working within cross-functional marketing and creative teams• Experience in Lean Six Sigma, process mapping (Microsoft Visio), Kaizen, and other process optimisation tools• Experience working and contributing to project playbooks, building schedules, managing issues/risks, establishing communication plans and stakeholder management • Experience understanding needs of business and end customers and translating them into right solutions• Experience escalating issues, anticipating and making trade-offs, balance the business need versus other constraints and maximize business benefit while building great customer experiences • Proven track record of earning trust with peers, partners and senior leaders. • Experience in program/project management, preferably in a creative team. ...

Description: The Global Design team is looking for a creative, innovative, results-oriented Design Manager based in Seattle, WA or Arlington, VA who will be responsible for the design of post-occupancy tenant improvement projects in the Americas (AMER) portfolio. This role will join the Global Design team, reporting to the Senior Manager, Global Design, and will work closely with the Design & Construction (D&C) team, the Workplace Guidelines & Standards team and the Global Transformation & Insights team. This role will be responsible for the design of “post-occupancy” tenant improvement projects, which means updating, revising and evolving the design of a space where Amazonians are currently working. The project scope ranges from the design of several floors of a building to suit the needs and behaviors of a new team, to the design of smaller specialty spaces, to developing an overall design solution that can improve the workplace that can be applied to multiple projects (for example, an improvement to acoustics, lighting, or furniture). Over time, this role should gain familiarity with Amazon’s AMER corporate workplace portfolio in order to pro-actively identify and recommend design solutions for certain buildings or spaces. This role will work closely with the AMER D&C team and sub-consultants/vendors on project delivery. Day-to-day, this role will mainly collaborate with the AMER D&C Manager who is responsible for construction and delivery of the post-occupancy projects in the AMER portfolio, as well as the Global Design Team, including the Concept Design Lead and the AMER Design Manager responsible for “Day 1” or new build projects. Once projects are delivered, this role will work with the Workplace Guidelines & Standards team to indicate what design elements need to be integrated into the Guidelines & Standards, including producing visuals and narratives that can be translated and published as Guidelines. The successful candidate is an experienced, vibrant, and engaging professional who can communicate clearly at all levels, and yet is not afraid to dive deep into details. This role works autonomously and creatively in a fast-paced, ambiguous environment, and will be working on multiple projects, most of which have very tight delivery timelines. Attention to detail and ability to inspect issues and processes brings simplified solutions to complex problems is paramount. They should also understand the nuance of being approachable, while at the same time consultative. The candidate must be able to balance frugality with creativity in offering solutions and approach problem-solving with an emphasis on root cause.This is a Regional role focused on the Americas, so requires regional travel approximately 10-20% of the time. Key job responsibilitiesOversee and manage the design of post-occupancy tenant improvement projects, to include (1) leading the design of the space based on customer needs and technical requirements; (2) on some projects of a certain size/scale/priority, collaborate with an external/vendor design team (the Architect of Record) (3) align the design of each project to the overall concept for Corporate Workplace, as developed by the Global Design team; and (4) inform Guidelines and Standards team on design elements needed to translate into global functional Guidelines.. •Identify and implement continuous design refinement, leveraging operational data, customer insights, and success metrics to drive change. •Work cross functionally with regional peers to ensure a consistent experience for customers, whilst respecting local/cultural nuance. •Collaborate with GREF partner teams, including Regional Portfolio Management, Sustainability and Environmental Health and Safety, and Travel and Events, to elevate program deliverables and improve the quality of Amazon workspace with a focus on resiliency, efficiency, health, and safety. •Routinely connect to external industry, professional bodies and communities, ensuring new industry standards, best practices, technology, and innovations are adopted into the program. About the teamThe Global Real Estate and Facilities (GREF) team manages Amazon's real estate and facilities globally. It's organized into Regional Portfolio Management, Global Centers of Enablement, and Global Centers of Expertise. The Workplace Design and Construction division includes Global Design, Workplace Guidelines, and regional Design and Construction teams. These teams develop design concepts, implement workplace standards, and deliver various spaces across Amazon's portfolio. GREF emphasizes inclusive team culture, work-life balance, and career growth. The team values diversity, offers flexible working hours, and promotes knowledge sharing and mentorship. GREF strives to create spaces that support Amazonians' work while enhancing employee well-being and aligning with the company's strategic vision.BASIC QUALIFICATIONS- Bachelor's degree in Architecture, Interior Design, Design, Engineering or related professional experience.- Experience defining program requirements and using data and metrics to determine improvements.- 5+ years of design program management experience demonstrating progressive responsibility and increased scope in physical building (design/construction) programs ...

The Amazon Selling Partner Developer Services team is hiring for an experienced Mandarin Chinese speaking Risk Manager to drive and enhance compliance with program policies and to mitigate Selling Partner API (SP-API) related Developer risk. This position will play an integral role in managing both internal and external facing risk programs, building and maintaining relationships with internal stakeholders, reviewing data analytics to make informed decisions, and providing feedback to strengthen policies across a global team. The Risk Manager will work closely with Selling Partners, Developers, and Global Partner teams, as well as Legal Counsel and Tech teams to develop and support the continuous improvement of risk operations tools and resources.Key job responsibilities* Develop and continuously improve SP-API risk investigation program with collective feedback from cross-functional stakeholders* Work closely with internal tech development teams to improve customer experience of internal risk operations tools and resources* Develop and monitor stakeholder performance against applicable key performance indicators* Review data analytics from KPIs to provide guidance to make informed decisions on process or program improvements* Develop, integrate, and implement standardized tech and program solutions to increase compliance while reducing burden on associate workloadBASIC QUALIFICATIONS- 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience- Bachelor's degree or equivalent- Experience with SQL and Excel- Fluent speaking, writing and reading Mandarin Chinese and English ...

The Digital Marketing Manager is a key contributor to the most impactful and visible digital marketing campaigns executed by the AWS Americas Marketing team. This role will focus on delivering best-in-class digital experiences for AWS events and more. You will create and optimize scalable digital marketing processes, operationalize best practices, leverage new tools and platforms, oversee digital execution, and provide team leadership on complex digital tactics. This is a data-driven role that will influence marketing programs with strategic thought leadership and customer experience solutions to ensure campaign goals are met. The ideal candidate for this role will be equally analytical and creative, and have a proven track record leading teams in building and executing strategic lead generation events campaigns that drive new customer acquisition generate pipeline.Key job responsibilities- Lead execution of digital marketing campaigns including program/project management, build, QA, deployment, testing, and reporting.- Own the creation and optimization of email, landing page, and other digital marketing assets in Marketo, Splashthat, Adobe Experience Manager, and other martech tools.- Lead automation initiatives to improve processes and productivity, enabling the digital marketing team to scale with high bars on quality and efficiency.- Identify and share best practices for audience targeting and database hygiene, email/digital marketing strategy, events, tracking instrumentation and digital channel measurement.- Partner with other AWS Marketing teams to ensure campaign setup and execution process consistency with global practices, and to influence development and optimization of global practices based on Americas priorities.- Develop and analyze digital channel performance metrics to drive future marketing decisions and optimize lead acquisition and activation strategy.- Deliver clear, consistent, and frequent communication with Field Marketing and Events stakeholder to ensure ongoing clarity on strategy, tactics, goals, and performance for digital channels.About the teamABOUT AWS:Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 4+ years of professional non-internship marketing experience- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience managing or working within cross-functional marketing and creative teams- Experience creating visual assets for digital, mobile, and social- Experience building landing page and emails using Martech tools. ...

Are you a digital marketer that loves platforms and processes, and wants to make a global impact? Come join the team responsible for developing campaigns that promote AWS's priority solution themes & services and Tier 1 events! We centrally develop lead generation, adoption, and registration campaigns and collaborate with our regional marketing teams to deploy these campaigns globally.A Digital Marketing Manager on this team will utilize our platforms to execute on digital marketing programs that scale to multiple languages and regions globally, implement best practices, foster better customer experiences, and make continuous improvements based on data and insight. The ideal candidate has experience building and activating multi-channel marketing campaigns. You have baseline technical marketing expertise with contemporary marketing automation and project management platforms (Marketo and Workfront preferred) and solid experience in the email channel specifically.Key job responsibilities· Maintains the day-to-day management and optimization of our email channel and digital operations including the development, QA, deployment, and reporting for Global Campaigns and Tier 1 events (AWS Summits, Innovate, re:Inforce & re:Invent)· Collaborates with campaign leads, in-region Field Marketing Managers, Events Marketing, Product Marketing, platform owners, and other internal stakeholders to create the best digital experiences· Drives and makes recommendations regarding how to most effectively engage customers within digital channels (e.g. cadence, frequency, etc.)· Implements the targeting and customer segmentation for digital campaigns· Develops and executes test plans across all digital channels· Establishes and maintains scalable processes that ensure best practices for email, social channels, paid media, and internal reporting· Provides campaign performance, analysis and communicates and implements timely optimizations to drive results· Manages the maintenance of a library of assets and campaigns including asset hierarchy, asset management, etc.· Supports localization process for the campaign, including supporting Localization and Activation for international geographiesA day in the lifeThe Global Campaigns & Virtual Programs Digital Marketing Team are a group of platform and process experts that deliver our scaled programs for stakeholder teams globally and in upward of 12 supported languages. We over-index in Ownership, Earn Trust, Learn and Be Curious, and Invent & Simplify.The Digital Marketing Team sits within Global Campaigns & Virtual Programs under the Global Integrated Marketing organization at AWS. We are primarily responsible for the success of mid-funnel marketing activities.About the teamAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 2+ years of professional non-internship marketing experience- 1+ years of designing, building, and launching successful email engagement programs, specifically lifecycle/nurture programs experience- 1+ years of Salesforce, Tableau, Vidyard, and Excel experience ...

Expanding direct imports represents one of the greatest supply chain opportunities at Amazon. In this role, you will define our future vision deliver both near-term improvements and long-term results by expanding the product selection, improving availability, creating value for customers, and increasing competitive advantage. Core responsibilities of this role include: - Accelerating expansion of the direct imports program by implementing scalable processes to identify and on-board new import opportunities - Creating a cohesive and actionable roadmap for GLs by analyzing potential customer and financial implications of import process improvement opportunities, identifying and prioritizing the most promising areas for impact, and securing cross-team support to implement required changes - Partnering with category teams to identify root causes which create barriers to import expansion, then implementing robust plans to address - Uncovering challenges within the import process, and advocating on their behalf with internal stakeholders to optimize Amazon’s import process - Working closely with cross-functional teams to uncover savings opportunities throughout the supply chain and further optimize Amazon’s net landed costThe successful candidate will enjoy diving deep into data, identifying defects and opportunities, and designing/implementing long-term solutions in collaboration with retail, operations, and software development teams. The individual will thrive in a highly collaborative, analytical, creative, and fast-paced environment. The candidate must have the analytical horsepower to break down complex problems, and a strong will to get things done and deliver results no matter the obstacles. Finally, he or she must also be a strong communicator and influencer, with the ability to communicate concisely and effectively with senior leaders and multiple stakeholders to drive meaningful change. Needed Skills and Abilities: - Bias for Action and Deliver Results: Ability to successfully deliver projects from end-to-end, working with urgency through inevitable obstacles along the way - Are Right a Lot: Aptitude in identifying the most critical areas to drive impact and prioritizing those areas to deliver needed results. Demonstrated ability to discern “small” ideas from “big” ideas, and understanding of “one-way” versus “two-way” doors to ensure the organization moves quickly and decisively to deliver results. - Influence: Innovative leader with the ability to identify opportunities and influence multiple organizations to gain support and overcome resistance with data and persuasion - Strong Communication: Ability to communicate expectations and requirements equally well with business and technology teams, and capacity to write well-reasoned and data-driven proposals, performing independent data analysis as necessary - Analytical Problem Solving: Ability to utilize exceptional problem-solving skills to work through difficult challenges. You will not just work with, but also influence and drive action across a variety of stakeholders including senior business leaders, global inventory planning and transportation teams, vendor managers, and in-stock managers.BASIC QUALIFICATIONS- 5+ years of product or program management, product marketing, business development or technology experience- Bachelor's degree or equivalent- Experience owning/driving roadmap strategy and definition- Experience with end to end product delivery- Experience with feature delivery and tradeoffs of a product- Experience as a product manager or owner- Experience owning technology products ...