Bellevue

Love aviation and technology? Want to help Amazon Air become the most innovative and customer-centric air cargo carrier? Then come soar with the Air Science and Tech team!As Customer Solutions Manager with the Air Science and Technology team, you will own the Salesforce-based Gateway Manager and Portal, supporting business-critical processes. You must be customer obsessed and work to provide the best possible support experience for our users. You will proactively engage with customers – both internal and external – to understand their business needs and deliver high-quality customer solutions, in a timely manner. You will evaluate existing system features/products for the business, drive enhancements in parallel with business maturity initiatives, deprecate features no longer applicable, and drive global quality improvement processes. An Amazon Sr. Customer Solutions Manager should work independently but also partner with other non-Salesforce savvy Product/Program Managers and developers on new projects to improve team efficiencies, customer experience, and usability across the organization.This role is an individual contributor position required to influence without authority to drive performance of an organic team of Salesforce professionals.Key job responsibilities- Manage the evaluation, prioritization, and delivery of platform-based solutions, to deliver benefits to our operational partner- Manage Salesforce instance including support requests and escalated administrative needs of users- Configure new and existing Salesforce features including user management, roles/profiles, permission sets, custom objects, new page layouts, custom fields, formula fields, validations, workflows rules, email templates, flows, Lightning pages, custom metadata types, custom settings- Focus on security, user efficiencies, solving business/customer issues, invent creative solutions, and ensure data accuracy across the system- Partner with global business stakeholders to proactively identify, drive, and build improvements, enhancements, and system customizations solving complex business problems by developing methods to monitor data quality and feature adoption- Understand customer, internal sales and partner development team needs and translate into robust business requirements for configuration and development- Drive communication efforts across relevant stakeholders through feature rollouts processes and launch announcements- Follow sandbox refresh strategy and system maintenance activities with minimum to no impact to sprint development and delivery- Maintain system documentationA day in the lifeThe Sr. Customer Solutions Manager will participate in Software Development Lifecycle, including Agile Sprint ceremonies (backlog grooming, sprint planning, daily standups, launch activities). You will interact with primary solution users, understand the business processes and help develop tech-based solutions that provide benefit to the business.About the teamAST is part of the Amazon Transportation Services (ATS) Tech organization and works with other ATS teams (Sort Tech, Transportation Core Tech) to deliver integrated solutions for Operations.BASIC QUALIFICATIONS- 5+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience- 2+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience- Bachelor's degree in science, technology, engineering, math, business or equivalent- Experience leading technical and non-technical transformation project teams with a proven ability to work across broad functional teams ...

Join Amazon's Global Logistics team as a Customer Success Manager II and drive transformative improvements for our diverse shipper community. In this pivotal role, you'll manage high-value shipper relationships, develop data-driven strategies, and collaborate across teams to enhance the overall shipping ecosystem. Your expertise will directly impact Amazon's shipper success program, contributing to our mission of revolutionizing e-commerce supply chains.Key job responsibilities- Manage a portfolio of high-value shippers, identifying growth opportunities through comprehensive assessments- Develop and implement data-driven strategies to boost shipper performance and product adoption- Collaborate with cross-functional teams to design innovative solutions for complex challenges- Analyze and present key performance metrics, providing strategic recommendations to stakeholders- Mentor team members and contribute to the evolution of our shipper success programA day in the lifeAs a Customer Success Manager II, you'll start your day reviewing shipper performance data and preparing for strategic meetings. You might collaborate with product teams to address a shipper's unique needs, then lead a workshop to help a key account optimize their operations. In the afternoon, you could mentor a junior colleague, analyze program metrics for a leadership presentation, or brainstorm new success strategies with your peers. Your day concludes by following up on critical shipper issues, ensuring their continued success and satisfaction.About the teamThe Global Logistics team is at the forefront of revolutionizing e-commerce supply chains. We're passionate about creating seamless, efficient logistics solutions that benefit both our shippers and customers. Our vision is to set new industry standards for customer success in the logistics space, constantly innovating and adapting to the evolving needs of the global marketplace.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- Bachelor's degree in Business, Supply Chain Management, or related field- 4+ years experience in customer success, consulting, or supply chain management- Demonstrated ability to manage complex customer relationships and drive measurable business improvements- Strong analytical skills with experience in data-driven decision making and problem-solving- Excellent communication and presentation skills, with the ability to influence stakeholders at various levels- Proficiency in project management methodologies and tools ...

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.Key job responsibilitiesDesign, implement and support an analytical data infrastructure using AWS technologiesBuild robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Lead architecture design and implementation of next generation BI solutionContinually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations in less than 200 milliseconds, given millions of customers and millions of products? Are you interested in working on delivering data to Machine Learning and data science, believing every customer should not have the same experience? Amazon has a role or you.As an Amazon.com Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be an expert in the architecture of DW solutions for the Enterprise using multiple technologies (RDBMS, Columnar, Cloud). You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of understanding manipulation, processing, and extracting value from large datasets.Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data setsExperience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2 and other big data technologiesExperience providing technical leadership and mentor other engineers for the best practices on the data engineering space.Strong ability to interact, communicate, present and influence within multiple levels of the organizationExcellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questionsA desire to work in a collaborative, intellectually curious environment.Key job responsibilities- Architecture design and implementation of next generation data pipelines and BI solutions.- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersA day in the lifeA Data Engineer works closely with business teams to identify opportunities and build efficient solutions using various platforms like Redshift,AWS,Spark etc1)They interface with business customers to gather requirements and build Data pipelines to drive key business decisions .2)Building scalable data pipelines and architecture while sourcing data from varied sources including APIs, File Systems, and RDBMS3) Monitoring and troubleshooting operational issues in data pipelinesAbout the teamWe enable sophisticated, fact-based decision making across Devices Sales and Marketing by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine customer obsession and trust.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell)- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model ...

At Amazon, we are committed to being the most customer-centric company on earth. The North American Transportation Services (NATS) team at Amazon is comprised of high-powered dynamic teams that are shaping network planning and execution through the development and application of innovative transportation and delivery management concepts.NATS Transportation Planning team is looking for a customer-focused, detail-oriented, experienced Data Engineer II to help us build an enterprise grade data lake with the latest AWS data services. This role is inherently cross-functional—this leader will work closely with business intelligence engineers, data scientists, software engineers, program management, design, operations, finance, legal, business development, customer service, and executive teams to support analytical framework with efficient data pipelines. As a Data Engineer, you will be responsible for architecture and engineering of data infrastructure across our systems of transportation planning, development, production and test. You will provide analytical support by managing data store, develop and track key performance indicators and help make data driven program decisions. This role will be designing and developing ingestion of data that will provide insights into our business health.Key job responsibilities- Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.- Partner with product, operational, and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.).- Able to read, write, and debug data processing and orchestration code written in Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)- Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via mechanisms.- Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.- Develop automated solutions to minimize manual processes with focus on efficiency and scalability.- Provide guidance on data stewardship for teams onboarding to the central data systems.BASIC QUALIFICATIONS- 5+ years of data engineering experience- 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- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with modern SQL data orchestration tools like DBT, Mode, and Airflow ...

Looking for a leader in the team that takes Data Infrastructure and Analytical models of North America Reliability Maintenance Engineering team to the next generation. If you are a solid analytical thinker, metrics driven decision maker and interested in collecting, storing large volumes of data, building analytical models, willing to solve problems with solutions that will meet the growing worldwide needs then Reliability Maintenance Engineering is the team for you. We are looking for top notch Data Engineers to be part of our world class business analytics team.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. He/she is an expert in data modeling, ETL design and business intelligence tools and passionately partners with the business stakeholders to identify strategic opportunities where improvements in data infrastructure has huge business impact. He/she is a self-starter, comfortable dealing with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.A day in the lifeAmazon 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) PlanIf 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! 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 building large-scale, high-throughput, 24x7 data systems ...

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.We are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. You will: - Develop and improve the current data architecture, data quality, monitoring and data availability. - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning - Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business. - Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers - Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse 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 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 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. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

At Amazon, we are working to be the most Customer-centric company on earth. If you would like to help us build an excellent delivery experience, this is your chance to make history. The Worldwide Delivery Experience team continues to innovate with delivery speed initiatives for customers with the objective ensuring Amazon continues to own ‘fast’ in the minds of our customers.The Worldwide DEX Team is looking for an experienced Engineer. As a Engineer, you will need to review technical , develop and enhance systems and pipelines supporting process optimization in reporting, planning, and controlling activities in EU Engineering Services, as well as integrate in-house infrastructure with partner systems. You should be an expert in the architecture of warehousing solutions, using multiple platforms and tools. In addition, you should have strong analytical skills and excel in the , creation, management, and business use of large sets, combining raw information from different sources. Similarly, you will be responsible for designing and implementing scalable extract, transform, and load () processes to support the rapidly growing and dynamic business demand for , and use it to deliver the as a service, which will have an immediate influence on day-to-day business decision making. Moreover, you will create automated alarming and dashboards to monitor integrity. Finally yet importantly, you should have very good communication skills and ability to adjust communication to different groups of stakeholders, collaborating with architects, BI engineers, scientists, business analysts/managers, to evaluate business needs and objectives in order to set up the best management environment. Overall, you will be the subject matter expert for the structures and usage, while striving for efficiency by aligning systems with business goals.*** This position is based in our Bellevue office ***Core responsibilities may include: - Design, implement and support an analytical infrastructure providing ad-hoc access to large datasets and computing power - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using and technologies - Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. - Enjoy working closely with your peers in a group of very smart and talented engineers. - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - Explore and learn the latest technologies to provide new capabilities and increase efficiencyBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Amazon Last Mile DSP is seeking an extraordinary Data Engineer to join the DSP Analytics team. At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon’s Service Partner (DSP) Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class experience through the introduction of pioneering new products and services in the last mile space. This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives related to safety of drivers. If you are passionate about technologies, strongly biased to go deep to find insights and build scalable real time analytical platform, relentless in ensuring quality and reliability, and feel comfortable communicating with different levels of leadership, you are the candidate we are looking for! You should have deep expertise in creating, managing, and utilizing large and small datasets across a variety of data platforms. You should have excellent business and interpersonal skills to work with business owners, understand their data requirements, and build scalable and robust data solutions. You should be an expert at crafting, implementing, and operating stable, scalable, and cost-effective solutions to manage data flow from multiple production systems. Above all, you should be passionate about working with data and enjoy bringing varied datasets together to answer business questions and drive growth. You will develop new engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to these architectures as needed. You will be responsible for designing and implementing complex data pipelines in Amazon's platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver data-driven insights that will have an immediate impact on day-to-day decision-making at Amazon.About the teamWe are the core Amazon DSP business intelligence team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.BASIC QUALIFICATIONS- 3+ years of data engineering experience- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of distributed systems as it pertains to data storage and computing- Experience with data modeling, warehousing and building ETL pipelines- Experience working on and delivering end to end projects independently- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby- Experience with Redshift, Oracle, NoSQL etc. ...

Over the past 20 years, Amazon has reinvented on behalf of customers and has become the largest internet retailer in the world. Amazon is now reinventing the global supply chain and international e-commerce and is recruiting a senior data engineer to help make this vision a reality. In this role, you will be responsible for the development and improvement of Workforce Planning Analytics platform used for planning, reporting, and forecasting purposes as well as dataset management. You will get the unique opportunity to work closely with a variety of stakeholders, including Business Analysts, Site Leads, and other Program Management teams. The candidate will also be in charge of driving strategic initiatives to improve reporting efficiency, develop new bridging workflow tools and establish new key performance metrics where appropriate. The ideal candidate will not only raise the bar on Data engineering skills but demonstrates a strong curiosity to understand the business end-to-end and be comfortable working with ambiguity. The candidate will also have an eye for detail, be proficient/advanced in SQL/DWH/Python and invent for solving data and reporting challenges. The role requires good communication skills with other functional teams. Key job responsibilities1. Design, implement and support an analytical data infrastructure using AWS technologies2. Build robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.3. Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.3. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.4. Lead architecture design and implementation of next generation BI solution5. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Over the past 20 years, Amazon has reinvented on behalf of customers and has become the largest internet retailer in the world. Amazon is now reinventing the global supply chain and international e-commerce and is recruiting a senior data engineer to help make this vision a reality. In this role, you will be responsible for the development and improvement of Workforce Planning Analytics platform used for planning, reporting, and forecasting purposes as well as dataset management. You will get the unique opportunity to work closely with a variety of stakeholders, including Business Analysts, Site Leads, and other Program Management teams. The candidate will also be in charge of driving strategic initiatives to improve reporting efficiency, develop new bridging workflow tools and establish new key performance metrics where appropriate.The ideal candidate will not only raise the bar on Data engineering skills but demonstrates a strong curiosity to understand the business end-to-end and be comfortable working with ambiguity. The candidate will also have an eye for detail, be proficient/advanced in SQL/DWH/Python and invent for solving data and reporting challenges. The role requires good communication skills with other functional teams.Key job responsibilities- Design, implement and support an analytical data infrastructure using AWS technologies- Build robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.- Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Lead architecture design and implementation of next generation BI solution- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.- To apply for this role, candidates must initiate an informational meeting with the hiring manager by clicking the “Request Informational” button at the top of the job listing. When you request informational your current manager will not be notified.- For more on informational discussions, visit: https://ivy-help-center.talent.a2z.com/article/2gLzMFp5I3TMfchHDv03w2?ref=share-button- To understand the internal transfer process and frequently asked questions, refer to: https://ivy-help-center.talent.a2z.com/article/5TdnwN6zJXjHvREhjtTdAJ?ref=share-buttonBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Do you love data? Do you want to learn new technologies? Join our OCEANS team and help shape the future of employee compensation at Amazon! Our job is to establish data definitions, conduct research, and launch products to support the Amazon Leadership Team and Consultants in making pay decisions for employees. As a Data Engineer on our team, you'll work with cutting-edge technologies and complex data environments. You'll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with analysts, data scientists, and software engineers to translate data into actionable insights.This role requires you to live at the intersection of data, software, and science. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue, MWAA, DataZone, and SageMaker. You will drive the development process from design to release. Key job responsibilities Managing data ingestion from heterogeneous data sources, with automated data quality checks. Creating scalable data models for effective data processing, storage, retrieval, and archiving. Using scripting for automation and tool development, which is scalable, reusable, and maintainable. Providing infrastructure for compensation analytics and science use cases. Using industry best practices in building CI/CD pipelines.About the teamJoin our team at Amazon, where data drives our global compensation strategy. As a cutting-edge business intelligence and analytics unit, we're shaping how Amazon compensates million+ employees worldwide. Our mission: to leverage advanced analytics in evaluating and scaling our annual pay policy, directly influencing the company's growth trajectory. If you're seeking a role with large-scale impact, we offer the opportunity to apply your analytical skills at the intersection of big data, human resources, and business strategy. Your work will revolutionize Amazon's compensation landscape, ensuring fair, competitive, and forward-thinking pay practices that support our company's continued success and expansion.BASIC QUALIFICATIONS- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- Experience with one or more scripting language (e.g., Python, KornShell, Scala)- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- 1+ years of data engineering experience ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place where people can find and buy anything online, this is your chance to make history. Come help us create innovative capabilities for Amazon's Associates, managers, and leaders to support the evolution of People eXperience and Technology (PXT).Our solutions give Amazon associates around the globe the flexibility to enrich their job experience through pay incentives and job mobility. We thrive on developing world-class experiences for associates worldwide to empower them to increase their income, explore job options, train, choose, and progress in their careers at Amazon. As a member of this team, you are changing people's lives by creating the tools that help them advance in their careers!The Workforce Solutions team builds and delivers world-class products/services for Amazon’s hourly associates. We are using modern technologies to solve complex human problems at scale. We deliver an engaging, intuitive, personalized experiences that empower employees to quickly take control of their work life anytime, anywhere.Do you love building data solutions at scale? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data problems, and partner with stakeholders to understand how to best design and implement data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Data engineers use technology to solve complex problems and get to see the impact of their work first-hand.The challenges data engineers solve for at Amazon are big and impact millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.At Amazon, you will grow into the high impact, person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.Key job responsibilities• Design, develop, implement, test, document, and operate large-scale, high-performant data structures for big data analytics.• Translate business requirements into robust, scalable, operable solutions that work well within the overall data architecture.• Solving complex problems by aggregating multiple large datasets to enable informed decision making.• Working with large datasets and developing big data pipelines that move data from source systems to data warehouses, S3 data lakes, and other data storage and processing systems using Big Data and Cloud technologies.• Implementing data structures using best practices in data modeling, ELT/ETL (Extract/Transform/Load) processes, using big data tools such as Spark, Hive, SQL, Apache Airflow, AWS Glue, EMR, Lambda, S3, Redshift and OLAP technologies.• Following software engineering best practices in writing code (using programming languages like Python, SQL and Scala), reviewing code with peers and testing for all related data processing systems.• Maintaining and optimizing infrastructure required to support scalable and high availability data lakes and data pipelines to store and process petabyte scale datasets.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

The Supply Chain Optimization Technologies (SCOT) team builds technology to automate and optimize Amazon’s supply chain of physical goods. We seek a Data Scientist with strong analytical and communication skills to join our team. SCOT manages Amazon's inventory under uncertainty of demand, pricing, promotions, supply, vendor lead times, and product life cycle. We optimize complex trade-offs between customer experience, inventory costs, fulfillment costs, fulfillment center capacity, etc. We develop sophisticated algorithms that involve learning from large amounts of data such as prices, promotions, similar products, and other data from our product catalog in order to automatically act on millions of dollars’ worth of inventory weekly and establish plans for tens of thousands of employees. As a Data Scientist, you will contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers both internally and externally.Key job responsibilitiesMajor responsibilities include: - Analysis of large amounts of data from different parts of the supply chain and their associated business functions - Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models - Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them - Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations - Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithmsA day in the lifeAs a Data Scientist in SCOT, you will be tasked to understand and work with cutting edge research to enable the implementation of sophisticated models on big data. As a successful data scientist in the SCOT team, you are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.About the teamHave you ever ordered a product on Amazon, and when that box-with-the-smile arrives, you wonder how it got to you so fast? Wondered where it came from and how much it would have cost Amazon? If so, Amazon’s Supply Chain Optimization Technologies (SCOT) team is for you. We build systems to peer into the future and estimate the distribution of tens of millions of products every week to Amazon’s warehouses in the most cost-effective way. This team focuses on saving hundreds of millions of dollars using cutting edge science, machine learning, and scalable distributed software on the Cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing, and supply. Watch this short video for more on SCOT: http://bit.ly/amazon-scotWithin SCOT, Fulfillment Optimization (FO) Simulations team provides a mechanism to evaluate the forward or backward-looking impact of a change to the input, logic, or configuration of outbound fulfillment systems in SCOT.FO Simulations integrates with production services that decide how Amazon fulfills customer orders and simulates multiple alternate realities to calculate the impact of changing algorithms and inputs, such as, the simulations capture the network effects of planning and execution decisions. The network effect is the idea that if we are simulating an altered network, where planning decisions are being made differently from what happens in production, we capture and accumulate the outcomes of those different decisions across the planning services. The standardized impact measurement focuses on key business metrics such as promise speed, fulfillment cost, volume flows and resource capacity consumption patterns.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- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Amazon is seeking a motivated candidate to provide insights into opportunities for operational improvement through analytics. Role will require analysis, understanding of the systems workflow, cross-functional communication and issues management.The successful candidate is passionate about optimizing business processes and performance metrics, and takes a driven approach to identifying and prioritizing the most impactful efforts. This role will also build tools and support structures needed to analyze, dive deep to determine root cause of system errors, network changes and performance issues. This role will need to present findings to business partners to drive improvements and prioritize customer needs to deliver the right results.Key job responsibilities- Design and implement scalable and reliable approaches to support or automate decision making throughout the business.- Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.- Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.- Acquire by building the necessary / ETL queries.- Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation.- Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.- Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators.- Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.- Build relationships with stakeholders and counterparts.A day in the lifeAs a Data Scientist in Global Logistics, you'll start your day by reviewing the latest operational data and identifying areas for improvement. You might collaborate with cross-functional teams to design experiments, build predictive models, or optimize existing algorithms. Throughout the day, you'll dive deep into data, uncovering insights that drive business decisions. You'll present your findings to leadership, translating complex analyses into actionable recommendations. Your work will directly impact Amazon's ability to deliver products efficiently and meet customer expectations.About the teamThe Global Logistics Data Science team is at the forefront of innovation, leveraging the latest technology and advanced analytics to revolutionize Amazon's supply chain. We're passionate about solving complex problems and driving continuous improvement in our logistics network. Our team values collaboration, creativity, and a relentless focus on customer satisfaction. Join us in shaping the future of global logistics through data-driven insights and technological innovation.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- 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 ...

Excited by Big Data, Machine Learning, and Predictive Software? Interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on Terabytes of Data?At Amazon Global Logistics (AGL), our vision is to become the carrier of choice for all of our Selling Partners' cross-border shipping needs, offering a complete set of end-to-end cross-border solutions from key manufacturing hubs to footprint countries, supporting businesses that use Amazon to grow their business globallKey job responsibilities- Utilize machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.- Analyze and extract relevant information from business data to help automate and optimize key processes.- Design, develop, and evaluate highly innovative models for predictive learning.- Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.- Research and implement novel machine learning and statistical approaches.A day in the lifeAs a Data Scientist III in the Business Insight team at Amazon Global Logistics, you will be responsible for developing state-of-the-art large-scale Machine Learning Services involving vast amounts of data and macroeconomic inputs. Your primary focus will be to produce robust forecasts to aid operational excellence and continue improving the customer experience.You will collaborate with cross-functional teams to understand seller behaviors and their impacts on demand generation, demand forecasting, pricing strategies, and asset utilization, especially in areas with variable demand. Your expertise in machine learning, data mining, and statistical techniques will be crucial in creating scalable solutions that drive business impact.About the teamThe Business Insight team at Amazon Global Logistics is dedicated to leveraging data and advanced analytics to drive operational excellence and enhance the customer experience. As we expand our global logistics operations, the need for solid understanding of seller behaviors, demand forecasting, pricing strategies, and asset utilization becomes increasingly vital.Our team comprises talented and experienced professionals who are passionate about applying innovative machine learning techniques to real-world problems and converting them into highly business-impacting solutions. We foster a collaborative environment that encourages creativity, continuous learning, and a strong commitment to delivering exceptional results.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- 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 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- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience- Experience with statistical models e.g. multinomial logistic regression ...

The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Data Scientist to join our top-notch cross-domain FBA science team. As a data scientist you will be responsible for generating data-driven insights influencing business directions and product/policy designs, building ML models to learn Seller and customer behaviors, and collaborating with business and software teams to solve key challenges facing the worldwide FBA Seller business, including 1) improving FBA Seller inventory efficiency, 2) efficiently balancing the supply and demand of FBA Seller capacity, 3) closing worldwide selection gap by enabling global selling profitability, and 4) driving out costs across the FBA supply chain to spin the flywheel. Unlike many companies who buy existing off-the-shelf planning systems, we are responsible for studying, designing, and building systems to suit Amazon’s needs. Our team members have an opportunity to be on the forefront of thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists and software developers in the business. This role will work with other senior and principal scientists, and partner with engineering and product teams to integrate scientific work into production systems.Key job responsibilitiesAs a member of the FBA science team, you will play an integral part in Amazon's FBA inventory management with the following technical and leadership responsibilities:• Solve real-world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.• Write code (Python, Scala, etc.) to analyze data and build innovative statistical and machine learning models to drive FBA growth and efficiency.• Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps• Retrieve, analyze, synthesize, and present historical data in a format that is immediately useful to answer specific questions, improve system performance, or support decision making.• Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.• Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.A day in the lifeAs a Data Scientist, you will solve real world large ML problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, building new and enhance existing ML models. You will work with Product Managers, Software Engineers, and other Scientists, to deeply understand FBA Seller business problems and priorities. You will lead the research where we are responsible for developing solutions to better manage and optimize worldwide FBA inventory capacity, while providing the best experience to our Sellers to growth their business. About the teamFulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, see their sales lift, and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years, sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the third-party supply chain. FBA sellers leverage Amazon’s expertise in machine learning, optimization, data analytics, econometrics, and market design to deliver the best inventory management experience to sellers. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.BASIC QUALIFICATIONS- Master's degree- 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 ...

Are you interested in helping build a world-class transportation network for Amazon as we delight our customers with more 1 day promises and also meet our sustainability targets ? Do you want to deliver products at scale influence the network design of one of the most complex transportation network in the world? Amazon Worldwide Operations is looking for a Data Scientist. The role will require modeling, auditing and optimizing our transportation network from our fulfillment centers to our last mile carriers who deliver packages to customers.To be successful in the role, you need strong analytical skills, excellent communication skills, ability to influence across business functions and manage stakeholders’ expectations effectively. You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with multiple business and technical teams.This position has the option to be located in Bellevue WA, Austin TX, Nashville TN, Santa Monica CA, Arlington VA, New York City NY, or Toronto CA. Key job responsibilities- Development of scalable data science solutions to audit and optimize our transportation network.- Development and execution of analytical tools to model our transportation network.- Contribute to the strategy for network design, prioritize technical and operational initiatives, evaluate and set stakeholders expectations.BASIC QUALIFICATIONS- 1+ 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/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience ...

Vehicles Programs & Engineering within Amazon’s Last Mile organization is looking for a Data Scientist to leverage Amazon’s vast amount of data to answer business critical questions on how best to maintain, utilize and operate our fleet of tens of thousands of vehicles. The Vehicle Programs and Engineering team works on Amazon's last-mile vehicle initiatives. The key partners to this team will include (but not be limited to) Finance, Analytics Team, Maintenance, Fleet Ops, Safety and Global teams. As a scientist on our team, you will develop and lead new technical solutions, influence business critical decision-making with massive scale, and influence multiple organizations and geographies.To be successful in this role, you'll need to wrangle messy data from internal and external sources, manage stakeholder priorities, and communicate technical concepts to both technical and non-technical audiences. You'll work on unique problem spaces to improve our fleet at a scale unmatched in industry and be able to see the impact of your work across organizations.Key job responsibilities- Provide strategic and tactical advice based on data insights to multiple business teams.- Build prototype and production intent forecasting and decision models- Engineer new solutions to analyze and interpret a variety of data sources (internal and 3rd party)- Leverage business acumen and technical expertise to create new performance metrics, uncover trends, and highlight root causes of issues- Manage multiple projects simultaneously- Work with product, technology, and analytics stakeholders to support organization wide goals- Communicate findings with senior leadership- Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products such as Glue, Redshift, Quicksight, and LambdaBASIC 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- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.- Simulation tools and methods ...

The North America Operations’ Workplace Health and Safety Team is looking for a Director to be a leader of leaders in the Amazon Logistics operational Business Unit to drive safety initiatives and business partnerships. This leader will lead the successful implementation of a comprehensive safety strategy to enable and promote safe and efficient workplace practices for thousands of employees across the North America Amazon Logistics (AMZL) Workplace Health and Safety (WHS) Organization.Workplace health and safety subject matter expertise (SME) and knowledge of OSHA, ANSI, and other standards are crucial. This leader needs to maintain agility and flexibility to ensure programs are put in place and adopted by Operations and WHS ensuring we are always doing what is right for the safety of our associates, contractors, and anyone coming onto our sites. Key job responsibilities• Management of safety strategy, delivering solutions that address operational safety and health issues across AMZL.• Ability to build trust and confidence with the Operations and World Wide WHS team and other stakeholders; influencing change through comprehensive risk assessments and safety data analysis.• Create clear, concise, and consistent communications. This individual will help teach and train their Business Unit Senior Operations and Senior Regional WHS Leaders in safety leadership and Amazon WHS policies and assist their regional teams in incorporating WHS standards at their sites.• Excellent knowledge of WHS program to include safety and ergonomics with the ability to demonstrate this expertise when working with Operations.• Responsible for leading a team of WHS Regional Managers in their Business Unit. This individual must create and execute leadership development plans for their team. Their WHS team must have expectations communicated and receive frequent and appropriate feedback. This individual must ensure they are executing to the core competencies of an Amazon WHS professional and demonstrates the ability to judge and assess WHS talent and select appropriate bench strength to current and future business needs.• Partner with leadership across all levels to provide direction, guidance and correction to teams and processesBASIC QUALIFICATIONS• Bachelor’s degree in EHS, business, engineering, or similar field • 10+ years of relevant experience in safety, compliance, and/or regulatory affairs, including experience developing and implementing safety strategies and programs • Experience hiring, developing and leading large diverse teams • Ability to travel 50-75% of the time ...