Bellevue

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) ...

Global Logistics (GL) Analytics team's vision is to create a centralized data lake across GL to empower stakeholders to make data-driven decisions and derive insights.We are looking for a Data Engineer with a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile, helping build a CI/CD infrastructure for scalable ETL pipelines used for business and operational performance on a daily basis. You will be working with Software Development teams in our organization to create a scalable framework for Data Instrumentation. Additionally, you will provide analytical support to BIEs, PMs, and other data roles. Design and develop data ingestion platforms that can handle large datasets at scale.Key job responsibilities- Manage and administer data platform built on AWS services such as Redshift, Kinesis, S3, Lambda etc- Develop and improve the current data architecture, data quality, monitoring and data availability- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers- Provide technical and thought leadership for Data Engineering and Business Intelligence within Global MileA 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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

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 ...

Have you ever ordered a product from Amazon and been amazed at how fast it gets to you?Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine. Our team in the Seattle office is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers.Key job responsibilitiesAs an Amazon.com Big Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large data-sets. 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 data-sets together to answer business questions and drive change.As a Big Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be part of a team that builds the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at Amazon.com.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) Plan 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!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.Platform Engineering & ServicesAFT’s Platform Engineering & Services team leverages data, process improvement, and innovative technologies to provide comprehensive engineering excellence services/solutions across AFT’s product portfolios.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 ...

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled individual to join our team. In this role, you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers.An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.Key job responsibilities - Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc. - Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security. - Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.A day in the lifeThis team is a dynamic group of data engineering and analytics professionals dedicated to developing innovative data products, providing data-driven services, and empowering the organization with robust business intelligence. Composed of talented individuals from diverse backgrounds, we foster a collaborative culture of excellence, knowledge-sharing, and collective problem-solving.We are committed to staying at the forefront of data trends, continuously expanding our expertise to deliver tailored solutions that address our stakeholders' evolving needs.About the teamAmazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.BASIC QUALIFICATIONS- Bachelor's degree- 3+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing- Experience working on and delivering end to end projects independently- Coding proficiency in at least one programming language (Python, Ruby, Java, etc) ...

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 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.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Project Kuiper is an initiative to increase global broadband access through a constellation of more than 3,000 satellites in low Earth orbit. Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world.Project Kuiper is seeking a Data Engineer to join our team and help us build an enterprise grade data lake/mesh hybrid with the latest AWS data services. This role will be a key member of the Kuiper Enterprise Technology team. You will work closely with peers across all Kuiper teams, including hardware, software, supply chain, manufacturing, launch, facilities, finance, compliance, and HR. You will employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, optimization models, statistical models, and simulations.As a Data Engineer, you will be responsible for architecture and engineering of data infrastructure across our systems of supply chain, development, production and test. You will provide analytical support for production optimization 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.).- 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.Export Control Requirements: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national.A day in the lifeThe ideal candidate has outstanding analytical abilities, excellent communication skills, a good business understanding, and is technically savvy. They are an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can interface between technical teams and business stakeholders. They can embrace an Agile development environment, promoting adaptability and responsiveness and demonstrate flexibility in responding to changing project requirements and priorities.About the teamHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has 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. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people. We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorshipBASIC 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 ...

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 ...

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 ...

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 Mission of Amazon's Artificial General Intelligence (AGI) team is to "Build world-class general-purpose intelligence services that benefits every Amazon business and humanity." Are you a data enthusiast? Are you a creative big thinker who is passionate about using data to direct decision making and solve complex and large-scale challenges? If so, then this position is for you! We are looking for a motivated individual with strong analytical and communication skills to join us.In this role, you will apply advanced analytics techniques, AI/ML, and statistical concepts to derive insights from massive datasets. The ideal candidate should have expertise in AI/ML, statistical analysis, and the ability to write code for building models and pipelines to automate data and analytics processing. They will help us design experiments, build models, and develop appropriate metrics to deeply understand the strengths and weaknesses of our systems. They will build dashboards to automate data collection and reporting of relevant data streams, providing leadership and stakeholders with transparency into our system's performance. They will turn their findings into actions by writing detailed reports and providing recommendations on where we should focus our efforts to have the largest customer impact. A successful candidate should be a self-starter, comfortable with ambiguity with strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment. The ideal candidate should possess excellent verbal and written communication skills, capable of effectively communicating results and insights to both technical and non-technical audiencesBASIC 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- 3+ 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 diving into data to discover hidden patterns and of conducting error/deviation analysis- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. ...

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 ...

Our team is seeking a DevOps Engineer to join a team that integrates and manages innovative solutions that lead to improvements in Last Mile network. Amazon transportation encompasses all of the operations that deliver worldwide shipments to and from our fulfillment centers and third party locations. This team provides on-call support on a rotation basis schedule among the team members. Your solutions will impact our customers directly! This job requires you to constantly hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks will define your success. Your problem solving skills and solutions will benefit customers directly, ensuring Amazon able to meet all its commitments to our customers. Primary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing monitoring solutions, performing software maintenance and configuration, implementing the fix for internally developed code (Perl, Ruby, C/C++, JAVA), performing SQL queries, updating, tracking and resolving technical challenges, build and develop tools which will automate daily operational activities. Responsibilities also include working alongside development on Amazon Corporate and Divisional software projects, updating/enhancing our current software, automation of support processes and documentation of our systems. This job requires you to constantly hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks will define your success. High Impact production issues often require coordination between multiple Development, Operations and IT Support groups, so you get to experience a breadth of impact with various groups. The ideal candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, able to juggle multiple tasks at once, work independently and can maintain professionalism under pressure. You must be able to identify problems before they happen and implement solutions that detect and prevent outages. Your ability to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done would have direct impact on Amazon Transportation's network efficiency.BASIC QUALIFICATIONS- 1+ years of technical support experience- Knowledge of web services, distributed systems, and web application development- Bachelor's degree in computer science or equivalent. ...

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 ...

Amazon is committed to exceeding customer expectations. In the Returns and Recommerce organization, we seek to improve customer satisfaction with the items they buy on Amazon, provide new value for our customers, and reduce costs to drive the holistic business flywheel. We are looking for a dynamic, resourceful, and organized Economist to join the Returns and Recommerce organization to develop new, data-driven solutions to support the most critical components of this rapidly scaling team.The Amazon R&R team has an opening for applied micro, empirical IO, and time series and forecasting with demonstrated industry, policy, or academic experience. You will apply economic theory to build econometric models, and prototype and put into production scalable implementations in partnership with technical teams, using Amazon’s world class data systems. You will be expected to be a thought leader as we chart new courses with our customer delivery support technologies. Successful candidates will have a deep knowledge of quantitative modelling in at least one area (ML, forecasting/time series, optimization, causal modeling), the ability to build and refine models that can be implemented in production, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long-term problems.Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company. The economics community at Amazon has grown tremendously in the past few years – economists in Amazon R&R partner with economists company-wide to tackle some of the hardest problems at Amazon.As part of the R&R organization, you’ll partner closely with Science, Product, Tech, and Program teams to design innovative solutions to organizational and business problems, communicating highly complex findings to multiple audiences. The ability to understand and measure policy effects and then integrate them into downstream optimization systems is a highly valuable asset. You may come from any one of a variety of econometric backgrounds, but you must be comfortable with multiple modeling techniques, be able to acquire new techniques with practice, and be willing to show flexibility in finding the right technique to match the research problem. Our economists will be comfortable with both ambiguity and autonomy, and excel at investigative analyses. Key job responsibilitiesKey Responsibilities:- Conceptualize and lead global research initiatives in the Returns and Recommerce space- Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects- Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results- Functionally decompose complex problems into simple, straight-forward solutionsBASIC QUALIFICATIONS- PhD in economics or equivalent ...

As a Workplace Health & Safety Real Estate Due Diligence & Remediation Manager, you will be responsible for partnering with various stakeholders and teams to support real estate transactions. You will perform transaction related due diligence, scope and manage remediation projects, develop Amazon standards and policy, and implement and execute the requirements of the program. In this role, you will assist in managing these programs at the corporate level and ensure that risks and liabilities are appropriately evaluated and mitigated as a part of our transactions.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) 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!Key job responsibilitiesTo be successful in this role, you will possess exceptional organizational and communication skills and be able to send clear, concise and consistent messages, both verbally and in writing. You possess site assessment and investigation program knowledge, understand the regulatory environment, and demonstrate this expertise when working with internal and external teams.Key job responsibilitiesResponsibilities:Provide a single point of contact to transaction teams to support them on understanding and executing Amazon’s due diligence program.Complete reviews of due diligence-related information including Phase I and Phase II Environmental Site Assessments, historical reports, regulatory agency assessments, health-risk assessments and vapor mitigation plans.Evaluate and investigate potential exposure risks from building materials or property conditions including but not limited to asbestos containing materials, lead-based paint, and vapor intrusion.Scope and manage phase II site investigations.Perform Vapor Intrusion Screenings and Health Risk Assessments.Provide support and training to a wide range of teams and partners to increase knowledge and efficiency.Draft mitigation plans for construction management of contaminated soil and groundwater as required during our renovation activities.Oversee design and installation of sub-slab depressurization systems and/or other mitigation such as enhanced ventilation as needed for sites with vapor intrusion issues.Liaise with Real Estate, Legal, Construction and Launch teams about required mitigation and ongoing oversight and management so that business may use contaminated sites.Provide review and feedback for work performed by contractors, developers, and consultants.Assist RE legal with drafting protective language concerning hazardous materials and pre-existing contamination.Represent Amazon at appropriate levels with property owners and their representatives, consultants, and legal advisors to maintain and develop professional and effective relationships.Provide review and feedback for work performed by contractors, developers, and consultants.Demonstrate that you can prioritize and lead multiple projects and assignments concurrently.Represent Amazon at appropriate levels with property owners and their representatives, consultants, and legal advisors to maintain and develop professional and effective relationships.BASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience using data and metrics to determine and drive improvements- Experience owning program strategy, end to end delivery, and communicating results to senior leadership- A Bachelor’s Degree in Geology, Environmental Science, Chemistry, Chemical or Environmental Engineering, or related field of study.- Experience serving as a technical expert.- Possess knowledge and experience of ASTM Phase I standards and other environmental protocols, understand core business and legal concepts of business transactions, with continued interest in working on transactions.- Understand core business and legal concepts of real estate business transactions, with continued interest in working on transactions.- Experience in development and implementation of environmental standards and policies. ...

As a Workplace Health & Safety Real Estate Due Diligence & Remediation Manager, you will be responsible for partnering with various stakeholders and teams to support real estate transactions. You will perform transaction related due diligence, scope and manage remediation projects, develop Amazon standards and policy, and implement and execute the requirements of the program. In this role, you will assist in managing these programs at the corporate level and ensure that risks and liabilities are appropriately evaluated and mitigated as a part of our transactions.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) 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!Key job responsibilitiesTo be successful in this role, you will possess exceptional organizational and communication skills and be able to send clear, concise and consistent messages, both verbally and in writing. You possess site assessment and investigation program knowledge, understand the regulatory environment, and demonstrate this expertise when working with internal and external teams.Responsibilities:Provide a single point of contact to transaction teams to support them on understanding and executing Amazon’s due diligence program.Complete reviews of due diligence-related information including Phase I and Phase II Environmental Site Assessments, historical reports, regulatory agency assessments, health-risk assessments and vapor mitigation plans.Evaluate and investigate potential exposure risks from building materials or property conditions including but not limited to asbestos containing materials, lead-based paint, and vapor intrusion.Scope and manage phase II site investigations.Perform Vapor Intrusion Screenings and Health Risk Assessments.Provide support and training to a wide range of teams and partners to increase knowledge and efficiency.Draft mitigation plans for construction management of contaminated soil and groundwater as required during our renovation activities.Oversee design and installation of sub-slab depressurization systems and/or other mitigation such as enhanced ventilation as needed for sites with vapor intrusion issues.Liaise with Real Estate, Legal, Construction and Launch teams about required mitigation and ongoing oversight and management so that business may use contaminated sites.Provide review and feedback for work performed by contractors, developers, and consultants.Assist RE legal with drafting protective language concerning hazardous materials and pre-existing contamination.Represent Amazon at appropriate levels with property owners and their representatives, consultants, and legal advisors to maintain and develop professional and effective relationships.Provide review and feedback for work performed by contractors, developers, and consultants.Demonstrate that you can prioritize and lead multiple projects and assignments concurrently.Represent Amazon at appropriate levels with property owners and their representatives, consultants, and legal advisors to maintain and develop professional and effective relationships.BASIC QUALIFICATIONS- 6+ years of due diligence & remediation experience or risk management or contamination management- A Bachelor’s Degree in Geology, Environmental Science, Chemistry, Chemical or Environmental Engineering, or related field of studyExperience serving as a technical expert.- Possess knowledge and experience of ASTM Phase I standards and other environmental protocols, understand core business and legal concepts of business transactions, with continued interest in working on transactions.- Understand core business and legal concepts of real estate business transactions, with continued interest in working on transactions.- Experience in development and implementation of environmental standards and policies. ...