Bellevue

Does the idea of creating technology solutions for delivering 11 Billion+ packages across the globe excite you? If yes, come join a fun-loving, diverse, and creative team at Amazon Last Mile! The vision of the team is "To create Earth’s safest, most adaptive, and efficient plans for Last Mile logistics". The Last Mile Delivery Technology team is instrumental in impacting customer satisfaction directly, by devising innovative ways to deliver packages quickly and cost-effectively to the customers, and at scale using Artificial Intelligence (AI), Machine Learning and Operations Research solutions. Last Mile Delivery Technology organization supports the design, planning and execution of last mile transportation for Amazon’s various parcel and grocery delivery programs. All these programs require a large number of decision support systems to operate at scale and serve our customers, spanning demand planning, jurisdiction planning, delivery channel and network design, capacity planning for on the road and under the roof at delivery stations, routing inputs and route optimization. While these decision support systems have thus far been approached through the lens of traditional optimization and machine learning, we are looking to re-envision this space and pursue Foundational AI research, to innovate and advance the state of these decision support systems. Specifically, we are looking to develop foundational models (including Large Language Models, Multimodal Language Models, Multimodal Models), and adaptations to serve last mile use cases. Beyond Amazon the work developed will spur new fundamental knowledge and innovation in the logistics space. We are looking for candidates with knowledge and experience in designing and developing state-of-art AI solutions (including development and application of advanced deep learning algorithms, foundational models, multimodal generative AI solutions, reinforcement learning), to join our team. Demonstrated experience scaling and optimizing the training and inference of these models, building real world solutions, to meet the customer use cases is preferred. Proven track record of publishing in major AI conferences and demonstrated experience working in industry will be preferred.Job Location : Bellevue WA or Austin TX.Key job responsibilitiesCandidates will be responsible for developing Foundational AI solutions, to serve the myriad of decision support use cases across last mile. In this role, you will be expected to define new research avenues, explore, adopt, and invent new machine learning techniques, implement scalable science and engineering solutions, contribute software to production systems, conduct rigorous experiments, publish results, influence technical and business leadership and ensuring that research is translated into practice. You will be working with a team of scientists and engineers, helping shape the strategic and tactical vision, and contribute hands on to foundational research efforts in last mile. A day in the lifeSitting at the core of Amazon’s Last Mile business, Routing and Planning (RaP) invents technology solutions that deliver toward the RaP vision: to create earth’s safest, most adaptive, and efficient plans for Last Mile logistics. RaP serves a diverse set of external and internal customers. For Amazon End Customers and transporters, we build solutions to deliver 11B packages and services to arrive at the right place and time, while meeting the growing preference for speed and precision. For internal customers, we build and delivery routing solutions Worldwide adding up to a $1B USD, across multiple amazon businesses ranging from Amazon Logistics, Amazon X-tra Large to Same/Sub-Same Day Deliveries, Fresh and Groceries etc using multiple mode of transports. If the opportunity to innovate, create and deliver first-time solutions alongside world-class engineers and scientists e.g. building a new delivery foundational model from scratch utilizing data at an unprecedented scale in the industry excites you, this is the place for you. About the teamThe Last Mile (LM) Science organization serves two primary functions: (1) maintaining and enhancing the components which provide the essential intelligence in nearly every LM system, and (2) creating the science which will enable the continued growth of Amazon in the future. The systems used on a daily basis by the Last Mile to deliver packages from the station to the customer’s doorstep contains embedded models developed by the science team, or relies on inputs derived from these models. These models determine how efficiently Amazon can serve its customers and at what cost.BASIC QUALIFICATIONS- 5+ years of building machine learning models or developing algorithms for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Experience with neural deep learning methods and machine learning ...

Are you seeking an environment where you can drive innovation? Do you want to apply inference, advanced statistical modeling and techniques to solve world's most challenging problems in? Do you want to play a crucial role in the future of Amazon's Retail business? Do you want to be a part of a journey that develops a new technology from scratch for answering critical business question in Amazon Retail?Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize acquisition, enable a number of purchase options, ensure great , store products so they are available for fast delivery, and minimize package frustration. The Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it.The SCOT Lab team within SCOT Forecasting is responsible for designing and executing the inference and experimentation systems that measure the impact of SCOT initiatives. We are looking for senior applied scientists to drive innovation in SCOT by developing/building a new scientific approach and pushing our system further upstream in the innovation process. Key responsibilities of a Research Scientist in IPC Lab include: - Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovation - Working with technical and non-technical customers to design experiments and communicate results - Collaborating with our dedicated software team to create production implementations for large-scale data analysis - Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business - Presenting research results to our internal research community - Leading training and informational sessions on our science and capabilities - Your contributions will be seen and recognized broadly within Amazon, contributing to the Amazon research corpus and patent portfolio.To help describe some of our challenges, we created a short video about at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / AgeBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Transform analytics at global scale with cutting-edge AI/ML and GenAI - Join the founding team of the Science Center of Excellence at ShipTech Analytics!Revolutionize transportation analytics worldwide by leveraging the latest AI/ML research and technologies at Amazon ShipTech Analytics (STA). As a Sr. Applied Scientist, you'll spearhead initiatives to tackle critical business challenges, optimizing operations and driving innovation across Amazon's massive transportation network.- Pioneer the flagship AI-programs, employing traditional ML and GenAI to derive insights and recommendations for crucial metrics like Delivery Estimate Accuracy (DEA)- Optimize business review processes at scale, directly impacting operations for 100K+ Amazonians worldwide- Collaborate with top minds in AI/ML, working on complex, high-impact problems in the transportation domain- Drive innovation and thought leadership in supply chain analytics, shaping the future of Amazon's logistics operations.We're seeking motivated, multi-talented individuals passionate about pushing the boundaries of AI/ML and GenAI in transportation analytics. Join the founding team of STA's Science Center of Excellence and leave your mark on Amazon's global logistics operations. Apply now for this unique opportunity to transform analytics at an unprecedented scale!Key job responsibilitiesYou will work closely with business/operations leaders, product managers, business intelligent engineers, software engineering leadership & senior engineers to build capabilities that transform our transportation analytics. This includes analyzing big data, building end-to-end analytics pipelines, prototype optimization/ML/simulation models, and launch production capabilities. You will have exposure to senior leadership as you communicate results and provide scientific guidance to the business. Your insights will be a key influencer of our product strategy and roadmap and your experimental research will inform our future investment areas.BASIC QUALIFICATIONS- 4+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon – Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth’s most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities* Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects.* Use SQL to query and analyze the data.* Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. * Use machine learning and analytical techniques to create scalable solutions for business problems.* Research and implement novel machine learning and statistical approaches.* Mentor junior scientists and interns by providing technical guidance for their projects.* Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits: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://amazon.jobs/en/internal/benefits/us-benefits-and-stock About the teamWhen a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with popular deep learning frameworks such as MxNet and Tensor Flow. ...

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

Amazon's Fulfilled by Amazon (FBA) Voice of Seller team seeks a Senior Business Analyst with a strong technical skill set and a proven ability to influence across multiple organizations. Over the last 20 years, the share of physical gross merchandise sales sold on Amazon by third-party Sellers has grown. With Sellers in multiple countries listing their products for sale on the Amazon Marketplace, these Sellers are increasingly critical to delivering on Amazon’s vision of offering the Earth’s largest selection and lowest prices.This role will work with science and marketplace business teams to build advanced models to reduce end to end supply chain costs for FBA Sellers. You will build bridges to explain variance in inventory at granular levels to drive appropriate action within FBA product, marketplace business teams, and FBA Sellers. This is an analytical role which will require you to work closely with science and Machine Learning teams. This role will expose you to Seller pain points and ability to reshape their experience by influencing product vision and roadmap to implement step change product ideas globally. This is an opportunity to work in a startup like environment within Amazon and we seek an analytics leader who is motivated by a fast-paced and highly entrepreneurial environment. If you have a passion for innovation, for thinking big to tackle ambiguous problems, for solving some of the biggest technical challenges in the industry, and for building elegant products that delight our customers, we need you!Key job responsibilities• Analyze seller experience trends and build engagement metrics for each marketplace. • Identify opportunities to improve supply chain efficiency and reduce end to end supply chain cost for Sellers. • Design seller facing experiments liaising with Product and Science teams. • Develop Key Performance Indicators that help measure experimental efficacies • Create actionable bridges to explain variances in seller behavior to expected experimentation outcomes. • Engage with stakeholders across marketplace business teams, capacity, S&OP and Finance teams to socialize FBA inbound and inventory KPIs • Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. • Support cross-functional teams on the day-to-day execution of the existent program implementation. • Monitor existent metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunitiesA day in the lifeAs a Sr. Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into the health and state of the FBA business. You will transform data for the millions of unique products involving hundreds of thousands of Selling Partners and tens of millions of customers around the world into actionable business information, make it accessible to stakeholders worldwide. You will communicate complex ideas to leadership so they are easily understood. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards, metadata modeling, pipeline development and monitoring. You will interact with leadership, scientists, program and product owners, and technical teams to gather requirements, structure scalable data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets.BASIC QUALIFICATIONS- Bachelor's degree in supply chain management, operations, engineering, analytics or related field- 5+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience with QuickSight dashboard and visual creation ...

This is an exciting opportunity to join a new emerging business in transportation. We are a startup team looking for a highly driven, entrepreneurial, analytical and customer-obsessed individual to help create and lead the Business Development strategy. The ideal candidate will be excited by launching a new program from the beginning of its life cycle, and will have familiarity with leading sales generation with both small and large customers. We are reinventing the approach to selling in this industry and looking for a candidate who can partner with Product Management and Tech as we challenge the status quo and invent on behalf of our customers.Key job responsibilities• Drive revenue, adoption and market segment share for our product• Earn trust of customers and recommend product solutions that fit their business needs• Measure performance, articulate root-cause analysis and make recommendations for improvement areas• Relay market needs and customer feedback to internal Amazon teams including Product Management and Technical• Create program goals and metrics, track progress and manage through obstacles to achieve your objectives• Assess risks, anticipate challenges and provide escalation management when necessary• Meet or exceed targets for customer and/or feature spend adoptionA day in the lifeEngage both internally and externally to Amazon to understand key customer painpoints, generate strategic and impactful solutions, and drive adoption via active sales tactics of your product line. BASIC QUALIFICATIONS- 5+ years of developing, negotiating and executing business agreements experience- 5+ years of professional or military experience- Bachelor's degree- Strong verbal and written communication skills with an ability to work and thrive in ambiguity, at a rapid work pace. ...

In Amazon Air (AIR), process driven techniques help us deliver smiles to both our internal and external customers daily. There are multiple ways to problem solve here, and we do it with consideration and respect for each other. We are diverse and united. Your thoughts, ideas, and contributions are highly valued here to solve any problem that we may encounter. There is no limit to how high you can “soar” here at Amazon Air!Amazon Air Cargo is looking for an experienced, self-starter Business Development Manager (BDM) to drive adoption of AIR's business-to-business (B2B) Air Cargo offering as an individual contributor. This is an exciting opportunity to drive exponential growth by building and scaling net new customer relationships. The ideal candidate will possess a proven track record of driving sales engagement. They will lead commercial sales activities including relationship management, pipeline management, prospecting, presenting capabilities, identifying opportunities, defining customer requirements, presenting solutions, building relationships, and retaining and expanding customers. The successful candidate will possess strong business acumen, negotiation skills, and subject matter expertise that enables them to drive specific engagement and interaction. They should also have a demonstrated ability to think strategically and analytically about business and product offerings, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus. US Based Benefit Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:- Medical, Dental, and Vision Coverage- Maternity and Parental Leave Options- Paid Time Off (PTO)- 401(k) PlanKey job responsibilities- Serve as a key contributor on the Cargo Management team, defining and delivering initiatives that expand the Cargo program- Manage working-level relationships across the organization- Coordinate Business and Financial Health Reviews to discuss business performance and new opportunities, as well as provide benchmarking data and insights- Identify workflow inefficiencies and work to formulate and implement operational improvements at the network level- Use expertise and judgment to select stakeholders to determine the right goals, inform decisions, and design long-term solutions- Communicate goals, roles, responsibilities, and desired outcomes to cross-functional project teams to gain buy-in and deliver programs- Manage and coordinate multiple project assignments that continuously improve customers’ experience and develop best in class air cargo capabilities- Address barriers through problem solving, communication, and active coordination with stakeholders- Work within time constraints to meet business critical needs (often managing multiple, time-sensitive and high priority initiatives simultaneously), while measuring and identifying activities performed and ensuring service requirements are met- Systematically escalate problems or variances in the operating plan to the relevant owners and teams, following through to resolution to ensure they are delivered- Prepare and deliver business reviews to senior leadership, updating on progress and roadblocks- Domestic travel, up to 30% of the timeBASIC QUALIFICATIONS- Bachelor's Degree- 5+ years experience in product management, business development, program management, or management consulting- Experience in sales with prospecting and qualifying new customers- Experience exceeding targets using a consultative, solutions focused approach- Experience in a start up environment- Experience in stakeholder management and influencing at all levels within an organization ...

Amazon Inbound Transportation Business Intelligence is seeking a candidate who is passionate about leveraging data to deliver actionable insights that impact business decisions to improve customer experience. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide. Because we strive for faster delivery to customers a successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and better customer experience.This role offers the opportunity to influence and drive a growing business area. The Senior Business Intelligence Engineer (Sr. BIE) will partner with various Amazon Inbound Transportation (AIT) teams to define, develop and manage the cross-functional strategy for U.S. domestic inbound transportation. They are accountable for identifying gaps and opportunities for improvements, and keeping stakeholders/leadership informed of progress. This person will also collaborate with a diverse set of stakeholders including product managers, program managers, data scientists, software development engineers and other partner teams across all regions and transportation modes of U.S. domestic inbound. The Sr. BIE will build the foundational data pipelines and data tables, analyze large data sets, prove and disprove hypothesis, automate solutions and build self-service dashboards and reports. This person consistently employs high judgment and makes data-driven decisions, leading by example and influencing the AIT BI team to do the same.Key job responsibilities- Develop and lead design and execution of reporting solution for AIT - Work with product managers, data engineers, data scientists, and software engineers to define reporting needs- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc.- Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision.- Mentor teammates, provide inputs in team and org level strategic planning, lead cross org discussionsA 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-stockAbout the teamAmazon Inbound Transportation (AIT) is responsible for optimizing cost-effective flow throughout Amazon’s inbound network while providing Amazon with greater control, performance, and inbound visibility. The AIT BI team within AIT is responsible for inbound data analytics and engineering support for the AIT org and various stakeholder and partner teams.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Amazon has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand and Inbound Forecasting: We forecast the demand and arrival of tens of millions of products. The forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for WW warehouses.We are looking for a Sr. Business Intelligence Engineer to lead the development of new tools to monitor and improve forecast health. You will do this by detecting, diagnosing and correcting forecast problems and generating metrics and insights. You will have the resources and tools to help you deliver this mission and support from partner teams like Data Engineering/Data Science/Product.A successful candidate will be customer obsessed - the Forecasting org has 50+ unique customers. You will need to balance long-term thinking with short-term actions. You will be comfortable navigating an ambiguous environment, know how to confirm and reconfirm assumptions, and be able to harmonize disparate points of view.Key job responsibilities- Develop solutions that utilize the highest standards of analytical rigor with data integrity to provide reporting against large, multi-dimensional datasets and multiple sources- Partner with scientists, engineers, product managers, and program managers to build and productionize forecasting metrics; perform analysis to identify the root cause of issues and generate actionable insights to guide the appropriate solution- Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting- Build internal and customer-facing dashboards to provide metrics and convey insights which highlight forecast performance and explain variance- Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, data modeling and finding synthesis, and communication of insights and recommendations- Mentor team members by coaching them on the analytics lifecycle, including identifying the optimal analytical method, building and automating the solution, and generating insights from the resultsA day in the life- Engage regularly with customers to identify and prioritize forecast improvement opportunities- Define and deliver a long-term vision to solve the customer's problems and improve forecast accuracy- Lead the definition and governance of key business metrics, and engineer data-driven processes that drive business value- Create and foster an environment that values and promotes an inclusive approach to problem solving and continuous learningAbout the teamWe are ASIN Forecasting Analytics Team. We monitor the ASIN demand and inbound inventory forecasts for Amazon Businesses WW. We report on historical forecast performance, the changes of future forecasts, and the health of future forecasts. We develop intervention models to correct forecasts when defects exist or for scenarios that are not addressed adequately by core models. In addition to forecast accuracy, we help manage forecast volatility.We partner with stakeholder teams to assess the future forecast against existing supply conditions. BASIC QUALIFICATIONS- 7+ years of professional or military experience- 6+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with AWS technologies- Master's degree in statistics, data science, or an equivalent quantitative field- Experience managing, analyzing and communicating results to senior leadership ...

Are you interested in diving deep into data and engineering the metrics model that drives continuous improvement for Amazon’s global delivery operations? Do you have solid problem solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then Middle Mile Technology is the team for you. We are part of building the world's fastest, most reliable, and lowest cost transportation network that provides customers the most control and are looking for a top notch Senior Business Intelligence Engineer. As an Amazon Senior Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of datasets at scale. 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. You should excel at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.Key job responsibilitiesKEY RESPONSIBILITIES - Design automated solutions for recurrent reporting (daily/weekly/monthly). - Design automated processes for in-depth analysis. - Design automated data control processes. - Collaborate with the software development teams to build solutions. - Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators. - Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs. - Participate in annual budgeting and forecasting efforts. - Perform monthly variance analysis and identify opportunities.BASIC QUALIFICATIONS- 5+ years of SQL experience- 5+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results ...

Amazon’s Global Supply Chain (GSC) is looking for a Business Intelligence Engineer for the Supply Chain Innovation (SCI) team. SCI plays an important role in defining and shaping Amazon’s inbound supply chain's long-term strategy. We are responsible for the incubation and execution of highly visible supply chain projects across low-cost storage, bulk fulfillment, inbound cross-docks, fast-deploy fulfillment, and network optimization. Our solutions address the needs of the inbound network in order to meet the speed, cost, and resiliency demands of our customers.In this role, you will be leveraging various analytic and visualization techniques to support data-driven storytelling, and look around corners to continuously raise the bar on our business insights capabilities. You will collaborate across supply chain and research science teams to meet the current and future needs of the business through data gathering, automation, standardization, and reporting.The ideal candidate is an individual with excellent analytical abilities and a creative mind to invent solutions in technical architecture, business process, and financial outcomes. The successful candidate will be a self-starter comfortable with ambiguity, who has a strong attention to detail, and enjoys working with large-scale data.Key job responsibilities- Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities, and present written and verbal analyses to drive improvements - Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling - Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentation - Develop an understanding of the broad range of Amazon’s data resources, which to use, how, and whenBASIC QUALIFICATIONS- 8+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

WW Ops Finance S&A team is seeking an experienced Senior BI Engineer with excellent ETL skills along with analytical abilities. Would you like to be part of team driving business intelligence strategies for one of the largest supply chain in the world and helping improve delivery experience for billions of Amazon customers worldwide? Come join us!Key job responsibilitiesThe ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's supply chain. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion. You need to be able to convey your ideas via clear and concise verbal and written communications. - Interact with business customers, gather requirements and deliver accurate, easy to use and scalable Business Intelligence solutions in AWS (Redshift, EMR, Glue, S3 etc), Quicksight/Quicksight Q, Python/R, and other Amazon proprietary BI tools - Build ETL, data pipeline jobs, appropriate aggregations, and automated delivery in SQL, Python/R, shell script. - Design data models on varied database platforms like Redshift, MySQL or object based data stores. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data set. Not afraid to deep dive in big data.A day in the lifeWithin this role you will have unique opportunities to work alongside engineers, product managers, data scientists, program managers and finance leaders to help build next gen analytics and data driven reporting supported via one of the largest finance data warehouses and/or datalake. You will be helping scale the supply chain cost allocation/analytics which spans across multiple geographies of North America and Europe. You will work closely with product managers to design and implement new cost allocation strategies, work with engineers across the transportation network to assess impact of new program rollouts & help build operational and anomaly detection reporting solutions. Amazon has a culture of being builders and you will get to use the latest technology stack offered via AWS and internal amazon tools to help scale big and fast. About the teamWW Ops Finance S&A (Standardization and Automation) is the central Data and BI team serving the Amazon supply chain and transportation finance organization. Our BI team owns multiple single source of truth data assets that are keys to initiatives to drive supply chain optimization and improve end-to-end profitability of Amazon store business.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

We are seeking a stellar program manager to join the Kuiper Global Service Compliance team, supporting Amazon’s Project Kuiper. Amazon’s Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesWe are looking for a program manager to partner closely with accounting, business, engineering, legal and tax partners to solve problems, drive alignment and assure functional requirements applicable to communication service providers are known and implemented across the globe. As a Program Manager for GSC, you will own key requirements implementation workstreams and deliver results that improve Kuiper’s commercialization processes. You will be the main point of contact for reviewing business requirements, and responding with functional requirements that support GSC's needs. You will intake complex issues, foster shared understanding by asking detailed questions about proposed implementation strategies, and drive clarity for the path forward. You will create the correct sense of urgency to optimize and drive adoption of critical mechanisms necessary to ensure Kuiper meets its obligations. You will maintain an up-to-date and holistic view of Kuiper’s communications service provider requirements and think in terms of immediate problem solving while also focusing on long-term operational excellence.BASIC QUALIFICATIONS- 6+ years of compliance, audit or risk management experience- Knowledge of Microsoft Office products and applications at an advanced level- Bachelor's degree or equivalent ...

Do you want to be part of an organization that is on the leading edge for operations, supply chain, and fulfillment design? The Rapid and Rural Logistics team is looking for a proven technical leader with extensive experience planning and managing the execution of large scale construction programs. As the R2L (Remote to Local) Construction Manager (CM), you will work with broad set of stakeholders including Real Estate, Operations, Design, Launch, Startup, Delivery Experience, Legal and Retail to take the fulfillment center design from concept through the hand off to Operations. This position requires a firm understanding of engineering, planning, program management, contract administration and operations.Travel required 60%This role requires a flexible schedule/shift/work area, including weekends, nights, and/or holidaysThis position based in Washington, but the team is open to hiring candidates in surrounding west coast states. Key job responsibilities • Lead the Request for Proposals (RFP) process and vetting qualified contractor proposals, assemble bid submissions and foster the selection of the design build contractors• Coordinate with the designers, building teams, cost estimators to establish proper project budget, scope and schedule. • Assist in obtaining the information and decisions needed from Amazon which are required to complete the construction drawings.• Manage approvals and permissions needed from the building Landlords• Act as a facilitator of information required for by internal Amazon functional teams (IT, Safety, Loss Prevention, Food Safety, Operations) • Perform duties as the primary Amazon representative on permitting required with authorities having jurisdiction • The CM will monitor and assist with all utility integrations such as phone service, electrical power, water, sewer • Schedule: The CM will be the principle schedule auditor on behalf of Amazon, monitor site production, determine target milestones, track and communicate progress • Develop capital appropriation requests and manage fiduciary responsibility for approved budgets• Perform site visits on a periodic basis to confirm schedule progress, attend contractor meetings and act as the single point of contact for Amazon for the general contractor partners• Review the contractor’s buyout, subcontracting, material purchase schedule and long lead orders. • Coordinate with the Amazon launch/startup teams regarding schedule and phased area turnover to insure coordination with all stakeholder functions• Audit the contractors punch list completion progress and manage on behalf of Amazon• The CM will direct the contractor through the document turnover and close out process • Coordinate with Amazon property management to transition the building facilities to their care• Lead continuous improvement and lessons learned efforts to improve standards, reduce costs and expedite timelines for construction programsBASIC QUALIFICATIONS- Bachelor's degree- 7+ years of project management, real estate development, architecture/design experience ...

Amazon Global Logistics is seeking an exceptional Senior Data Scientist to support pricing science for our imports business. This role will recommend, design, and deliver new pricing science innovations, collaborating closely with our larger science community, technology, data, and product teams.Key job responsibilities- Develop and implement advanced pricing models and algorithms for cross-border logistics operations- Analyze large datasets to identify patterns, trends, and opportunities for optimization- Collaborate with cross-functional teams to translate business requirements into data-driven solutions- Design and execute experiments to evaluate the impact of pricing strategies- Communicate complex analytical findings to stakeholders and leadership- Stay up-to-date with the latest developments in pricing science and logistics domainsA day in the lifeAs a Senior Data Scientist, you will play a pivotal role in driving pricing science innovations for Amazon's imports business. Your day will involve working closely with teams across the organization to understand business challenges, explore data, and develop cutting-edge solutions. You will leverage your expertise in data analysis, machine learning, and pricing strategies to uncover insights and drive impactful decisions. Additionally, you will have opportunities to present your findings, share your knowledge, and contribute to the overall growth of the pricing science community.About the teamAmazon Global Mile Science & Analytics drives multiple core and advanced science initiatives for Fulfillment by Amazon (FBA) and Retail. Our approach and technology are disruptive, challenging traditional approaches and changing the way the industry operates. We are passionate about pricing and cross-border logistics spaces, and we foster an environment of continuous learning and innovation.BASIC QUALIFICATIONS- 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- 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 or similar role involving data extraction, analysis, statistical modeling and communication 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. They will also help coach/mentor junior scientists in the team. 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- 5+ 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 data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- Experience with statistical models e.g. multinomial logistic regression- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Come and be a part of Amazon's amazing growth story! If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate team members, this might be the role for you! Amazon Supply Chain Optimization Technology (SCOT) powers Amazon’s fulfillment network, determining how much of a given product is needed at locations around the world in order to ensure product availability while maintaining optimal inventory levels at each storage location. This includes strategically placing vendor orders and moving inventory across our network to serve customer demand as quickly as possible at reduced cost. (Learn more about SCOT: http://bit.ly/amazon-scot)The Inventory Placement team is seeking for Sr Data Scientist with strong analytical and communication skills to join our team. As a Senior Data Scientist for Inventory Placement, you will be responsible for driving improvements in how our inventory is distributed, stored, and replenished across our supply chain network. Your expertise in machine learning, statistical modeling, and optimization will enable our system teams to make smarter, data-backed decisions to finally ensure that products are placed in the right locations, at the right time, and in the right quantities. You will work closely with cross-functional teams in supply chain, engineering, and product to create scalable solutions that improve inventory efficiency and reduce operational costs.Key job responsibilities- Analysis of large amounts of data from different parts of the supply chain and their associated business functions using SQL.- 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- Measure the impact of new features in our systems to own data driven decisions for future investments.- 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 (SQL, Python, R, etc.) for analyzing data and building statistical and machine learning models and algorithmsAbout the teamOur Inventory Placement team owns the systems that decide where in Amazon's fulfillment network to put inventory for the millions of products that Amazon sells. We build optimization models to make these placement decisions driven by signals such as forecasted customer demand, the cost and speed of shipping from each warehouse to each customer, and the available capacity at various points in our network. Inventory placement is central to achieving Amazon's objectives to minimize the cost of fulfillment while offering selection to customers at the fastest possible delivery speeds. Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning and optimization systems. We're simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon.BASIC QUALIFICATIONS- 5+ 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 New Construction & Launch Workplace Health and Safety Program Manager (WHS PM) will be responsible for partnering with the Launch and Engineering teams to manage the safety deliverables required when opening new sites. They will execute the new site safety start-up plan to help ensure the site successfully implements our company safety procedures and all applicable local and regional regulations. The New Construction & Launch WHS PM will coordinate safety start-up functions.- Manage and monitor the safety start-up plan for all new sites - Ensure Amazon buildings are designed and built compliant to regulatory and Amazon standards - Conduct design composite reviews for compliance with Amazon standards and regulatory requirements - Conduct site safety, health and environmental commissioning inspections. - Create and maintain punch lists with relevant teams. - Identify the required safety supplies for new site start-up. Assist in the procurement of the safety items. Set-up all site safety supplies onsite as needed - Perform regular analysis and risk assessment of new build processes and equipment for site safety improvements and continuous standards improvement - Develop safety commissioning lists with relevant teams - Set-up new site in all appropriate safety databases - Inspect and certify PIT equipment meets Amazon requirements - Schedule applicable Safety training for site Safety team and managers with a local trainer - Develop a positive working relationship with stakeholders involved throughout the project - Project Work for topics relating to the network - Maintain communication with Operational Directors and General Managers - Lead and influence cross functional teams as required to deliver safety centered processes and building designs - Review operations and determine the required site safety signageAmazon 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 responsibilitiesJob requires up to 75% travel to new launch sites during Construction phase through post launch visits. This role requires strong communication skills with stakeholders and senior leaders, written and verbal communication skills, self-motivation and strong organizational skills. This role requires tracking metrics to meet standard KPI's, delivering on self-obtained projects to improve design and reduce risk, and ability to work with 3P's as well as Operational teams.The New Construction & Launch WHS PM must demonstrate the ability to build trust and confidence with the Design, Engineering, Construction, Startup, Launch and New Site WHS teams. This individual must be an effective communicator and send clear, concise and consistent messages, both verbally and in writing. They will be required to possess excellent safety and relevant environmental and ergonomic knowledge and to demonstrate this expertise when working with Operations and Engineering teams.About the teamRole consists of building template review/design to ensure it meets regulatory requirements, all safety requirements, aligns with current Amazon Policies and Procedures, and Federal/State/Local jurisdiction requirements. The Program Manager will also be responsible for traveling to the site during construction to perform commissioning of equipment/building/modules/safety supplies. Post launch lessons learned, design changes, and module updates/changes will be documented and actioned. Collaboration with stakeholders to align on changes/improvements of design including risk assessments and risk reduction.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- Bachelor's degree in Safety Related field, Construction Safety or Engineering ...

At Amazon, we're working to be the most Customer-centric company on earth. One customer experience that we’re constantly looking to take to a new level is how to coordinate the delivery of their orders. Our goal is to exceed the expectations of all our customers by ensuring that their orders, no matter how large or small, are delivered where and when they need them, as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class service levels through the introduction of pioneering new logistics products and services, significantly complimented by entrepreneurs like Amazon Delivery Service Partners and Amazon Flex. Amazon Flex crowdsources independent contractors – called Delivery Partners (DPs) – to coordinate deliveries to our customers. With Amazon Flex, individuals can now be their own boss delivering Amazon packages. Amazon Flex is powered by a mobile app that works in concert with our advanced systems, allowing partners to sign in, grab an offer for a time, check out a map of the location, and more.The Worldwide Flex DP Experience team is looking for a dynamic and experienced Senior Driver Research Manager. The team relentlessly advocates on behalf of Amazon Flex DPs to continually improve their experience of delivering with Amazon Flex. We listen wherever DPs speak, and leverage data and anecdotes to influence the prioritization, creation, and refinement of products, program, policies and services designed to delight our DPs. This is a research role for a leader who can work independently on global quantitative and qualitative projects with diverse internal stakeholders across the business. The job will span E2E management of both custom projects sponsored by stakeholders to prepare for feature launches and monthly tracking studies that cover broad sentiment trends across the business.Key job responsibilities • Partner with business, marketing and operations stakeholders to define and execute custom research tools that improve the Amazon Flex Delivery Partner Experience. • Plan and conduct a regular cadence of focus groups and surveys at both strategic and highly tactical grains. • End-to-end ownership of key feedback mechanisms and insights; including deep dives with driver populations and other subgroups through the ongoing In-App Question program dataset. • Deliver holistic research studies to VP level audience and multiple product and technology teams, synthesizing inputs from multiple listening channels so that leadership can ingest single source of truth to prioritize resources in right areas. • Own operations for asking daily research questions from millions of drivers worldwide, enabling various quantitative insights for worldwide operations, program and tech teams.BASIC QUALIFICATIONS- 6+ years of professional non-internship marketing experience- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience building, executing and scaling cross-functional marketing programs- Experience communicating results to senior leadership- Experience using Microsoft Excel to manipulate and analyze data ...