Bellevue

AI for Domains (AIDO) team is part of Alexa Conversational Assistant Services organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for talented and experienced science leader in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have solid technical background and extensive experience in leading projects and technical teams. The ideal candidate would also have experiences in developing natural language processing systems (particularly LLM based systems) for industry applications, enjoy operating in highly dynamic and ambiguous environments, be self-motivated to take on challenging problems to deliver customer impact.Key job responsibilitiesAs a Senior Applied Scientist, you will: * Build a strong and coherent team with particular focus on sciences and innovations in LLM technologies for conversation AI applications* Serve as a technical lead on demanding and cross-team projects, and effectively collaborating with multiple cross-organizational teams* Apply technical influence on partner teams, increasing their productivity by sharing your deep knowledgeBASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics, or a related field.- Solid ML background and familiar with standard NLU, NLG, and LLM techniques ...

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a cutting-edge product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Scientist to join our Applied AI team to work on LLM-based solutions. We are seeking an experienced Scientist who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in building highly scalable systems and system design, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Key job responsibilitiesYou will be responsible for developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. You will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. A day in the lifeOn our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. BASIC QUALIFICATIONS- 4+ 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 ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs a Senior Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of audio technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in speech/audio/music domains.About the teamOur team has a mission to push the envelope of AGI in speech/audio/music domains, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ 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- Experience with LLM model training and tuning ...

Amazon is looking for world class senior applied scientist to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions across different domains and computation platforms. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ 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 ...

Why this job is awesome?This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.You will have a chance to develop the state-of-art machine learning, including deep learning and reinforcement learning models, to build targeting, recommendation, and optimization services to impact millions of Amazon customers.- Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site?- Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems?- Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company?- Do you like to innovate and simplify?If yes, then you may be a great fit to join the DEX AI team.Key job responsibilities- Research and implement machine learning techniques to create scalable and effective models in Delivery Experience (DEX) systems- Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites.- Design and develop highly innovative machine learning and deep learning models for big data.- Build state-of-art ranking and recommendations models and apply to Amazon search engine.- Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationBASIC 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 ...

At Amazon's FinTech organization, we are seeking a Senior Applied Scientist to spearhead the development of cutting-edge Generative AI applications that will redefine the financial services industry. You will harness the transformative power of Large Language Models (LLMs) and multi-agent architectures to drive disruptive innovation across Finance domains such as fraud prevention, financial forecasting, and insurance. Because of our scale, your products will have hundreds of millions of dollars of impact. You will collaborate closely with cross-functional business and engineering teams to identify and deliver high-impact use cases for Generative AI. You will design, develop, and evaluate Generative AI models and agents. You will partner with engineering teams to ensure seamless model deployment and integration into production systems, while also driving continued scientific innovation as a published thought leader and practitioner.You will mentor and develop junior scientists and engineers, fostering a culture of continuous learning and improvement. You will contribute to the broader research community by publishing your work in peer-reviewed conferences and journals.Check out this AWS Blog for some of our recent work in LLMs for financial application: https://aws.amazon.com/blogs/machine-learning/efficient-continual-pre-training-llms-for-financial-domains/Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in our careers.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 5+ 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 ...

The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Senior Applied Scientist, with expertise in machine learning (ML) and a proven record of solving business problems through scalable ML solutions, to join our top-notch cross-domain FBA science team. We want to learn seller behavior, understand seller experience, build automated LLM-based solutions to sellers, design seller policies and incentives, and develop science products and services that empower third-party sellers to grow their businesses. We also predict potentially costly defects that may occur during packing, shipping, receiving and storing the inventory. We aim to prevent such defects before occurring while we are also fulfilling customer demand as quickly and efficiently as possible, in addition to managing returns and reimbursements. To do so, we build and innovate science solutions at the intersection of ML, statistics, economics, operations research, and data analytics. As a senior applied scientist, you will propose and deploy solutions that draw from a range of scientific areas such as supervised and unsupervised learning, recommendation systems, statistical learning, LLMs, and reinforcement learning. This role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate scientific work into production systems.Key job responsibilitiesAs a senior member of the science team, you will- play an integral role in building Amazon's FBA supply chain management system.- Research and develop ML models to solve diverse business problems faced in seller inventory management systems.- Define a long-term science vision and roadmap for the team, driven fundamentally from our customers' needs, translating those directions into specific plans for research.- Drive and execute ML projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.- Review and audit modeling processes and results for other scientists, both junior and senior.- Advocate the right ML solutions to business stakeholders, engineering teams, as well as executive level decision makers.A day in the lifeIn this role, you will be a technical leader in ML with significant scope, impact, and visibility. As a senior scientist on the team, you will be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. From day one, you will be working with experienced scientists, engineers, and designers who love what they do. You are expected to make decisions about technology, models, and methodology choices. You will strive for simplicity, and demonstrate judgment backed by mathematical proof. You will also collaborate with the broader decision and research science community in Amazon to broaden the horizon of your work and mentor engineers and scientists. The successful candidate will have strong expertise in applying ML models in an applied environment and is looking for her/his next opportunity to innovate, build, deliver, and impress. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready machine learning solutions. The candidate will need to be entrepreneurial, wear many hats, and work in a fast-paced, high-energy, highly collaborative environment. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamFulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, see their sales lift, and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years, sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the third-party supply chain. FBA sellers leverage Amazon’s expertise in ML, optimization, data analytics, econometrics, and market design to deliver the best inventory management experience to sellers. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.BASIC QUALIFICATIONS- Master's degree in math/statistics/engineering or other equivalent quantitative discipline- 3+ 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- Proficiency in model development, model validation, and model implementation with big data ...

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.Amazon Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization group is seeking a Senior Applied Scientist with expertise in Optimization and a proven record of solving business problems through scalable Optimization solutions. FPX Science tackles some of the most mathematically complex challenges in transportation planning and execution space to improve Amazon's operational efficiency worldwide. We own Amazon’s global fulfilment planning and execution. The team also owns the short and mid-term-term network planning and execution that determines the optimal flow of customer orders through Amazon fulfilment network. This includes developing sophisticated math models and controllers that assign orders to fulfilment centres to be picked and packed and then planning the optimal ship method in terms of cost, speed and carbon impact to deliver to the customer. These plans drive downstream decisions that are in the billions of dollars at Amazon Scale worldwide! The systems we build are entirely in-house, and are on the cutting edge of both academic and applied research in large scale supply chain planning, optimization, machine learning and statistics. These systems operate at various scales, from real-time decision system that completes thousands of transactions per seconds, to large scale distributed system that optimize Amazon’s fulfilment network. As Amazon continues to build and expand the first party delivery network, this role will be critical to realize this vision. Your tech solution will have large impacts to the physical supply chain of Amazon, and play a key role in improving Amazon consumer business’s long-term profitability. If you are interested in diving into a multi-discipline, high impact space this is the team for you. We’re looking for a passionate, results-oriented, and inventive Senior Applied Scientist who can create and improve optimization models for our outbound transportation planning and execution systems. In addition, you will be working on design, development and evaluation of highly innovative Optimization models for solving complex business problems in the area of outbound transportation planning systems. Watch http://bit.ly/amazon-scot to get the big picture. Key job responsibilitiesAs a Senior Applied Scientist within FPX Science team, you will propose and deploy solutions that will likely draw from a range of scientific areas such as Optimization, machine learning, advanced statistical modeling, and graph models. You will have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry, with some of the best product managers, research scientists, statisticians, and software engineers to integrate scientific work into production systems. You will bring deep technical expertise in the area of Optimization, and will play an integral part in building Amazon's Fulfillment Optimization systems. Other responsibilities include:* Design, development and evaluation of highly innovative Math models for solving complex business problems. * Research and apply the latest Optimization techniques and best practices from both academia and industry. * Think about customers and how to improve the customer delivery experience. * Use and analytical techniques to create scalable solutions for business problems. * Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. * Technically lead and mentor other scientists in team. * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeThis is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within its logistics network including Fulfillment Centres, Air Stations, Sort Centres, Delivery Stations, and more. You will need to meet with many internal customers to understand their business and their challenges as you develop an effective solution to enable us to collectively scale. Our leadership is very interested in this effort so you will find lots of opportunities to get your ideas and plans in front of them for evaluation and alignment. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready mathematical optimization solutions. A successful candidate is able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamFulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Machine Learning and Operations Research, who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create ML and optimization solutions to solve those problems at scale.BASIC QUALIFICATIONS- 5+ years of applied research experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- 5+ years of industry or academic research experience- Ph.D. in Operations Research, Computer Science, Industrial Engineering, Statistics, Applied Mathematics, or a related field- 5+ years of hands-on experience in building optimization models in business environment- Proven track in leading and mentoring scientists with demonstrated ability to serve as a technical lead- Strong fundamentals in problem solving, algorithm design and complexity analysis ...

Do you want to be part of a team that's revolutionizing Amazon's fulfillment and packaging technology? Can you commit to optimizing systems that process tens-of-millions of customer packages daily with the lowest cost to serve and a defect-free customer experience? Do you have a passion for solving complex science challenges and building a sustainable e-commerce experience?Your Deep Learning skills can help make that a reality on the Mechatronics and Sustainable Packaging team. We are looking for a talented Senior Applied Scientist to join our team. You will join a team of Scientists and Machine Learning Engineers (MLEs) to directly improve the packaging experience of Amazon customers in the fulfillment technology space. The team consists of experts in the field of Statistics, Operational Research, Machine Learning (ML), Computer Vision and Generative AI who work together to break new ground in the world of automated packaging solutions. You'll work in a collaborative environment where you will deploy and scale ML solutions to peta-bytes of data, work on problems that haven’t been solved before, and understand whether they succeed via statistically relevant experiments across millions of customers. You'll see the work you do directly improve the packaging experience of Amazon customers in the fulfillment technology space. If you are interested in robotics, computer vision, machine learning, big data, and building scalable solutions, this role is for you.The successful candidate will have a PhD in Computer Science, Statistics, or Engineering with a strong focus on data analysis, machine learning, generative AI or a related field, and 5+ years of practical experience solving complex problems in computer vision, anomaly detection, robotics. or multi-modal classification systems. Manufacturing, packaging and/or logistic experience is a plus, but not a requirement.Key job responsibilities- Advance exploratory research projects in machine learning, statistics and related fields to create defect-free packaging customer experiences- Analyze large amounts of Amazon shipments to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities- Validate new or improved models via statistically relevant experiments across millions of customers- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scaleBASIC QUALIFICATIONS- Ph.D. degree in Computer Science, Statistics, Machine Learning, or a related field with publications in refereed academic conferences and journals- 5+ years of experience of solving difficult machine learning, optimization, or statistical business problems- Experience programming in Python, Java, C++ or a related language- Proven track record of bringing advanced science solutions to production ...

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.Key job responsibilitiesCandidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As a senior scientist, you will also help coach/mentor junior scientists in the team.BASIC QUALIFICATIONS- 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- 5+ years of building machine learning models or developing algorithms for business application experience- Proficiency in model development, model validation and model implementation with Big-Data.- Proficiency working with Python and other high-level languages like Java/C++/Scala/R with at least 5 years of coding experience- Strong fundamentals in problem solving, algorithm design and complexity analysis.- Proven track in leading, mentoring, and growing teams of scientists.- Excellent written and verbal communication skills with technical and business teams; ability to speak at a level appropriate for the audience. The ideal candidate can present business cases and document the models and analysis and present the results in order to influence important decisions. ...

We are building a world-class last mile delivery ecosystem with Amazon Flex as a cornerstone of this strategy. Amazon Flex works directly with independent contractors, to make deliveries to our customers. With Amazon Flex, delivery partners are their own boss, build their own schedule, and choose from different types of delivery opportunities (e.g. Amazon Fresh, Whole Foods Market, and Amazon Logistics). Amazon Flex is powered by a mobile app that works in sync with our advanced systems and processes, allowing delivery partners to secure delivery offers, track their delivery progress, and more.We are looking for candidates with strong skills in Optimization modeling (Mixed Integer Programming, Dynamic Programming, Decomposition Methods), as well as solid skills in Python coding and data collection and analysis. Some background in Control Theory, Machine Learning, and Economics would be helpful too.The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment and a desire to help shape the overall business.Key job responsibilities• Design and develop advanced mathematical, optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of delivery planning, supply chain optimization, network optimization, economics, and control theory. • Apply mathematical optimization and control techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming, decomposition methods, model predictive control) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.• Research, prototype, simulate, and experiment with these models by using modeling languages such as Python, MATLAB, Mosel or R; participate in the production level deployment.• Create, enhance, and maintain technical documentation• Present to other Scientists, Product, and Software Engineering teams, as well as Stakeholders.• Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans.• Influence organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentorother Scientists.BASIC QUALIFICATIONS- PhD or equivalent Master's Degree plus 4+ years of experience in Operations Research, Industrial Engineering, Control Engineering, Computer Science, or Optimization related field- Expertise in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic, decomposition methods- Expertise in building optimization models and implementing them on OR tools (e.g. XPRESS, Gurobi, CPLEX, etc)- Expertise in validating and simulating math optimization models- Experience programming in Python or related language- Strong communication and documentation skills- Understanding of basic forecasting methods ...

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 ...

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 ...