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US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Economist ILocation: Seattle, WAPosition Responsibilities:Work directly with a team of economists and senior management on key business problems faced by Amazon Prime and Prime benefit teams. Apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Build econometric models using company data. Apply economic or econometric theory to solve business problems. Develop new techniques to process large data sets, address quantitative problems, and contribute to the design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity, and IV) or forecasting (essential time series models). Leverage big data tools for data extraction. Write up and present analyses for distribution to various levels of management at Amazon.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, WA, Seattle
The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for a Principal Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. She/He will also produce and direct teams of researchers to produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. She/He will work well in a team setting with individuals from diverse disciplines and backgrounds. She/He will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating model model. They will be customer-centric – clearly communicating scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.Amazon has offices in many U.S. metropolitan areas including Seattle and Arlington Virginia.
US, WA, Seattle
The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for a Principal Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. She/He will also produce and direct teams of researchers to produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. She/He will work well in a team setting with individuals from diverse disciplines and backgrounds. She/He will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating model model. They will be customer-centric – clearly communicating scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.Amazon has offices in many U.S. metropolitan areas including Seattle and Arlington Virginia.
US, DC, Washington
The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for a Principal Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. She/He will also produce and direct teams of researchers to produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. She/He will work well in a team setting with individuals from diverse disciplines and backgrounds. She/He will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating model model. They will be customer-centric – clearly communicating scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.
US, WA, Seattle
Prime Video is shaping the future of digital video entertainment. Our vision is to provide the most comprehensive global video service that customers choose first and spend the most time engaged with. Our Amazon Prime subscription streaming service provides a broad selection of shows, movies and live sports included with customers’ subscription to Amazon Prime. With Transactional Video on Demand (TVOD) (Rent or Buy) and Channels (subscribe to premium channels such as HBO or Starz), we augment our proposition by giving customers immediate access to the broadest selection of video content available anywhere (nearly 200,000 titles), and we drive monetization opportunities for our business.The Worldwide Marketplace Science team within Amazon Prime Video builds commercial optimization tools for our TVOD and Channels businesses. In this role, you will invent science and systems for TVOD and Channels, including ML-based pricing, personalized promotions, and subscription bundles, among others. You will work with a team of economists and machine learning scientists to design commercial products, and you will work with technology teams to productize and maintain the associated solutions.We are looking for the next outstanding economist to join our interdisciplinary team of analysts, data scientists, economists, and engineers. The ideal candidate combines econometric acumen with strong business judgment. You have versatile modeling skills and are comfortable extracting insights from observational and experimental data. You translate insights into action through proofs-of-concept and partnerships with engineers and data scientists to productionize. You are excited to learn from and alongside seasoned analysts, scientists, engineers, and business leaders. You are an excellent communicator and effectively translate business ideas and technical findings into business action (and customer delight).Key Responsibilitieso Serve as a science / strategy advisor to global TVOD and Channels businesses and anticipate their economic modeling needs.o Partner with business and finance teams to build models and decision frameworks for TVOD and Channels, such as:-Foundational models for informed and repeatable decision-making-Optimizing content life-cycling and pricing across lines of business-Valuing portfolios of content-Extending and translating existing subscription video frameworks to TVOD and Channels
US, WA, Seattle
Are you interested in building econometrics demand and pricing models to guide multi-million dollar decision making across Amazon Devices? Are you excited about using Economics to consult with mini-startups within Amazon often seeking to produce new-to-world solutions to customer problems? Do you want to work on an Economics focused team tackling these challenges collaboratively and seeking to scale the insights into self service models and tools within Amazon? Well that's what we do; this could be the role for you!A day in the lifeIn the average role on this team, you will spend time working directly on econometric models, investing in how to make those models and the software tools that support them better, using the model outputs to support critical business decisions, and using feedback from a variety of stakeholders (product management, finance, marketing) to inform the science roadmap and prioritize greenspace projects for yourself. In particular, this role is expected to focus on the Emerging Product Lines of new to world concepts where our internal partners need help applying Economics to the decisions they are making early in such products' lifetimes. Think the original Echo device but 3yrs before it launched; you're helping to get such concepts off the ground to launch them effectively. That involves a lot of teaching Economics to stakeholders, deep dives to create structure out of ambiguity in that space, and likely designing conjoint demand models that leverage surveys to get data on new to world features.About the hiring groupThe Device Economics team owns demand estimates, pricing recommendations, and return on investment calculations (including cannibalization) of concept devices, services, and subscriptions before customers know they exist. We use our models to support over 100 different such decisions every year ranging from estimating demand to decide how many of the next Echo device to build to pricing the next Kindle to whether or not to invest in producing the new Ring Always Home Cam drone. We work collaboratively to both support those decisions and use the feedback to invest in related science and product work like how many incremental sales would we get if the next Ring device was launched in Costco or how can we improve the MAPE of our multinomial logistic regression demand model.Job responsibilities· Use conjoints to create demand models end to end· Deep dives applying Economics to ambiguously defined hardware and software products often only a few stages after being an idea.· Interact directly with stakeholders to deliver recommendations and learn from their feedback· Collaborate with Economists and Scientists on your team on defining and executing on the long term Science roadmapAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
US, WA, Seattle
Amazon's digital economics team is looking for an Economist Manager to help build and grow a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data. You will work with us to develop models of consumer and advertiser behavior.You will work at the intersection of engineering, economics, and data science.If you have a background in economics, mathematics, or statistics and have always experience building and mentoring science teams, this is the job for you.Examples of the problems you will manage:- Auction and mechanism design- Estimation and implementation of Bayesian statistical models- Low-latency implementation of constrained optimization problemsAbout Amazon's advertising business:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace team optimizes the systems and ad placements to match demand with supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for Advertisers to meet their business objectives and continue to build a big, sustainable business that helps Amazon continuously innovate on behalf of all customers.
US, WA, Seattle
Core AI is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve AI and ML problems that have high risk with abnormally high returns. Our team leverages the strengths of our engineers and scientists to build solutions for some of the toughest business problems here at Amazon.We are looking for a seasoned economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.This role will be to work within Core AI to help support research and development on rapid proofs of concept for high-impact projects. The economist will have access to engineering and econometric tools, as well as Amazon's Scholar Residency Program, which consists of world-class academic scientists and researchers collaborating with internal partner teams to facilitate the delivery of Scholar led science into engineering systemsResponsibilities:* Work within Core AI teams to consult with internal partner terms on collaboration opportunities and to assess potential for impact.* Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model.* Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.
US, WA, Seattle
The Fresh Food Fast organization is responsible for transforming the online and offline grocery experience for Amazon. We are seeking a senior science leader to define our long-term science vision, build out a high-performing team and deliver business critical scientific models to increase customer engagement, inform long-term investment decisions, and measure how grocery is contributing to Prime and Amazon.A day in the life· You will influence senior leaders (VP+) across business, product, finance, and engineering functions and you will partner closely with central Amazon teams to pioneer new models to measure grocery’s future impact to Prime and Amazon.· · You will manage a team of Data Scientists, Economists and BIEs to deliver results on behalf of customersAbout the hiring groupWe’re a team of Product Managers, Data Scientists, Economists and Business Intelligence Engineers focused on deeply understanding how F3 customers engage with physical and online grocery stores in order to enhance their shopping experience, drive engagement and loyalty, and measure their long-term impact to Amazon.Job responsibilitiesYour team will apply complex scientific methods to challenging business problems including, “How can we encourage customers to shop more frequently?”, and “how should we measure the impact of physical store expansion and technology innovation in those stores (e.g. Just Walk Out Technology)?”. You will power through ambiguity, finding the right solutions to problems and influencing others to align with your approach and help drive results. You will mentor and develop scientists to achieve their goals, raising the bar technically and driving scale and efficiencies to better leverage our data and technologies.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Seattle
Selling Partner Support (SPS) strives to provide best-in class customer service to all Selling Partners selling on Amazon platform. Our service center associates play a central role in providing effective and efficient solutions to our Selling Partners. SPS is looking for a Senior Economist who will identify data-driven changes to help improve the productivity, career growth and retention of our service center associates, and subsequently positively impacting our Selling Partner’s experience. Senior Economist will be able to leverage large set of information on associate training data, their day-to-day work activities, associate interactions with supervisors and various performance metrics to draw causal inferences about associate behavior using machine learning (ML) techniques. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast-moving environment.Responsibilities include:· Leverage ML techniques to develop causal inference models to identify key associate-supervisor interactions that improve Amazon associate productivity and retention as well as our Selling Partner satisfaction.· Influence key business decisions in potentially adjusting labor plans, shift structures, compensation and/or benefits to increase Amazon's appeal across a diverse workforce.· Work with SPS Applied Scientists, Economists and leadership to develop research roadmap.· Identify and pitch new opportunities to leadership that are suggested by the data.· Review and audit modeling processes and results for other scientists, both junior and senior.· Partner with other science leaders throughout Amazon to develop consistent and repeatable solutions.
US, WA, Bellevue
Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon has invested in Amazon Logistics, a world class last mile operation. We are looking for a dynamic, resourceful, and organized Sr Economist within Amazon Logistics’ Amazon Flex organization to develop new, data-driven solutions to support the most critical components of this rapidly scaling operation.As part of the Last Mile Science & Technology organization, you’ll partner closely with Science, Product, Tech, and Program teams to design innovative solutions to organizational and business problems. You will develop new sophisticated algorithms and improve existing approaches. You will be expected to communicate highly complex findings to multiple audiences.In addition to designing meaningful research questions and analyzing the resulting data, you must be able to see a full loop vision that goes beyond experimentation and proof of concept to conceptualizing design solutions, collaborating closely with multiple teams to ensure the relevance and impact of your work to business stakeholders. You will be expected to be a thought leader as we chart new courses with our delivery support technologies.Key ResponsibilitiesExecute global research initiativesWork in an ambiguous environmentConduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results.
US, WA, Seattle
Do you want to build world's most trusted brand for product discovery and recommendation? Amazon's Choice team is looking for a talented causal inference Economist to help shape algorithms and user experiences that influence better/faster shopping decisions, foster long-term customer trust, and address complex trade-offs between these objectives. Amazon's Choice highlights billions of products on Amazon across all categories and marketplaces, helping customers quickly find a product they like. It has struck a chord with customers, and is scaling rapidly as a result. Its technology is also used in the user experience of multiple partner teams who rely on the accuracy of its algorithms and the strength of its brand.As an Economist for Amazon's Choice, you will:* Leverage big data to understand the drivers of customer response to Amazon’s Choice experiences, across both short term and longer term horizons.* Develop models to continuously measure the overall incremental value of Amazon's Choice experiences, assess heterogeneous effects, and provide insights on opportunities for growth.* Use learnings from causal inference models and experiments to optimize Amazon's Choice algorithms and provide partner teams with actionable insights on customer preferences.* Partner with engineering and product owners to productize measurement and optimization models.* Partner with engineering and product owners to design and implement experiments to test and launch new features.* Use economic insights to drive the broader strategic direction and expansion of the program.* Contribute actively to Amazon's Choice science community and leadership and work cross functionally.
US, WA, Seattle
AWS Central Econ is looking for an exceptionally talented and motivated Senior Economist to drive the science and inform the automation of downstream impact analyses of AWS services and programs. The output of these analyses supports critical VP-level decision making at AWS, including the launching and pricing of products, investment, acquisitions, go-to-market and sales motions, and the design of credits and incentives.You will apply creativity, economic thinking, and state-of-the art methods in causal analysis and ML to produce actionable and scalable solutions. You will join a diverse team of economists and other scientists. You will learn about all aspects of the cloud computing business, and your work will get consistent exposure to senior leadership.
US, WA, Seattle
Amazon’s Elastic Compute Cloud (EC2) enables customers of all sizes to run their applications on our industry leading cloud infrastructure.The EC2 Pricing Strategy & Economics group is looking for an Economist to join our cross-functional team of Economists and Product Managers. Our group is responsible for EC2’s global pricing-positioning strategy and has influence over product strategy and go-to market actions. We don’t expect you to be an expert in EC2 or cloud computing but we do expect you to be naturally curious and excited to learn about them.In this role you will collaborate with other Economists, PMTs, Data Scientists, Engineers, and other specialists as you work at the intersection of causal inference and empirical IO to further EC2’s growth. Our space is fast growing and relatively under-explored from an economic viewpoint with a variety of open questions still standing. As a member of our team you will be presented with opportunities to add value through research and developing methodologies & frameworks as you contribute towards launching and steering some of AWS’ largest initiatives, gaining frequent exposure to senior leaders across AWS.Candidates who are a strong fit for the role are:· creative, bringing an imaginative perspective when confronted with challenging problems· curious, interested in understanding how customers make decisions and applying gained insights to improve how EC2 meets & serves customers· bias towards econometric analysis that deliver practical value for decision makingTeam CultureYou should be excited about working with a collaborative team that welcomes curiosity, creativity, and a diverse set of backgrounds and skillsets to deliver results. We believe that our experiences shape our perspectives and that the best solutions to a problem arise from viewing it from a variety of angles. Because of this belief, our group is enthusiastic about attracting, developing, and retaining talent from all backgrounds.Life/Work BalanceOur team is focused on balancing life with work which we accomplish by developing processes that enable us to scale faster than the business. Work hours are largely flexible and typically self-defined.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, CA, Virtual Location - California
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
During the lockdown, how has your grocery shopping behavior changed? Have you tried various food delivery services to feed yourself and your loved ones? The pandemic has accelerated customers' adoption of online grocery shopping services like Amazon Fresh.My organization is looking to re-imagine the world of Grocery Supply Chain here at Amazon Fresh. Our vision is to enable any grocery operation in the world to fulfill omni-channel orders by providing them with an automated sales and operations planning (S&OP) solutions for their business. We are building automated software solutions that leverage machine learning to scale S&OP from 50 to 400+ omni-channel stores and warehouses globally. We are data-driven, build scalable and automated data pipelines which yield in accurate forecasting models to support the grocery business at Amazon.To succeed, we want economists like yourself to forge a path into the future by building models to help forecast demand (being in pandemic complicates things a little bit). Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company. You have strong leadership qualities, great judgment, clear communication skills, and a track record of shipping great products.If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, CA, Culver City
Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is used daily by a massive audience on Amazon's websites and through a variety of devices including the Kindle Fire, game consoles, smart TVs and Blu-ray players. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. Movies range from new releases to classic favorites, and Prime Video offers major television episodes, entire seasons, or even day after air TV.The Video Content Research team uses machine learning, econometrics, and data science to optimize Amazon’s streaming-video catalogue, driving customer engagement and Prime member acquisition. We generate insights to guide Amazon’s digital-video strategy, and we provide direct support to the content-acquisition process. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to predict and understand what customers like to watch.We are looking for an economist to build innovative systems for measuring the efficacy of Prime Video marketing. For example, we need to understand how our advertising campaigns for Amazon Originals like The Boys have attracted new Prime members. Key responsibilities of this role include the following:· Building scaled econometric models for measuring marketing efficacy using various measures of engagement· Constructing optimization and support tools on top of econometric models to help Prime Video choose the right level and mix of advertising for a broad portfolio of content· Collaborating with machine-learning scientists to integrate marketing measurement into multiple Prime Video projection models· Providing technical leadership to a diverse group of scientists and data experts· Creating and tracking accuracy and performance metrics· Helping build production systems that take inputs from multiple models and support decision makingAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us
US, WA, Seattle
The AWS Outcome Driven Engineering (ODE) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to real world industry problems. We dive deep with industry leaders to solve problems and unblock industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses.We are looking for a seasoned principal economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.As part of the Outcome Driven Engineering Supply Chain, the Principal Economist will work closely with dedicated engineering, design, and product resources to solve challenging problems of forecasting, mechanism design, and causal inference in supply chain products. The Principal Economist in this role will also work closely with senior leadership of AWS customer firms in a partnership model to develop net-new services to be offered by AWS.Responsibilities· Work with partners and the AWS ODE team to identify customer problems and propose modeling solutions that drive value to customers and revenue to AWS.· Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model.· Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.Work/Life BalanceOur team puts a high value on work-life balance. Prior to Covid restrictions, our team was co-located in the office, but we were also flexible when people occasionally needed towork from home. We generally keep core in-office hours from 10am to 4pm. About halfof us come in earlier and the other half of us stay later. Once Covid restrictions are lifted, we expect to follow Amazon policy on working from home.Building a High-Performing & Inclusive Team CultureYou will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.Mentorship & Career GrowthYou will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.We will consider candidate placement in: Seattle, San Francisco Bay Area, Denver, Chicago, Atlanta, the Boston Metro area, and other East Coast locations in North America.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, CA, Irvine
Amazon’s High Value Messaging (HVM) Analytics team (part of Customer Behavior Analytics org) is looking for an experienced and motivated Economist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable scientific models to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of Causal Inference, Big-Data analytics, and Machine/Deep Learning.A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You will apply your econometrics expertise to identify opportunities for further research and to provide insights that drive larger initiatives. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine/deep learning at scale to solve business problems. You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization.The Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience.The main responsibilities for this position include:· Apply your expertise in causal modeling and ML to develop systems that describe how Amazon’s marketing campaigns impact customers’ actions· Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions· Improve upon and simplify our existing solutions and frameworks· Review and audit modeling processes and results from other economists/scientists, both junior and senior· Work with marketing leadership to align our measurement plan with business strategy· Formalize assumptions about how our models are expected to behave and explain why they are reasonable· Identify new opportunities that are suggested by the data insights· Bring a department-wide perspective into decision making· Develop and document scientific research to be shared with the greater science community at Amazon