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US, WA, Seattle
Would you like to join a fast-paced team creating cutting edge econometrics and machine learning tools used to enhance the lives of Amazon Prime members worldwide? If so, the Prime Economics and Machine learning team is looking for you! We are seeking a talented economist to help us build the next generation of counterfactual modeling tools in Prime. This team is comprised of economists, applied scientists, software/data engineers, and product managers. We work closely with senior Prime leadership to model the implications of company-wide strategic decisions and expect our models to increasingly power customer-facing software systems.A day in the lifeYou build econometric models of Prime customer behavior from scratch. This involves exploring data to motivate modeling assumptions and proposing identification strategies, statistical estimators, and finite/large sample inference strategies. This science usually combines tools from machine learning, reduced-form causal inference, and structural econometrics, often leading to the creation of novel estimators. You vet your work with a team of econometricians, PhD computer scientists/applied mathematicians/statisticians, and well-known academics who serve as Amazon Scholars. You build science using the latest distributed computing infrastructures (e.g., PySpark), partnering with our data/software engineers and product managers to turn this science into scalable, system-facing, high-impact software.About the hiring groupWhat makes our team unique is three things. First, it has a broad mandate to model customer behavior (given that Prime is Amazon’s flagship membership program). Second, we build cutting-edge customer-level simulations using a variety of statistical tools (ML/econometrics/causal inference). This simulation capability is fairly unique across economics/ML-building teams at Amazon, creating green-field scientific and engineering challenges to invent solutions for. Third, given Prime's central role within the company, we have extensive access to senior company leaders, since we often provide timely insights for important strategic decisions. In other words, Prime science serves a "central brains" function for Amazon.Job responsibilitiesMULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLC, an Amazon.com CompanyTitle: EconomistWorksite: 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 #0000Amazon 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, WA, Seattle
Amazon Games applies the principles of Amazonian culture to the world of game design. We’ve got a diverse team of talented, creative people pairing their love of making games with all the unique strengths of being part of Amazon. Across all our teams and locations, we’re united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games—and we’re looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you’ll have the chance to innovate in gameplay, creativity, and technology, while working alongside some of the smartest and most creative minds in the industry.Want to build models which deliver immediate business impact? Come work directly with partners and business leaders to grow Prime Gaming by delivering data-driven insights that help leadership optimize content and perceived value to our customers!This role allows you to influence the frontier of business development and will challenge you to master complex data sets, use programmatic evaluation and / or econometric models to address complex problems, design and test hypotheses, and build automated decision-making systems. You will work at the intersection of Business Intelligence, Fraud Prevention, Content and Operations, Marketing, and Finance teams to collaborate cross-functionally with scientists, analysts, engineers, and product leaders.An ideal candidate is an experienced, resourceful, and independent problem solver who can deploy scalable and sophisticated scientific solutions under challenging time constraints. If you have these skills and are excited about making a big impact in the gaming industry, we are looking for you!KEY RESPONSIBILITIES· Use the breadth of Amazon's available data to drive insights and recommendations for business leaders in growing the Prime Gaming business.· Partner with senior leaders to identify opportunities to test hypotheses that can drive customer acquisition, engagement, or retention.· Own the end-to-end execution of research projects from project planning, data ingestion, exploratory analysis, model development, and productionization in collaboration with a team of scientists, analysts, and engineers.· Advocate for broader understanding of scientific methods and analysis within a fast-moving business organizationAbout Amazon GamesAmazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.Inclusive Culture, Work/Life Balance, & Career GrowthHere at AWS, we embrace our differences and are committed to furthering our culture of inclusion. We offer ten employee-led affinity groups with 190 global chapters, innovative benefits, and annual and ongoing learning experiences (including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences). Our team also puts a high value on work-life balance and offers flexible working hours. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Additionally, our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.
CA, ON, Toronto
Passionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.A day in the lifeSome things you'll do in this role:Work closely with other scientists and engineers to architect and develop the best technical design and approach.Be a hands-on technical leader, developing novel algorithms and applications to solve hard problemsDeliver with independence on challenging large scale problems with significant ambiguityWrite cogent summaries of your work, accessible to other science and business leadersAbout the hiring groupPassionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Job responsibilitiesPassionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Some things you'll do in this role:· Work closely with other scientists and engineers to architect and develop the best technical design and approach.· Be a hands-on technical leader, developing novel algorithms and applications to solve hard problems· Deliver with independence on challenging large scale problems with significant ambiguity· Write cogent summaries of your work, accessible to other science and business leadersWe are open to hiring this role in Boulder/Denver, Chicago, Toronto, Santa Monica, Arlington, Jersey City/NYC, Austin, and Seattle#madsjob#sspajobsAmazon is committed to providing accommodations at all stages through recruitment and employment in accordance with applicable human rights and accommodation legislation. If contacted for an employment opportunity, please advise Human Resources if you require accommodation, including in order to apply for a position.
US, WA, Seattle
Amazon rewards team is looking for a talented and motivated Senior Economist to work with senior management on key business problems affecting internal rewards products to support flexible workforce models and guide leaders in making rewards investments.You will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, 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 are expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Our team helps Amazon leaders make optimal rewards decisions by providing timely, accurate and actionable insights founded on data and research. We’re working backwards to invent new products that support greater flexibility for our employees and help deliver new experiences to Amazon customers.You will collaborate with other Economists, Data Engineers, Research Scientists and Software Developers to build useful new products using the latest AWS technologies.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.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
Amazon rewards team is looking for a talented and motivated Economist to work with senior management on key business problems affecting internal rewards products to support flexible workforce models and guide leaders in making rewards investments.You will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, 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 are expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Our team helps Amazon leaders make optimal rewards decisions by providing timely, accurate and actionable insights founded on data and research. We’re working backwards to invent new products that support greater flexibility for our employees and help deliver new experiences to Amazon customers.You will collaborate with other Economists, Data Engineers, Research Scientists and Software Developers to build useful new products using the latest AWS technologies.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.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
Customer Trust and Partner Support (CTPS) builds trust with our Customers and Partners; scales through technology, analytics, and science; and serves as a Center of Excellence for Amazon. Our team’s mission is to safeguard order pipelines by monitoring, tracking, and managing risk in order to ensure long term customer satisfaction. We are seeking an Economist to play a key role in order-related risk detection, and enforcement policy optimization.The Economist will work closely with Research Scientists, Engineers and Product Managers to build econometric models, plug them into our systems, and use them to understand the value of our programs and optimize our policies. They will design and conduct all phase of research of projects, from defining key research questions, aligning stakeholder requirements, designing and executing appropriate solutions, to communicating and implementing the model in our pipeline.Key Responsibilities:· Build econometric models or design experiments to estimate the impact of various policies on key business metrics to improve decision quality.· Develop and maintain scalable models to support multiple initiatives at the same time.· Leverage multiple data sources (internal data, survey data, etc) together to drive business insights.· Work closely with stakeholders to define key business needs, and to design and deliver appropriate research solutions.· Influencing key business decisions in how best to positively affect Customer experience through diverse stakeholder groups.· Extract data for analysis and model development from large, complex data sets.· A successful candidate will have strong casual and predictive modelling capabilities, effective verbal/written communication skills, and have a passion for using data to drive business decisions.
US, MA, Boston
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.A day in the lifeThe 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.About the hiring groupThe 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.Job responsibilitiesThe 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 OrientationAmazon 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’s Pricing Research team is seeking an experienced Economist to help envision, design and build the next generation of pricing capabilities behind Amazon’s rapidly growing Sold by Amazon (SBA) product. As an economist, you will work at the intersection of economic theory, statistical inference, machine learning and optimization theory to design new methods and pricing strategies with the potential to deliver game changing value to our customers. This is an opportunity for a high-energy individual to work with our unprecedented retail data to bring cutting edge research into real world applications, and communicate the insights we produce to our leadership.A day in the life· Participate in discussions with business partners, as well as product managers and tech leaders to understand the business problem· Brainstorm with other scientists and economists to design the right model for the problem in hand· Dive deep into the data· Modeling and creating working prototypes· Analyze the results and review them with partners· Partner with other economists/scientists and/or mentoring them· Present journal quality research in Internal and External science forumsAbout the hiring groupThe pricing research group is a team of scientists and economists who design and implement the analytics powering pricing for Amazon’s on-line retail business. The team uses world-class analytics to make sure that the prices for all of Amazon’s goods and services are aligned with Amazon’s corporate goals.Job responsibilitiesThis position is perfect for someone who has a deep and broad analytic background and is passionate about using mathematical modeling and statistical analysis to make a real difference. We are looking for someone willing to develop new methods to tackle important and, often, ambiguous research questions with direct impact in amazon pricing strategies. Experience in applied analytics is essential, and you should be familiar with modern tools for data science and business analysis. We are particularly interested in candidates with research background in applied microeconomics, econometrics, statistical inference and/or finance.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
We are looking for an Economist to join our fast paced, start-up environment to help invent the future of product economics. We solve significant business problems in the devices and retail spaces by understanding customer behavior and developing business decision-making frameworks. You will build econometric models for causal inference and prediction, using our world class data systems, and apply economic theory to solve business problems in a fast-moving environment. This involves analyzing Amazon Devices customer behavior, and measuring and predicting the lifetime value of existing and future products.A day in the lifeEconomists closely work with our Finance stakeholders to ensure analyses are optimized for specific decision-making use cases. Economists define the specific research question based on stakeholder needs, propose methodologies, prototype models and explain their findings. For generalized solutions, we build econometric products, many of which are self-service, to continually generate value for stakeholders.About the hiring groupWe focus on guiding the business to make decisions based on causal inference metrics and providing decision-making frameworks. To ensure adoption of our work, we focus on transparency of our models. We also strive to explain heterogenous treatment effects, as average treatment effects can mask the most business relevant variation.Job responsibilitiesThe Device 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. Advanced knowledge of causal econometrics, as well as basic familiarity with Python, R or Stata is necessary, and experience with SQL 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 MBAs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.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
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 Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, 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, NC, Virtual Location - N Carolina
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. Strong econometric, data and programming skills (R and Python) are necessary, and experience with SQL and AWS tools 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 in a data intensive and science drive environment and will also collaborate with economists, scientists and business stakeholders. 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
This is a role that will drive experimentation strategy for all of AWS Marketing organization, and will enable strategic decision making at the highestA day in the lifeScoping out experiments with key marketing stakeholders, writing measurement docs and working with the engineering teams to automate measurement.About the hiring groupThe AWS Marketing ML & Science team owns all ML modeling, economics, experimentation and science projects for AWS Marketing organization.Job responsibilitiesAmazon Web Services (AWS) is building a world-class marketing organization, and we are looking for a Economist to apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. As a key member on the Marketing Data: Science & Engineering (D:SE) team you will partner with a team of experts across the fields of Product Management, Data Science, Machine Learning and Data Engineering to develop new and innovative solutions to some of the hardest challenges in Marketing. In this role, you will work on the key initiatives and partner with business stakeholders, to build solutions and recommendations to drive key business outcomes for the AWS business.About you:In this role, you will work on designing experiments, build causal econometric models to measure the effectiveness of our marketing programs, 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. You have strong leadership qualities, great judgment, clear communication skills, and a track record of shipping great products.Key responsibilities:· Design paid media and AWS-owned channels (email, website, console) experiments, establish measurement frameworks· Partner with the key marketing teams (Acquisition, Nurture, Product, Email, Console, Website, Events and others) to scope out new experiments and seek out opportunities to measure Marketing organization's actions more effectivelyAmazon 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, VA, Arlington
Device Economics (DEcon) is looking for an economist experienced in causal inference, machine learning, empirical industrial organization, and scaled systems to advance critical resource allocation and pricing decisions in the Amazon Devices org. This role will help refine and execute scientific vision, including executing tooling to estimate demand. Output will be included in scaled systems and inform Devices finance and business leaders.Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches, new marketplace launches, and improvements to existing devices through software improvements. The Devices Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Amazon devices are durable consumer goods that delight customers at purchase and over time, and exhibit complementarities across product lines and product generations. Device Economics seeks an experienced economist adept in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, and mentor talent. This role has broad Devices-wide impact by advancing measurement of market dynamics, product interactions, and improving bundling, applicable across all product lines. This role will interact with internal customers.The candidate will work closely with Amazon Devices leadership in finance and product development to refine science roadmaps for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions. Excellent communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.
US, WA, Seattle
Device Economics (DEcon) is looking for a senior economist with deep experience in empirical industrial organization and program evaluation to lead scientific evaluation and improvement of metrics used in promotion of Amazon Devices. The ideal candidate will be comfortable combining economic theory and empirical analyses to assess existing metrics in a principled manner, and devise superior metrics to advance business and customer interests. This role will be a critical leader in crafting the empirical strategy to advance promotion of first party Amazon Devices within the Device Economics team.Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches, new marketplace launches, and improvements to existing devices through software improvements. Importantly, the Amazon Devices business operates as a manufacturer, with unique complexities distinct from the retail business requiring new science and innovation. The space remains ‘Day 1’.The Devices Economics team leads in analyzing the complex marketplace dynamics and advancing science to reflect the durable goods aspect, and the broader availability of products (online and offline promotion). Device Economics enables science-driven decision making by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, promotion algorithms, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Device Economics seeks an expert in valuing durable goods to help the business optimize promotion and merchandising of our products to deliver customers. This expert will evaluate existing promotion metrics, propose theoretical framework to combine different metrics, and drive a research agenda to advance the metrics. Applications could include promotion algorithms, product assortment offline, bundling recommendation, and for hypothesis generation of value drivers.The candidate will work closely with Amazon Devices finance and promotion leadership to devise science roadmaps for innovation and simplification, and be comfortable operating in a cross-functional environment. Excellent communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.
US, WA, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe 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.Job responsibilitiesThe 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 employment at Amazon.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, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe 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.Job responsibilitiesThe 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.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
Come join Last Mile as an Economics Intern. The Driver Science team focuses on people research of delivery drivers. 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 causal inference or forecasting, as well as familiarity with Python or R is necessary, and experience with SQL is 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.
US, WA, Seattle
Are you passionate about leveraging your economics/econometrics skills to deliver actionable insights that impact daily business decisions? Do you like using causal inference and experimentation methodologies to answer challenging product and customer behavior questions? Do you enjoy building flexible, performant, and global solutions for complex financial, risk, and causal inference problems? If so, here is a great opportunity to consider!A day in the lifeAmazon B2B Payments is seeking a thoughtful Economist who combines their causal inference expertise with business intuition to generate critical insights that will set the strategic direction of the business. As an Economist on the Credit Systems Research team, you will design and build systems/solutions that support financial products, working closely with business partners, product partners, and engineers. Your work will focus on Amazon Lending, which offers loan products to help small and medium-sized businesses grow on Amazon. You will utilize causal inference and experimentation methodologies, data and coding skills, problem solving and analytical skills, and excellent communication to deliver customer value.About the hiring groupThe mission of B2B Payments is to create trusted paying experiences and financial services that empower any business to engage with Amazon from anywhere in any way. Within B2B Payments, the Credit Systems team builds models and systems to maximize business growth and customer experience/value while achieving risk constraints.Job responsibilitiesYou will support our causal analysis and experimentation workstreams. You will use novel and advanced causal economics/econometrics techniques to answer questions on a number of challenging business questions related to credit systems products, focusing on Amazon Lending. You will be responsible for researching insights as well as educating the business, product, marketing, and business development teams on the implementation of those insights to enable data-driven decision making. You will partner with our product management, finance, marketing, engineering, and operations teams to:· Contribute to the development and enhancement of business payment products and features.· Use observational as well as experimental data to develop empirical econometric analysis and models to drive the business and improve our causal inference workstream.· Understand business and product strategies, goals, and objectives and help set the causal and experimental roadmap.· Analyze and solve problems at their root, stepping back to understand the broader context.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