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US, WA, Seattle
The People eXperience and Technology Central Science (PXTCS) team 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. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. PXTCS is looking for an economist who can apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure impact, and transform successful prototypes into improved policies and programs at scale. PXTCS is looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. A day in the life The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team PXTCS is a multidisciplinary science team that develops innovative solutions to make Amazon Earth's Best Employer
US, VA, Arlington
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Economist III Job Location: Arlington, Virginia Job Number: AMZ9442487 Position Responsibilities: Develop advanced structural demand and econometric frameworks for products and services in Amazon Devices. Create and drive the scientific roadmap for the team, and influence partner science teams. Drive cross-functional collaboration with scientists, engineers, and business leaders to integrate economic insights into strategic decision-making processes and shape future initiatives. Communicate insights in writing and verbally, to senior leaders on Product and Finance teams within the company. Actively mentor junior scientists on advanced econometric techniques. Position Requirements: Ph.D. or foreign equivalent degree in Economics or a related field and three years of research or work experience in the job offered or a related occupation. Must have three years of research or work experience in the following skill(s): (1) working with and using econometrics (including with program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods; and (2) building statistical models using R, Python, STATA, or a related software. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $159,200/year to $215,300/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000
US, TX, Austin
WWGS (Worldwide Grocery Stores) organization leads the innovation of Amazon’s omni-channel grocery offerings (Fresh, Whole Foods, 3P). In this space, Amazon aims to delight customers by providing broad selection, competitive prices, best-in-class delivery, convenient in-store/pickup options across regions, and an end-to-end shopping experience that makes it easy for customers to discover what they love and build complete grocery baskets. The Grocery Economics and Optimization Science team in WWGS is looking for an Economist to drive the vision of creating a bar raising customer experience in online channels, leading to growth in customer acquisition and loyalty. As an Economist on the team, you will help Amazon Grocery’s Delivery and Pickup channels to improve customer experience and accelerate growth opportunities like the recently launched Amazon Grocery Subscription or Fresh Groceries on Same-Day Delivery service. You will be expected to own the the full lifecycle of your projects from business requirements gathering, devising methodological approaches, data extraction and exploration, implementation, validation, and socialization. A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results and the ability to influence a variety of stakeholders. The ideal candidate will have experience applying causal inference techniques and impact estimation, and be curious and excited to apply these in challenging real-world settings. They will thrive in working to deliver impactful solutions to the business problem, in the face of ambiguity over which modeling approaches will deliver the best results. Key job responsibilities - Apply expertise in causal modeling and machine learning to measure the impact of key initiatives on customers’ long-term engagement. - Design experiments to measure pilot programs and support the scaling of successful experiments. - Develop and maintain attribution models to understand the key drivers of high value customer actions. - Collaborate with business stakeholders, product managers, finance analysts and executive-level decision makers to synthesize findings into actionable insights.
US, CA, Culver City
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Principal, Economist Job Location: Culver City, California Job Number: AMZ9085106 Position Responsibilities: Design, test, and implement innovative science solutions to new and existing ad auction products at Amazon. Design new auction and bid algorithms for Amazon’s advertising business to improve market efficiency, advertiser welfare, and monetization of Amazon’s advertising inventory. Conduct economic research and apply the latest insights and empirical data analysis to auctions and mechanism design at Amazon. Lead implementation of auctions and algorithms in Amazon’s digital advertising context. Prepare scientific reports and presentations tailored to advise business (non-technical) audiences in auction design. Formulate recommendations and plans regarding auctions and mechanism design to senior management (director and above). Leverage big data tools to process large data sets, address quantitative problems, and use data analysis to evaluate competition dynamics in auction markets. Deliver causal analysis to evaluate impact of new algorithms and new auction mechanisms, including difference-in-differences, panel data, instrument method, and synthetic control. Work with Python, Spark, and SQL. Design and launch stochastic auctions to generate data for learning and measurement use cases. Design and launch measurement frameworks to quantify the impact of new auction algorithms. 40 hours / week, 8:00am-5:00pm, Salary Range $189,400/year to $256,200/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
US, NJ, Newark
At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE Audible is actively seeking a talented economist to join our team. Economists at Audible play a critical role in driving success for the business, and also work to raise the bar for Amazon’s broader science/economics community. Our team of economists and data scientists tackles a wide range of questions, including pricing, experimentation science, data-driven product strategy/optimizations, internal productivity/incentives, audience science, and impact/ROI measurement. The ideal candidate will excel at (and enjoy) wearing many hats, and be able to effectively translate business questions into tractable science problems, dive deep into data for analytical insights, and represent the team in a range of settings - from reviews with senior Amazon scientists to reviews with senior Audible/Amazon business leaders. We are open to candidates from a range of fields/backgrounds (including both structural modeling and reduced-form causal inference). If you are passionate about leveraging economic insights to shape the future of digital media, we encourage you to apply and be a part of our dynamic team. As an Economist, you will... - Utilize rigorous economic thinking and econometric methods to provide data-driven recommendations - Design and analyze experiments and quasi experimental analyses - Collaborate with scientists at Audible and Amazon to build econometric models and develop scalable solutions to complex problems - Partner with diverse teams at Audible, including executives, content, product, marketing, and finance, to leverage data-driven insights and economic theory to shape the direction of strategic initiatives - Raise the bar for science/economics work, both within Audible and across the broader Amazon community ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
US, WA, Seattle
Interested in influencing what customers around the world see when they turn on Prime Video? The Prime Video Personalization and Discovery matches customers with the right content at the right time, at all touch points throughout the content discovery journey. As a Principal Economist on the team, you will lead the way in shaping how Prime Video consistently makes smart, long-term decisions using online experimentation. Economists at Amazon partner closely with senior management, business stakeholders, and peer technologists to solve key business problems. Key job responsibilities - Lead initiatives to measure the value of new feature launches via large-scale online experiments and observational approaches - Scale decision-making across Prime Video by owning tradeoff frameworks when competing interests fail to align - Partner with finance, business, and product managers to bridge the gap between science decisions and business impact - Develop new internal tools to provide visibility and explainability into the model outputs so users can understand and inform future features
US, WA, Seattle
The Stores Economics and Science (SEAS) team is an interdisciplinary science and economics team whose mission is to solve high-risk, high-return problems for the Stores organization. We leverage frontier science, partner with teams across Amazon, and learn from the tools, experience, and perspectives of others. Our work spans rapid responses to pressing leadership questions, collaborative partnerships to help other teams achieve their goals, and multi-year scientific bets with large upside potential. We are looking for an economist who can use data-driven modeling and analyses to make the right trade-offs and solve impactful 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. In this role, you will contribute to SEAS' mission in two key ways. First, you will leverage your economic expertise to help design and validate scientific solutions for pressing business challenges. This will involve applying advanced analytical techniques, conducting rigorous data analysis, and proactively proposing high-impact initiatives that can be rapidly prototyped and scaled. Secondly, you will play a crucial role in translating complex economic models and insights into actionable recommendations that directly inform leadership decisions across the organization. This will require strong communication skills to effectively collaborate with cross-functional partners and drive meaningful change. Key job responsibilities - Collaborate with cross-functional partner teams to understand their challenges and translate them into rigorous economic frameworks that can be addressed through data analysis, modeling, and experimentation. - Own the end-to-end development of economic models and analyses, including conducting necessary data gathering, analysis, and validation to drive actionable insights, and - Effectively communicate your economic findings, models, and proposed solutions to senior business stakeholders, incorporating their feedback to refine your work.
US, WA, Bellevue
We are looking for a Principal Economist at the frontier of applied econometrics to join the Last Mile Economics team. They will develop rigorous but interpretable models to understand the past and present, predict the future, and identify relevant risks and opportunities across all the Last Mile programs. The team supports Amazon Flex, the Delivery Service Partner program, and the Hub Delivery Partner program. This leader will build tools to forecast the internal and external drivers of the engagement and effectiveness of our transporters. These tools will enable Amazon to innovate ways to incentivize our transporters to deliver for our customers in the short, medium and long term. They will also build econometric models of dynamic systems using our world class data tools, and formalize problems using rigorous science to solve business issues and further delight customers. Key job responsibilities The ideal candidate will have extensive knowledge of both the theory and practice of econometrics, strong collaboration skills, proven ability to lead highly ambiguous and large projects, and a drive to deliver results. They will work closely with and influence a broad set of stakeholders across Last Mile. They will partner closely with Economists, Applied Scientists, Research Scientists, and software engineers to integrate their forecasts and estimates into a larger ecosystem of predictive and optimizing models; with Product leaders to help define analytic product use cases, requirements, and success critera; with Operations and Financial leaders to drive adoption of these tools in both day-to-day operational settings as well as in financial forecasting exercises; and with Leadership to share insights, learnings, and recommendations for taking opportunities and mitigating risk. This position is well suited for economists adept at combining time-series statistical methods with rigorous structural microeconomic modeling and causal inference. It could be a good fit for candidates with research experience in: macroeconometrics and/or empirical macroeconomics; time-series econometrics; forecasting; financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models. A day in the life Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company. About the team The Last Mile Economics team builds forecasting, optimization, and incentive design tools to help connect supply and demand for delivery capacity across Last Mile, delighting millions of customers worldwide. Our forecasts, experimental design, causal inference, dynamic optimization, and mechanism/information design provide timely and effective incentives that shape pools of capacity across Amazon Flex, the Delivery Service Partner program, and our Hub Delivery Partner programs to meet growing demand for high-quality deliveries.
US, VA, Arlington
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Manager III, Economist Job Location: Arlington, Virginia Job Number: AMZ9160290 Position Responsibilities: Independently manage a team of economists and/or scientists in developing strategic economic analyses and demand estimation models. Translate business questions into econometric methodologies and causal inference analyses. Communicate economic insights to non-technical audiences to guide strategic-level, high-impact business decisions. Scale economic models through cross-functional collaboration with engineering teams. Establish scientific quality standards and research priorities. Drive operational efficiency and research excellence across the team. Position Requirements: Doctor of Philosophy (Ph.D.) degree or foreign equivalent degree in Economics or a related field and five years of research or work experience in the job offered or related occupation. Must have one year of research or work experience in the following skill(s): 1) managing a team of economists or scientists; 2) using advanced econometric methodologies, casual inference techniques, and statistical programming languages to inform business decisions; 3) experience with software development in collaboration with engineering teams for model implementation; 4) experience communicating complex economic insights to senior stakeholders; and 5) experience developing and mentoring research professionals. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $190,320/year to $236,900/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits#0000
US, WA, Seattle
Join us in the evolution of Amazon’s Seller business! The Selling Partner Growth organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources. We are looking for a Senior Economist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful Economist on our talented team of scientists and economists, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to have deep understanding on the business domain and have the ability to connect business with science. You are also strong in econometrics modeling and scientific foundation with the ability to collaborate with engineering to put models in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research). Key job responsibilities As a Sr. Economist in the team, you will: - Identify opportunities to improve SP growth and translate those opportunities into science problems via principled scientific solutions (e.g. ML, causal). - Mentor and guide the applied scientists and economists in our organization and hold us to a high standard of technical rigor and excellence in science. - Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers. - Work with our engineering partners and draw upon your experience to meet latency and other system constraints. - Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver. - Be responsible for communicating our science innovations to the broader internal & external scientific community.