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Senior Economist, Pricing and Promotions
US, WA, Seattle
We are seeking a senior scientist with demonstrated experience in A/B testing along with related experience with observational causal modeling (e.g. synthetic controls, causal matrix completion). Our team owns "causal inference as a service" for the Pricing and Promotions organization; we run A/B tests on new pricing, promotions, and pricing/promotions CX algorithms and, where experimentation is impractical, conduct observational causal studies. Key job responsibilities We are seeking a senior scientist to help envision, design, and build the next generation of pricing, promotions, and pricing/promotions CX for Amazon. On our team, you will work at the intersection of economic theory, statistical inference, and machine learning to design and implement in production new statistical methods for measuring causal effects of an extensive array of business policies. This position is perfect for someone who has a deep and broad analytic background, is passionate about using mathematical modeling and statistical analysis to make a real difference. You should be familiar with modern tools for data science and business analysis and have experience coding with engineers to put projects into production. We are particularly interested in candidates with research background in experimental statistics. A day in the life - Discuss with business problems with business partners, product managers, and tech leaders - Brainstorm with other scientists to design the right model for the problem at hand - Present the results and new ideas for existing or forward looking problems to leadership - Dive deep into the data - Build working prototypes of models - Work with engineers to implement prototypes in production - Analyze the results and review with partners About the team We are a team of scientists who design and implement the econometrics powering pricing, promotions, and pricing/promotions CX.
Economist (Causal Inference), Global Media and Entertainment (GME) Science
US, WA, Seattle
Amazon’s Global Media and Entertainment (GME) organization is creating a future of entertainment where creative content, innovation, and commerce come together. We leverage Amazon’s unique expertise across video, music, gaming, and more to create a truly immersive entertainment experience. Our team, GME Science, is focused on building science tools to optimize Amazon’s entertainment offerings, so that we can provide a great customer experience while operating as a sustainable and profitable business. We push ourselves to Think Big, building ambitious models that create value in multiple GME businesses. This role will expand our team’s measurement work. Business leaders need to quickly understand the long-term impact of various investments, such as new website features, content creation, or marketing campaigns. Our team figures out how to take short-term signals – such as clicks or signups – and turn them into estimates of long-term financial impacts. We work with measurement teams in each business as well as central teams to build foundational measurement science and adapt it for unique use cases. One particular application for this role is to build a principled approach to valuing content/talent deals that include multiple GME businesses. Each deal is unique, featuring talent from film, sports, music, and other top industries, with contract terms that could include video content, podcasts, live appearances, and more. Our valuations need to be structured so that they are comparable across deals, yet flexible enough to account for diverse contracts. To be successful in this role, you will need effective communication, an ability to work closely with stakeholders across our many GME partner teams, and the skill to translate data-driven findings into actionable insights. This includes developing a deep understanding of our business context, which is ambiguous and can change quickly. Your work will be used by decision-makers across GME to deliver the best entertainment experience for our customers, which means we have a high bar. Our healthy team culture is supportive and fast-paced, and we prioritize learning, growth, and helping each other to continuously raise the bar. Impact and Career Growth In today’s entertainment landscape, critical decisions are made with data and economic models. You’ll help GME leaders ask the right questions, and then deliver data-driven answers, creating the future of GME at Amazon. You’ll help define a long-term science vision in this space and translate it into an actionable roadmap. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding – a perfect recipe for career growth as an economist in tech. Key job responsibilities • Design and build econometric models, especially causal models, to measure the value of the business and its many features • Develop science products from concept to prototype to production, incorporating feedback from scientists and business partners • Independently identify and pursue new opportunities to leverage economic insights across GME businesses • Write business and technical documents communicating business context, methods, and results to business leadership and other scientists • Serve as a technical reviewer for our team and related teams, including document and code reviews
Economist II, Last Mile Delivery Tech - WW Flex
US, WA, Bellevue
We are building a world-class last mile delivery ecosystem with Amazon Flex as a cornerstone of this strategy. Amazon Flex works directly with independent contractors, to make deliveries to our customers. With Amazon Flex, delivery partners are their own boss, build their own schedule, and choose from different types of delivery opportunities (e.g. Amazon Fresh, Whole Foods Market, and Amazon Logistics). Amazon Flex is powered by a mobile app that works in sync with our advanced systems and processes, allowing delivery partners to secure delivery offers, track their delivery progress, and more. Economists at Amazon Flex partner closely with senior management, business stakeholders, scientists and engineers, and economist leadership to solve key business problems including pricing, promotions, offer optimization, recruiting, capacity planning, and beyond. Amazon Flex 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 labor, or 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 a cross-functional team that supports all of Amazon Last Mile Delivery Tech. 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 across the business.
Economist II, PV Economics
GB, London
Are you excited about using econometrics and statistics to impact real-world business decisions? We are looking for an Economist to build innovative solutions based on econometrics, experimentation, and machine learning helping us to answer challenging and impactful business problems for Prime Video. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities - Design, set up, and analyze experiments to measure impact of strategic PV initiatives - Leverage causal inference methods to estimate the impact of large-scale investments ex post - Collaborate with other scientists at Amazon to deliver measurable progress and change - Influence business leaders based on empirical findings A day in the life You will work as an individual contributor working on a mix of complex strategic, long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community. About the team The PV Economics team consists of PhD-trained structural and causal-inference Economists. We are an high-impact team driving decision-making in areas including PV with ads and content portfolio optimization.
Senior Economist - Amazon Business, Business Prime
US, TX, Austin
Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. The Business Prime team is looking for a talented Economist with well rounded set of capabilities to help manage our ever growing need for analysis of increasingly complex business questions. At Amazon, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits as well as an expanding set of propositions internationally. You will be working in one of the worlds’ largest and most exciting big-data environments. The Economist role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management. In this role, you will be the thought leader on the economic underpinnings of the Business Prime program, influence stakeholders across function and at senior levels of Amazon, engage with SDM counterparts to build the technology solution to serve customers, and with partner with marketing on campaigns optimized to maximize value for customers and Amazon. The ideal candidate will need to understand business problems and turn them into useful analyses and recommendations. They will communicate complicated concepts clearly to business leaders and other scientists, have a desire to make a large business impact for customers using econometrics, data science and strong execution and completion skills for major, highly-visible strategic projects under fast-paced business deadlines. The role involves both building data products, i.e. automated and productionized models at scale, as well as pricing, plan structure, benefits/proposition, and other strategic decisions including customer churn reduction. Amazon Business (www.amazon.com/business) is an online store that combines the selection, convenience and value customers have come to know and love from Amazon, with new features and unique benefits tailored to the needs of businesses. Amazon Business provides easy access to hundreds of millions of products – everything from IT and lab equipment to education and food-service supplies. Amazon Business customers also enjoy a variety of benefits, including business-only pricing and selection, a multi-seller marketplace, single- or multi-user business accounts, Business Prime, approval workflow, purchasing system integrations, payment solutions, tax exemptions, dedicated customer support and more. Business Prime is a paid subscription service for verified business, charity or government organizations that provides the familiar Prime shopping experience end users love at home, with pricing plans and benefits that are suited for work. Business Prime now serves customers throughout the world, with a tiered pricing model currently based on number of users, and associated benefits with different willingness to pay and cost to serve profiles. Our customers range from government entities with tens of thousands of users to sole proprietors, each with different micro-economic characteristics.
Senior Economist, Causal Machine Learning
US, WA, Bellevue
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. 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.
Economist III, CMO
US, WA, Seattle
Do you have a passion for diving deep to uncover key insights that drive critical business decisions? If yes, the Campaigns Measurement and Optimization (CMO) team is looking for talented individuals with your enthusiasm and skills to work as part of the team. We are looking for a Senior economist with marketing measurement, experimentation and causal inference background, who is curious, driven, and passionate about marketing insights and analytics. 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. CMO’s mission is to make Amazon’s marketing the most measurably effective in the world. Our long-term objective is to measure the incremental impact of all Amazon’s marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon’s marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance, we will lead the Amazon worldwide marketing community by providing critical cross-country insights that can power marketing best practices and tenets globally. In this role, you will be a technical leader to design and run Randomized Control Trials and large-scale online experiments to measure the performance of Amazon's marketing cross all marketing channels, geographies and businesses. You will lead scientists and engineers to develop both experimental and observational models to understand customer behavior and how customers respond to Amazon’s advertisement. You will drive innovation to combine experiment results with observational model outputs to build more accurate marketing measurement solutions. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and development and deployment of the measurement science models, real-time inference, and cross-channel orchestration. As a successful economist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in causal inference and experiment design, preferably has experience leveraging experimental model to calibrate observational model. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will coach and guide scientists in the team to grow the team’s talent and scale the impact of your work. You will also communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA | Sunnyvale, CA, USA | Irvine, CA, USA
Sr Economist, Amazon Search, Search Data Science
US, WA, Seattle
Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide. Our team leads the data science and analytics efforts for the search page and we own multiple aspects of understanding how we can measure customer satisfaction with our experiences. This includes building science based insights and novel metrics to define and track customer focused aspects. We are looking for a senior economist to focus on measuring the quality of our most strategic investments and define tradeoff frameworks for decision making. This includes new CX paradigms like conversational shopping (LLMs) which may shift customer behavior in hard to detect ways, and have impact on upstream and downstream Amazon systems like logistics and selection. About the team The mission of the Search Data Science team is to build a world class shopping experience that delights customers. We focus on the long term and big picture, ensuring that the search page is balancing strategic trade-offs. We bring to this effort expertise in constrained optimization, causal inference, and marketplace equilibrium effects. We build systems, metrics, and mechanisms to ensure that product decisions are scientifically sound. We develop models to estimate the downstream dollar value of the quality of the experience. We spend time on evaluating experiments to develop durable learnings.
Principal Economist, Stores Ads Monetization
US, WA, Seattle
Do you ever struggle to explain your work? How's this: "Do you shop at Amazon?” Every day, tens of millions of customers visit Amazon to discover, research, and buy products. Millions of interactions are processed each hour, as customers navigate and explore our vast selection of products, features, and services around the world. The Amazon Stores Advertising Team’s vision is to enable customers to discover products they love from brand owners around the world. Amazon Stores are the product showroom for the “everything store”, our reach and impact uniquely positions us to innovate on behalf of our customers. The Stores Advertising Team partners with organizations across Amazon to drive high-quality advertising experiences across geographies, intents, missions, products and businesses; while ensuring a cohesive, lovable shopping experience. We are looking for a Principal Economist to establish the econ charter of the Amazon Stores Advertising Team. You will work with science and business leaders across Amazon to build econometrics models to improve ads monetization decisions in Amazon stores. You will partner closely with teams in Advertising, Weblab, Search, and Personalization to influence their roadmap, challenge their assumptions, and maximize the long-term success of our stores. Where possible, you will design and conduct experiments to estimate the long term impact of new ads experiences on customers and advertisers. You will influence the design of new ads products that maintain a lovable shopping experience. Key job responsibilities - Partner with teams across Amazon to raise accuracy of measurement of short and long term impact of ads on customer experience - Establish economic frameworks to improve ads monetization decisions in Amazon Stores - Design and run experiments to increase understanding of ads impact on advertisers, publishers, and customers - Act as the scientific authority for the Amazon Stores Advertising team in front of senior Amazon leaders and other science teams for economic related topics - Help craft the multi-year science strategy for the organization About the team This role is within a brand-new organization focused on delighting customers while driving revenue. Prospective candidates should have the desire and capability to drive results from the ’ground floor’ of an impactful and important charter.
Economist, Ads Econ
US, NY, New York
The Ads Econ Team within Digicon is looking for an experienced PhD economist. You will lead science projects using cutting edge econometrics and ML to advance science, especially behind our advertising business. Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses a combination of econometrics, machine learning, and data science to build disruptive products for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to senior leadership. You will also be responsible for developing the economics behind the revenue and pricing mechanisms for Amazon's budding automotive efforts. Location could be Seattle, Los Angeles, or New York City. Key job responsibilities Leverage econometrics and ML models to optimize advertising strategies on behalf of our customers. Influence key business and product decisions based on insights from models you develop. Identify and pitch new opportunities to leadership that are suggested by the data. Partner with other science leaders throughout Amazon to develop consistent and repeatable solutions. Design and analyze experiments (A/B testing etc.) to evaluate different strategies. Develop revenue and pricing strategies that meet the needs of Amazon, our customers, and our business partners. Work with other scientists, software developers, and product partners to implement your solutions.
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