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Economist, AWS Marketing Science
US, VA, Arlington
Amazon Web Services (AWS) is building a world-class marketing organization, and we are looking for an experienced Economist to join the central data and science organization for AWS Marketing. This candidate will develop innovative solutions to measure the return on marketing investments. They will work closely with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of innovative measurement solutions. They will interact with functional leaders owning events (e.g. re:Invent, summits, webinars), paid media (paid search, paid social, display), AWS-owned channels (email, website, console) as well as lead management organization to drive the development, fine-tuning and adoption of the consistent measurement framework across these diverse initiatives. We seek candidates with an entrepreneurial spirit who want to make a big impact on AWS growth. They will develop strong working relationships and thrive in a collaborative team environment. They will have the creativity, curiosity, and strong judgment to work on high-impact, high-visibility products to improve the experience of AWS leads and customers. Key job responsibilities - Apply your expertise in causal inference and ML to develop systems to measure B2B marketing impact - Develop and execute science products from concept, prototype to production incorporating feedback from customers, scientists and business leaders - Identify new opportunities for leveraging economic insights and models in the marketing space - Write technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds
Economist, Seller Growth Science, New Seller Success Science Team (SPARC)
US, WA, Seattle
Are you passionate to join an innovative team of scientists who use statistical techniques to create state-of-the-art solutions to help Selling Partners and Customers on Amazon? Want to work on the 3P Seller business that is the lifeblood of Amazon? Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. Our team will invent and innovate across technology, processes and people to grow the program, improve engagement and satisfaction and enable scalable solutions. We are looking for an L6 Economist to lead us to identify data-driven insight and opportunities to improve our seller recruitment strategy and drive new seller success. As a successful economist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of econometric models and advanced quantitative techniques for answering specific business questions, and 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 economists and scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research). What you'll do: · Provide data-driven guidance and recommendations on strategic questions posed by the Selling Partner Service leadership. · Conduct econometric analysis and randomized experiments to uncover growth levers for Sellers, driving Seller success. . Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results. · Provide technical and scientific guidance to your team members, both junior and senior. · Communicate effectively with senior management as well as with colleagues from science, engineering, and business backgrounds.
Economist - Marketing Measurement
US, WA, Seattle
Amazon’s Customer Behavior Analytics org is looking for an Economist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. We work closely with business stakeholders and strive to continuously produce tangible impact on the company’s strategic and tactical planning and operations. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You will apply your econometrics expertise to identify opportunities for further research and to provide insights that drive larger initiatives. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine/deep learning at scale to solve business problems. You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization. Key job responsibilities The main responsibilities for this position include: - Apply your expertise in causal modeling and ML to develop systems that describe how Amazon’s marketing campaigns impact customers’ actions - Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions - Improve upon and simplify our existing solutions and frameworks - Review and audit modeling processes and results from other economists/scientists, both junior and senior - Work with marketing leadership to align our measurement plan with business strategy - Formalize assumptions about how our models are expected to behave and explain why they are reasonable - Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making - Develop and document scientific research to be shared with the greater science community at Amazon About the team 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.
Senior Economist - Marketing Measurement, MIM
US, WA, Seattle
Amazon’s Customer Behavior Analytics org is looking for an experienced Economist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. We work closely with business stakeholders and strive to continuously produce tangible impact on the company’s strategic and tactical planning and operations. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You will apply your econometrics expertise to identify opportunities for further research and to provide insights that drive larger initiatives. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine learning at scale to solve business problems. You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization. About the team 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.
Economist II, Private Brands Inteligence
US, NY, New York
The Amazon Private Brands science advance team applies Machine Learning, Statistics and Econometrics/economics to solve high-impact business problems, develop prototypes for Amazon-scale science solutions, and optimize key business functions of Amazon Private Brands and other Amazon orgs. We are an interdisciplinary team, using cutting edge science and technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon, covering areas such as pricing, discovery, negotiation, forecasting, supply chain and product selection/development. We are looking for an outstanding Economist who is strong in applying cutting edge econometrics and machine learning methodologies to conduct empirical research and implement science solutions that solve real-world business problems. The candidate will not only implement and validate models on large scale data, and but also help business and tech partners understand the results and turn them into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for 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. 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.
Economist II, AWS Central Economics
US, WA, Seattle
Our team develops econometric models to inform AWS's investments across different sales roles, programs, go-to-market motions, and partners. We work closely with business, finance, and operations leaders, influencing strategic decisions across AWS. The ideal candidate will posses strong knowledge of state of the art causal estimation techniques, and be curious and excited to apply these in challenging real-world settings. Key job responsibilities The key job responsibilities of this role include: * Designing repeatable observational studies based on the decision and available data. * Proposing operational decisions to improve estimation confidence (e.g. staggered roll-out designs) * Working with business leaders to connect between the studies and findings and their decisions. * Proposing and developing new data collection mechanisms to improve future studies. * Identifying new opportunities for econometric causal estimation to increase AWS revenue and improve AWS operations and decision-making.
Economist, AWS Marketing Science
US, WA, Seattle
Amazon Web Services (AWS) is building a world-class marketing organization, and we are looking for an experienced Economist to join the central data and science organization for AWS Marketing. This candidate will develop innovative solutions to measure the return on marketing investments. They will work closely with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of innovative measurement solutions. They will interact with functional leaders owning events (e.g. re:Invent, summits, webinars), paid media (paid search, paid social, display), AWS-owned channels (email, website, console) as well as lead management organization to drive the development, fine-tuning and adoption of the consistent measurement framework across these diverse initiatives. We seek candidates with an entrepreneurial spirit who want to make a big impact on AWS growth. They will develop strong working relationships and thrive in a collaborative team environment. They will have the creativity, curiosity, and strong judgment to work on high-impact, high-visibility products to improve the experience of AWS leads and customers. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Key job responsibilities - Apply your expertise in causal inference and ML to develop systems to measure B2B marketing impact - Develop and execute science products from concept, prototype to production incorporating feedback from customers, scientists and business leaders - Identify new opportunities for leveraging economic insights and models in the marketing space - Write technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds
Economist, Seller Fees Science
US, WA, Seattle
We are seeking an L5 economist to apply to help evaluate, and advance the science of, determining third-party seller fees and incentives. The working environment is collaborative and interdisciplinary. The successful candidate will: Leverage economic methods like modeling and impact estimation to address key issues using large, real-world datasets; Partner with PMs and BAs to identify data and define metrics evaluating business initiatives and making recommendations; Execute from idea to implementation as an integral part of cross-functional teams; Thrive in a highly complex and fast pacing environment. Key job responsibilities Build causal inference modeling to evaluate the effects of policy changes, such as fee adjustments and new fee structures, on seller behaviors and business metrics; Analyze how sellers and key outcomes are impacted by variations in growth strategies; Design experiments to measure pilot programs and support scaling-up effort; Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make science-based decisions. About the team The Seller Fees team owns the end-to-end fees experience for third-party sellers WW. We develop monetization strategies, Economics and Science models, and software that accurately charge Sellers fees while optimizing long-term Amazon growth; thereby allowing Sellers to offer Customers outstanding selection at sharp prices. Our systems let Amazon teams launch and change fees in ways that build Seller trust, ensuring every transaction is accurately calculated and transparent. The Fee domain includes Fee Strategy, Seller Experience, Seller Economics, ML, Data Science and Analytics, payments accuracy and integrity, and provides scalable technology to monetize Amazon’s services available to third-party sellers.
Economist, Seller Fees Science
US, WA, Seattle
We are seeking an L6 economist to apply to help evaluate, and advance the science of, determining third-party seller fees and incentives. The working environment is collaborative and interdisciplinary. The successful candidate will: Leverage economic methods like modeling and impact estimation to address key issues using large, real-world datasets; Partner with PMs and BAs to identify data and define metrics evaluating business initiatives and making recommendations; Execute from idea to implementation as an integral part of cross-functional teams; Thrive in a highly complex and fast pacing environment. Key job responsibilities Build causal inference modeling to evaluate the effects of policy changes, such as fee adjustments and new fee structures, on seller behaviors and business metrics; Analyze how sellers and key outcomes are impacted by variations in growth strategies; Design experiments to measure pilot programs and support scaling-up effort; Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make science-based decisions. Serve as the tech lead for the causal inference team at Fee Science. About the team The Seller Fees team owns the end-to-end fees experience for third-party sellers WW. We develop monetization strategies, Economics and Science models, and software that accurately charge Sellers fees while optimizing long-term Amazon growth; thereby allowing Sellers to offer Customers outstanding selection at sharp prices. Our systems let Amazon teams launch and change fees in ways that build Seller trust, ensuring every transaction is accurately calculated and transparent. The Fee domain includes Fee Strategy, Seller Experience, Seller Economics, ML, Data Science and Analytics, payments accuracy and integrity, and provides scalable technology to monetize Amazon’s services available to third-party sellers.
Economist, Seller Fees Science
US, WA, Seattle
We are seeking an L5 economist to apply to help evaluate, and advance the science of, determining third-party seller fees and incentives. The working environment is collaborative and interdisciplinary. The successful candidate will: Leverage economic methods like modeling and impact estimation to address key issues using large, real-world datasets; Partner with PMs and BAs to identify data and define metrics evaluating business initiatives and making recommendations; Execute from idea to implementation as an integral part of cross-functional teams; Thrive in a highly complex and fast pacing environment. Key job responsibilities Build causal inference modeling to evaluate the effects of policy changes, such as fee adjustments and new fee structures, on seller behaviors and business metrics; Analyze how sellers and key outcomes are impacted by variations in growth strategies; Design experiments to measure pilot programs and support scaling-up effort; Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make science-based decisions. About the team The Seller Fees team owns the end-to-end fees experience for third-party sellers WW. We develop monetization strategies, Economics and Science models, and software that accurately charge Sellers fees while optimizing long-term Amazon growth; thereby allowing Sellers to offer Customers outstanding selection at sharp prices. Our systems let Amazon teams launch and change fees in ways that build Seller trust, ensuring every transaction is accurately calculated and transparent. The Fee domain includes Fee Strategy, Seller Experience, Seller Economics, ML, Data Science and Analytics, payments accuracy and integrity, and provides scalable technology to monetize Amazon’s services available to third-party sellers.
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