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Job summaryThe Market Intelligence team for Workforce Staffing applies science, data and insights to optimize hiring for Amazon’s largest candidate population – Tier 1 Associates. Amazon's hourly workforce brings the magic of Amazon’s industry-leading customer fulfillment to life. The pace at which job creation, hiring, and growth must happen to support the scale and complexity of Amazon businesses is a problem Amazon is uniquely qualified to solve and innovate on. Workforce Staffing literally hires by the hundreds of thousands across multiple business lines, job types, and shift configurations. The Market Intelligence team in particular focuses on applying labor market, competitor, and candidate preference intelligence to enhance job offerings, mitigate operational risk, and sustain Amazon position in the market. Come join a team that is continually shaping and writing the future of the hourly worker landscape.Amazon is seeking an industry-leading Economist as a senior advisor on its most pressing labor and staffing challenges to grow and innovate its singular customer fulfillment experience 10x into the future. In this role, you would build models, frameworks, and serve as a senior science advisor and consultant across a broad science portfolio comprising labor market intelligence, candidate research, employer branding, and marketing analytics. This individual will brief and influence C-suite and VP-level decisions on billion-dollar operational and strategic decisions. This role resides within a unique cross-functional science, engineering and product organization that is vertically integrated to deliver innovative intelligence and scenario analysis solutions to Amazon operations. Influence the roadmap and raise the bar on the science and innovations on Amazon's path to being earth's best and safest employer.
US, WA, Seattle
Job summaryAmazon Web Services (AWS) is obsessed with ensuring the success of our customers. We want to nurture many new customers through use of technical support, credits, and training programs. To this end, we need to understand what types of customers respond the most to these different benefits. Can we tell who needs help from the sales force vs. those who are more motivated by sticker price? Do the impacts of credits or sales help vary by customer tenure, or industry? These are the types of questions we'll answer to help drive the growth of AWS.Job Locations:· Seattle, WA· Dallas, TX· Arlington, VA· Boston, MA· Vancouver, CAKey job responsibilitiesBeyond the usual technical skills, ownership, customer obsessions, and deliver results are key for this team. We need people who can understand customer needs, build a prototype, collect feedback from the customer, build some more, lather, rinse and repeat. Our team contains a wide diversity of tech talent and we can get you help when you're blocked. But we do need you to understand your customers' requirements and work backwards.About the teamWe're a team of economists, data and applied scientists, and engineers who work on projects to help make the best use of AWS's thousands of talented sales representatives. We have great data support from our sister teams and have more than tripled our team size by thinking big and delivering. We'd love to chat with you and answer any questions you have!
US, VA, Arlington
Job summaryThe Central AWS Econ team is dedicated to bringing the most trustworthy evidence-based analysis to the most strategic decisions for AWS leadership.Our studies impact strategic investments, service business model, resource allocation, product priorities and pricing models, go-to-market motions and more.This economist role partners with AWS business leaders across the organization to define and deliver on economic questions that guide their most strategic decisions. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges and ambiguous starting points, and possesses strong communication skills to effectively interface and collaborate with product, finance, planning and business teams.Specific questions include developing supporting economics for new business model, evaluating the relationship between short and long term growth, mapping and affecting the customer journey through different AWS products and cloud technologies.The Central AWS Econ team is dedicated to answering these (and many more) questions using quantitative, economic and statistical methods.Key Responsibilities:· Frame and conduct economic studies, from question definition to and communicating practical implications to senior leadership· Develop new repeatable data analysis pipelines to be used by non-economists
US, WA, Bellevue
Job summaryWhere will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Principal Economist to provide thought-leadership to help answer these questions. You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements, build econometric models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems.Key job responsibilities• You understand the state-of-the-art in time series and econometric modeling.• You apply econometric tools and theory to solve business problems in a fast moving environment.• You excel at extracting insights and correct interpretations from data using advanced modeling techniques.• You communicate insights in a digestible manner to senior leaders in Finance and Operations within the company.• You are able to anticipate future business challenges and key questions, and have the ability to design modeling solutions to tackle them.• You have broad influence over the Topline team’s scientific research agenda and deliverables.• You contribute to the broader Econ research community in Amazon.• You advise other economists on scientific best-practices and raise the bar of research.• You will actively mentor other scientists and contribute to their career development.
SG, Singapore
We are seeking a seasoned Senior Economist to accelerate the growth of Amazon Prime through econometrics and data analytics. Our vision is for Prime to be the Earth’s largest and most loved membership program. We look forward to partnering with you to advance our innovation on customers’ behalf.Amazon has a trailblazing track record of working with Ph.D. economists in the tech industry and offers a unique environment for economists to thrive. As an economist at Prime, you will apply the frontier of econometric and economic methods to Amazon’s terabytes of data and intriguing customer problems. Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves.In this role, you will build ground-breaking, state-of-the-art causal inference models to guide multi-billion-dollar investment decisions around the global Amazon marketplaces. You will own, execute, and expand a research roadmap that connects science, business, and engineering and contributes to Amazon Prime’s long term success. As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon’s economist community in Asia.The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced and ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results.Job responsibilities· Work with Product, Finance, Data Science, and Data Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches.· Innovate on how Prime can leverage data analytics to grow faster.· Contribute to building a strong data science community in Amazon Asia.
SG, Singapore
We are seeking a seasoned Senior Economist to accelerate the growth of Amazon Prime through econometrics and data analytics. Our vision is for Prime to be the Earth’s largest and most loved membership program. We look forward to partnering with you to advance our innovation on customers’ behalf.Amazon has a trailblazing track record of working with Ph.D. economists in the tech industry and offers a unique environment for economists to thrive. As an economist at Prime, you will apply the frontier of econometric and economic methods to Amazon’s terabytes of data and intriguing customer problems. Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves.In this role, you will build ground-breaking, state-of-the-art causal inference models to guide multi-billion-dollar investment decisions around the global Amazon marketplaces. You will own, execute, and expand a research roadmap that connects science, business, and engineering and contributes to Amazon Prime’s long term success. As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon’s economist community in Asia.The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced and ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results.Job responsibilities· Work with Product, Finance, Data Science, and Data Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches.· Innovate on how Prime can leverage data analytics to grow faster.· Contribute to building a strong data science community in Amazon Asia.
US, CA, San Diego
Job summaryAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
US, WA, Bellevue
Job summaryAmazon is looking for a motivated and innovative economist with strong analytical skills and practical experience to join our Middle Mile Marketplace Science team, part of our Middle Mile Planning Research and Science (mmPROS) organization.Middle Mile Air and Ground represents one of the fastest growing logistics areas within Amazon. Amazon Transportation Services transports millions of packages via air and ground and continues to grow year over year. Our organization, mmPROS, is charged with developing science strategy, models, algorithms, analysis for Amazon Transportation Services. The Middle Mile Marketplace Science team is responsible for the science behind Amazon’s dynamic two-sided marketplace within the transportation space and the underlying algorithms needed to efficiently match available capacity provided by tens of thousands of independent carriers with both internal and external demand, and to manage real-time spot pricing and contract pricing in this setting. These algorithms rely heavily on the latest advances in economics, optimization, and machine learning. In addition, Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.The Middle Mile Marketplace Science team in mmPROS is looking for an economist to help create and drive the long-term vision for how we design and operate our transportation marketplace. As an economist, you will work with experts in data science, pricing and revenue management, and operations research and optimization, as well as product managers, SDEs, carrier managers, and business intelligence engineers to help Amazon Transportation Services optimize marketplace operations. You will be expected to own the development of models and to manage the modelling and validation work for your analysis, working with SDEs to integrate the models into production systems.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. He/she will be an expert in marketplace design and have experience manipulating large data sets. The role with also include running experiments to validate developed approaches. This high-impact role provides a great opportunity to demonstrate the ability to dive deep, deliver results, think big, invent and simplify, and earn trust. It will also allow for combining machine learning techniques with econometrics to improve our ability to serve customers.Key job responsibilities• Leverage techniques from econometrics, mechanism design, auction theory, computer science, and operations research to improve the performance of the Amazon transportation marketplace.• Build, estimate, and defend causal statistical models.• Influence key business decisions in potentially adjusting labor plans, shift structures, compensation and/or benefits to increase Amazon's appeal across a diverse workforce.• Work with M3S Applied and Research Scientists and leadership to develop the research roadmap.• Identify and pitch new opportunities to leadership that are suggested by the data.• Review and audit models, analysis, and results for other scientists, both junior and senior.• Partner with other science leaders throughout Amazon to effective solutions.
US, WA, Seattle
Job summaryWorkforce Staffing is responsible for hiring hourly associates into our global fulfillment operation. Each year we hire hundreds of thousands of associates across the globe. Market Intelligence, a subsidiary of Workforce Staffing, applies data and insights to optimize the experience and operations for Amazon’s largest candidate population who bring the magic of Amazon’s industry-leading brand promise for customer fulfillment to life. We are an interdisciplinary team that combines the talents of economics, science, analytics, and engineering to develop and deliver solutions that are continually shaping and writing the future of the hourly worker job offering landscape.We are looking for an economist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor or related applied economics. They will collaborate with business partners to define and deliver economic thinking that guide strategic decisions. They will work closely with data scientists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis to business actions that have a major impact.Ideal candidates will own key inputs to all stages of research projects, including data requirements, model development, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.**Inclusive Team Culture**Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.*Flexibility*It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.*Mentorship & Career Growth*We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
CN, 31, Shanghai
Economist – is a new role in the AWS GCR SSOE. The goal is to provide predictive analytics and customer insights, so that we can better support GTM strategy and sales overage to GCR customers. We are looking for a results-driven Economist to help build our technical economics capability in the GCR. He/She will own key inputs over customer coverage, sales productivity, sales forecast and customer analytics. He/She will work closely with global economist team, data scientists to design new frameworks that systematically identify low touch machine driven recommendations that propel customer growth while creating a meaningful economic impact for AWS.The key strategic objectives for this role include:· Provide data-driven guidance and recommendations on strategic questions posed by the GCR leadership.· Design and analysis of account coverage experiments and define and analyze success metrics across sales coverage optimization, pricing and go-to-market programs.· Identify opportunities/tests that drive product discovery, new customer acquisition or usage frequency with the end goal to drive growth.. 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.· While the scope will be focused on GCR, the economist will also partner with economists in the US team and think of projects with Global scope. Functionally decompose complex problems into simple, straight-forward solutions.
US, WA, Seattle
Job summaryThe F3 (Fresh, Food, Fast) organization leads the innovation of Amazon’s ultra-fast grocery product initiatives including fresh groceries, household essentials, and its most popular products from Amazon.com. In this space Amazon aims to delight customers by delivering orders faster than ever before. With programs like Amazon Fresh and Prime Now, Prime members can now skip a trip to the store by shopping on the Amazon app and website for products like grocery staples, paper towels, shampoo, books, toys, batteries and more with orders delivered right to their door as quick as an hour.The Grocery Management Science team in F3 is looking for a senior economist to determine the long-term vision for how we manage selection of products for Fresh. As an economist, you will work with product managers, SDEs, vendor managers, and business intelligence engineers to help the Fresh organization determine optimal selection in stores and online through modelling of key customer behavior such as substitutability/complementarity of products, expected demand, etc. You will be expected to own the development of econometric models and to manage the modelling and validation work for your analysis products, working with SDEs to integrate the models into production systems.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. He/she will be an expert in drawing customer insights through structural modelling techniques and have experience manipulating large data sets. The role will also include running experiments to validate developed econometric approaches. This high-impact role provides a great opportunity to demonstrate the ability to dive deep, deliver results, think big, invent and simplify, and earn trust. It will also allow for combining machine learning techniques with econometrics to improve our ability to serve customers.
US, WA, Seattle
Job summaryAmazon Web Services (AWS) is obsessed with ensuring the success of our customers. To this end, we want to better understand each type of customer we have and at what point in their Cloud journey they'd benefit from the different types of help AWS can provide. For whom is temporary credit more helpful than a discount? What are the returns to salesperson effort for a mature vs. a new AWS customer? What other customer features tell us that it's time to reach out and build a relationship?We're looking for someone with a background in program/policy evaluation. ML skills are a huge plus here, as you'll be working to find new patterns/clusters in large datasets.Basic Qualification· PhD in Economics or a related field· Three years of work experience in the private sector· Strong proficiency in at least one of the following statistical software packages: Python, R, Stata, or MatlabPreferred Qualifications· Strong background in econometrics (e.g., forecasting, time series, panel data, program evaluation, and/or high dimensional problems), probability and statistics, economic theory, and quantitative methods· Strong empirical research track record in applied macroeconomics, econometrics, finance, labor economics, public economics, industrial organization, or a related field· Proven experience with the design and development of machine learning solutionsDemonstrated ability to design solutions to real world business questions.· Strong verbal and written communication skills (e.g., ability to write and present narratives to different levels of leadership).Ability to work in a very fast-paced business environment· Experience with programming languages such as Python, Java, C++, Ruby, and /or Big Data processing platforms such Hadoop, Map Reduce, Spark is a plus.· Ability to work in a fast-paced business environment· Experience with Enterprise Sales data (e.g., SFDC)Job Locations: Seattle, WA, Dallas, TX, Boston, MA, Arlington, VAKey job responsibilitiesFind heterogeneous treatment effects to help the business prioritize interventions, use large and small sample methods for causal inference.About the teamWe're a team of economists, engineers, data scientists and research scientists who are responsible for using data to help maximize the productivity of the thousands of AWS sales reps working to grow the business. We mostly build prototypes and write white papers, but as our products become successful and adopted we move them to production as well.
US, WA, Seattle
The Central AWS Econ team is dedicated to bringing the most trustworthy evidence-based analysis to the most strategic decisions for AWS leadership.Our studies impact strategic investments, service business model, resource allocation, product priorities and pricing models, go-to-market motions and more.This economist role partners with AWS business leaders across the organization to define and deliver on economic questions that guide their most strategic decisions. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges and ambiguous starting points, and possesses strong communication skills to effectively interface and collaborate with product, finance, planning and business teams.Specific questions include developing supporting economics for new business model, evaluating the relationship between short and long term growth, mapping and affecting the customer journey through different AWS products and cloud technologies.The Central AWS Econ team is dedicated to answering these (and many more) questions using quantitative, economic and statistical methods.Key job responsibilities· Use economic theories to structure ambiguous problems· Lead and conduct economic studies, including developing and communicating practical implications to senior leadership· Mentor and develop junior economists and data scientists· Develop new repeatable data analysis pipelines to be used by non-economists
GB, London
Do you want to be part of the next big thing when it is still Day 0?Our Customer Experience Strategy team aims to help achieve Amazon’s mission: to be Earth's Most Customer-Centric Company. We relentlessly focus on raising the bar and driving change across all of Amazon, including Video, Alexa, Seller, and Retail.As part of this mission, we are looking for an experienced Economist or Data Scientist with experience in causal inference and quantitative analysis to dive deep into our customer engagement strategy and use data to understand how to optimally measure the impact of our Customer engagement activities, focused primarily on Social Media in the first phase. We aim to draw business driven insights by identifying gaps and opportunities in the end-to-end customer experience.Are you up for the challenge? #LetsdothisKey responsibilities:With a multi-disciplinary team of experts, you will leverage your applied economics experience to understand how we can best measure the impact of customer engagement through our marketing activities. For example, how do you translate social media into value for the business?We are particularly interested in candidates with a research background in customer behavior, applied microeconomics, data science, causal inference, quantitative analysis and marketing, or some combination of these fields. However, we want to talk with any experienced scientist or economist with an interest in working on innovative, strategic problems with significant business impact across digital marketing.
US, WA, Seattle
Job summaryAmazon's digital economics team is looking for an Economist Manager to help build and grow a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data. You will work with us to develop models of consumer and advertiser behavior. You will work at the intersection of engineering, economics, and data science.If you have a background in economics, mathematics, or statistics and have experience building and mentoring science teams, this is the job for you.Examples of the problems you will manage:· Auction and mechanism design· · Estimation and implementation of Bayesian statistical models· · Low-latency implementation of constrained optimization problemsAbout Amazon's advertising business:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace team optimizes the systems and ad placements to match demand with supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for Advertisers to meet their business objectives and continue to build a big, sustainable business that helps Amazon continuously innovate on behalf of all customers.
US, WA, Seattle
Job summaryAre you motivated by ambiguity? Do you want to apply your microeconometric skills to solve real problems, and to help real people? Are you interested in making Amazon Earth’s Best Employer?We are looking for an economist with expertise in applying the methods of causal inference, experimental design, and machine learning to topics in labor, personnel, education, and health economics. As part of a team of experienced economists and data scientists, you will get to work on challenging analytical problems, and to apply econometrics and economic theory at scale.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.Key job responsibilitiesYou will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. You will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, incorporate partner feedback, and deliver successful solutions.About the teamWe are a collegial team of interdisciplinary researchers in People eXperience and Technology (PXT). We leverage data and rigorous analysis to help Amazon attract, retain, and develop one of the world’s largest and most talented workforces.
US, WA, Seattle
Job summaryThe F3 (Fresh, Food, Fast) organization leads the innovation of Amazon’s ultra-fast grocery product initiatives including fresh groceries, household essentials, and its most popular products from Amazon.com. In this space Amazon aims to delight customers by delivering orders faster than ever before. With programs like Amazon Fresh and Prime Now, Prime members can now skip a trip to the store by shopping on the Amazon app and website for products like grocery staples, paper towels, shampoo, books, toys, batteries and more with orders delivered right to their door as quick as an hour.The Grocery Management Science team in F3 is looking for an economist to help create and drive the long-term vision for how we manage selection of products for Fresh. As an economist, you will work with product managers, SDEs, vendor managers, and business intelligence engineers to help the Fresh organization determine optimal selection in stores and online through modelling of key customer behavior such as substitutability/complementarity of products, expected demand, etc. You will be expected to own the development of econometric models and to manage the modelling and validation work for your analysis products, working with SDEs to integrate the models into production systems.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. He/she will be an expert in drawing customer insights through structural modelling techniques and have experience manipulating large data sets. The role with also include running experiments to validate developed econometric approaches. This high-impact role provides a great opportunity to demonstrate the ability to dive deep, deliver results, think big, invent and simplify, and earn trust. It will also allow for combining machine learning techniques with econometrics to improve our ability to serve customers.
US, WA, Seattle
Job summaryCore AI is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve AI and ML problems that have high risk with abnormally high returns. Our team leverages the strengths of our engineers and scientists to build solutions for some of the toughest business problems here at Amazon.We are looking for a seasoned economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.This role will be to work within Core AI to help support research and development on rapid proofs of concept for high-impact projects. The economist will have access to engineering and econometric tools, as well as Amazon's Scholar Residency Program, which consists of world-class academic scientists and researchers collaborating with internal partner teams to facilitate the delivery of Scholar led science into engineering systemsResponsibilities:* Work within Core AI teams to consult with internal partner terms on collaboration opportunities and to assess potential for impact.* Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model.* Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.
US, WA, Seattle
The Sustainability Science & Innovation (SSI) team is both the scientific authority for sustainability at Amazon and its sustainability research and development (R&D) team. SSI provides the direction to lead our company to sustainable practices. Our models and metrics inform Amazon’s most senior leaders on Think Big opportunities and critical sustainability issues facing Amazon so that they may place big bets in a variety of sustainability topics (energy, materials, water, waste, products, social responsibility, etc.) to take care of the planet, benefit customers, and enable continued business growth. Our primary customer is senior leadership setting the vision for the company, but we also work closely with decision-makers in the sustainability team and business teams around the company to understand and implement that vision.We are looking for an experienced hands-on technical leader to join our organization and grow a team of Economists. This team will build and maintain data infrastructure, simplify data access and unlock self-service insights. Through data analysis and statistical modeling, this team will create feedback loops to continuously improve the sustainability decisions Amazon makes on behalf of its customers. The ideal candidate will have strong data engineering fundamentals and able to hire and grow individuals focused on building datasets and surfacing metrics to help SSI advance its mandate of automated modeling. They will partner with key stakeholders, including Software Development Managers, Product Managers, and Scientists within SSI and its parent World Wide Sustainability (WWS) organization, to define analytics strategy and ensure it’s aligned with the data architecture and business strategy. The ideal candidate will challenge assumptions and turn conjectures and anecdotes into data-supported facts to inform SSI’s product vision and establish data-first culture.Key Responsibilities include:· Manage sustainability-related data projects through all stages: ideation, modeling, data collection, data analysis, data visualization, and reporting.· Develop tools and methods to harvest and continuously update data to provide sustainability insights at scale.· Respond to time-critical questions from multiple business teams.· Professionally communicate to senior business leaders.· Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.
US, WA, Bellevue
The Amazon Supply Chain Optimization Technology (SCOT) organization is looking for an experienced and motivated PhD Economist to work on exciting and challenging problems related to Amazon's worldwide inventory planning. SCOT provides unique opportunities to both create and see the direct impact of your work on billions of dollars’ worth of inventory, in one of the world’s most advanced supply chains, and at massive scale.As an Economist in our team, your work will help Amazon provides the best customer experience on inventory availability, selection and delivery speed worldwide. You will build large-scale econometric models using our world-class data systems and state-of-the-art cloud computing technologies. You will collaborate with some of the brightest economists, scientists and software engineers to address high-impact business problems and contribute to the design of automated systems with global reach.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) assess and interpret empirical relationships using large data sets; and (3) design long-term causal estimation models with scalability.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.