Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied econometricians in the trade. Amazon's Consumer Analytics team is looking for Economists join our efforts to build the next generation of analytics systems at Amazon. You'll work closely with machine learning scientists, finance partners, and senior leaders to make data-driven, principled decisions about marketing and program investments. Economists should have proficiencies in one or more of the following areas: . Data management . Causal modeling (e.g., using regression, propensity matching) . Experimental design . Programming in one or more statistics-oriented languages (Stata, Python, R) . Prediction and forecasting . Structural model design and estimation Economists work on a mixture of large-scale system design and theoretical economic and statistical problems in a fast-paced environment where creativity, speed, and careful work matter. econjobs Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: . PhD in Economics or related field . Two or more years of experience in a postdoctoral position; or, two or more years of experience in consulting, government or academic research . Hands on experience with at least one of the following: Matlab, R, SAS, Stata . Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods Preferred Qualifications: . Applicants with considerably more experience, including mid-career, are also strongly encouraged . Ability to work in a fast-paced business environment. . Strong research track record. . Effective verbal and written communications skills.
Sep 07, 2024
Full-time
Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied econometricians in the trade. Amazon's Consumer Analytics team is looking for Economists join our efforts to build the next generation of analytics systems at Amazon. You'll work closely with machine learning scientists, finance partners, and senior leaders to make data-driven, principled decisions about marketing and program investments. Economists should have proficiencies in one or more of the following areas: . Data management . Causal modeling (e.g., using regression, propensity matching) . Experimental design . Programming in one or more statistics-oriented languages (Stata, Python, R) . Prediction and forecasting . Structural model design and estimation Economists work on a mixture of large-scale system design and theoretical economic and statistical problems in a fast-paced environment where creativity, speed, and careful work matter. econjobs Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: . PhD in Economics or related field . Two or more years of experience in a postdoctoral position; or, two or more years of experience in consulting, government or academic research . Hands on experience with at least one of the following: Matlab, R, SAS, Stata . Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods Preferred Qualifications: . Applicants with considerably more experience, including mid-career, are also strongly encouraged . Ability to work in a fast-paced business environment. . Strong research track record. . Effective verbal and written communications skills.
At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon's Consumables team is looking for an analytical, driven, and creative leader to drive strategically important operational initiatives through business intelligence and leveraging the power of data science, statistical analysis, machine learning and other analytical methods. The Senior Data Scientist is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Retail and Operations partnerships. Though the primary focus area is US Consumables, this role will impact and inform how Amazon executes Consumables businesses on a global scale. Major responsibilities of this role include: Translate / Interpret . Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact. . Intake business requirements to define the right specialty solution on whether data science, research science, or business intelligence work will be needed. Measure / Quantify / Expand . Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. . Analyze historical data to identify trends and support decision making in areas like product discovery solutions, selection identification, and customer contacts. . Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. . Provide requirements to develop analytic capabilities, platforms, and pipelines. . Apply statistical or machine learning knowledge to specific business problems and data. Explore / Enlighten . Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed. . Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. . Make Decisions and Recommendations . Build decision-making models and propose solution for the business problem you defined . Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. . Utilize code (Python/R/SQL) for data analyzing and modeling algorithms The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential. Basic Qualifications: . Master's Degree in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative field. . 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) . Familiarity with various Data Science disciplines including descriptive analytics, optimization, probability, hypothesis testing, simulation & experimentation, regression, forecasting and machine learning. . Familiarity with various data visualization tools such as Tableau, Qlikview and QuickSight. . Able to guide the team to make the right scientific or technical trade-offs to meet long term/short-term business needs. Preferred Qualifications: . PhD Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Economics, or related field . 7+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) . Experience articulating business questions and using quantitative techniques to arrive at a solution using available data . Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. . Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data . Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer's organization . E
Sep 07, 2024
Full-time
At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon's Consumables team is looking for an analytical, driven, and creative leader to drive strategically important operational initiatives through business intelligence and leveraging the power of data science, statistical analysis, machine learning and other analytical methods. The Senior Data Scientist is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Retail and Operations partnerships. Though the primary focus area is US Consumables, this role will impact and inform how Amazon executes Consumables businesses on a global scale. Major responsibilities of this role include: Translate / Interpret . Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact. . Intake business requirements to define the right specialty solution on whether data science, research science, or business intelligence work will be needed. Measure / Quantify / Expand . Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. . Analyze historical data to identify trends and support decision making in areas like product discovery solutions, selection identification, and customer contacts. . Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. . Provide requirements to develop analytic capabilities, platforms, and pipelines. . Apply statistical or machine learning knowledge to specific business problems and data. Explore / Enlighten . Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed. . Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. . Make Decisions and Recommendations . Build decision-making models and propose solution for the business problem you defined . Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. . Utilize code (Python/R/SQL) for data analyzing and modeling algorithms The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential. Basic Qualifications: . Master's Degree in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative field. . 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) . Familiarity with various Data Science disciplines including descriptive analytics, optimization, probability, hypothesis testing, simulation & experimentation, regression, forecasting and machine learning. . Familiarity with various data visualization tools such as Tableau, Qlikview and QuickSight. . Able to guide the team to make the right scientific or technical trade-offs to meet long term/short-term business needs. Preferred Qualifications: . PhD Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Economics, or related field . 7+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) . Experience articulating business questions and using quantitative techniques to arrive at a solution using available data . Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. . Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data . Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer's organization . E
This is an opportunity to be a part of an initiative that will leverage a centralized data historian to analyze big data and enable strategic decision making to help shape the future of the Worldwide Fulfillment Network. The World Wide Business Transformation group combines the skills of top tier Technical PMs, Operations Engineers, and Program Managers to conduct statistical analysis, design machine learning models, and provide recommendations for incremental, emerging, and disruptive improvements initiatives across Operations. Our goal is to apply innovative data solutions to process improvement efforts across Amazon in areas such as artificial intelligence, data science, machine learning, computer vision, and other capacities to advance Amazon's performance. As a Business Intelligence Engineer, you will develop analytical solutions to business problems that utilize the highest standard of analytical rigor and data integrity. You use analytics to solve business problems. The analyses you perform will regularly require input and guidance from team members. You work towards team goals, using analytical best practices. You proactively and continually improve your level of knowledge about Amazon's business and relevant data resources. You use this knowledge to drive your team forward. You communicate professionally with your team and other teams in your division, knowing when to contribute and when to listen. Your work is accurate and thorough and you strive towards excellence. You will hold a highly critical role that requires interaction with leaders across Operations, Engineering, Amazon Robotics, Advanced Technology, and Amazon Fulfillment Technology. Some of the Problem that we need you help solving: . How do we standardize process management and reduce process/machine variation across Worldwide Operations? . Where should we be investing strategic resources? . How do we find predictive insights from masses of data to know where to focus operations improvements? You will have an opportunity to: . Coordinate directly with next generation project teams to establish measurement systems, machine learning models, design of experiments. . Publish findings, updates, and data driven recommendations from your team to Senior Leadership across Worldwide Operations. . Develop and maintain standard operating procedures for your team and their interactions across the organization. You should be able to: . You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. . You write high quality code to retrieve and analyze data. . You analyze and solve business problems at their root, stepping back to understand the broader context. . You develop pragmatic analyses and choose applicable solutions that add value to your business area. . You understand data resources and know how, when, and which to use (and which not to use). . You recognize and use advanced analytical techniques to solve business problems. . You develop analyses (whether fully formed or exploratory) for the business' sake, not for analyses' sake. . You seek to understand the business objectives relevant to your area. . You align your work to those objectives and seek to deliver business value. Basic Qualifications: . Bachelor's Degree required, preferably in Statistics, Math, Finance, Engineering, Business or a related field or equivalent experience . Industry experience in data engineering, business intelligence, data science, machine learning or related field with a track record of manipulating, processing, and extracting value from large datasets . Demonstrated strength in data modeling, SQL . Experienced in computer science fundamentals such as object-oriented design, data structures and algorithm design . Experience using R, Python, or other equivalent statistics and machine learning tools . Basics in software development- Java, Java Script, and SOM. . Proven results executing process improvements . Experience in Microsoft Office applications . Ability to travel both domestically and internationally. (up to 20%) . Ability to manage and work in a fast-paced, ambiguous environment . Ability to communicate effectively with multi-disciplinary teams. Preferred Qualifications: . Experience in statistical analysis tools (Minitab, SAS, SPSS, R, etc.) . Experience in structured analytical methodology (Statistical Hypothesis Testing, DMAIC, Six Sigma, etc.) . Experience in operational or manufacturing data sets and analytics . Proven Experience in Machine Learning with delivered results in an operations environment, hands-on experience working in data science and/or machine learning, data analytics/engineering using models and methods such as neural networks with cross-functional teams . Expertise in software development- Java, Java Script, and SOM 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.amazo
Sep 07, 2024
Full-time
This is an opportunity to be a part of an initiative that will leverage a centralized data historian to analyze big data and enable strategic decision making to help shape the future of the Worldwide Fulfillment Network. The World Wide Business Transformation group combines the skills of top tier Technical PMs, Operations Engineers, and Program Managers to conduct statistical analysis, design machine learning models, and provide recommendations for incremental, emerging, and disruptive improvements initiatives across Operations. Our goal is to apply innovative data solutions to process improvement efforts across Amazon in areas such as artificial intelligence, data science, machine learning, computer vision, and other capacities to advance Amazon's performance. As a Business Intelligence Engineer, you will develop analytical solutions to business problems that utilize the highest standard of analytical rigor and data integrity. You use analytics to solve business problems. The analyses you perform will regularly require input and guidance from team members. You work towards team goals, using analytical best practices. You proactively and continually improve your level of knowledge about Amazon's business and relevant data resources. You use this knowledge to drive your team forward. You communicate professionally with your team and other teams in your division, knowing when to contribute and when to listen. Your work is accurate and thorough and you strive towards excellence. You will hold a highly critical role that requires interaction with leaders across Operations, Engineering, Amazon Robotics, Advanced Technology, and Amazon Fulfillment Technology. Some of the Problem that we need you help solving: . How do we standardize process management and reduce process/machine variation across Worldwide Operations? . Where should we be investing strategic resources? . How do we find predictive insights from masses of data to know where to focus operations improvements? You will have an opportunity to: . Coordinate directly with next generation project teams to establish measurement systems, machine learning models, design of experiments. . Publish findings, updates, and data driven recommendations from your team to Senior Leadership across Worldwide Operations. . Develop and maintain standard operating procedures for your team and their interactions across the organization. You should be able to: . You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. . You write high quality code to retrieve and analyze data. . You analyze and solve business problems at their root, stepping back to understand the broader context. . You develop pragmatic analyses and choose applicable solutions that add value to your business area. . You understand data resources and know how, when, and which to use (and which not to use). . You recognize and use advanced analytical techniques to solve business problems. . You develop analyses (whether fully formed or exploratory) for the business' sake, not for analyses' sake. . You seek to understand the business objectives relevant to your area. . You align your work to those objectives and seek to deliver business value. Basic Qualifications: . Bachelor's Degree required, preferably in Statistics, Math, Finance, Engineering, Business or a related field or equivalent experience . Industry experience in data engineering, business intelligence, data science, machine learning or related field with a track record of manipulating, processing, and extracting value from large datasets . Demonstrated strength in data modeling, SQL . Experienced in computer science fundamentals such as object-oriented design, data structures and algorithm design . Experience using R, Python, or other equivalent statistics and machine learning tools . Basics in software development- Java, Java Script, and SOM. . Proven results executing process improvements . Experience in Microsoft Office applications . Ability to travel both domestically and internationally. (up to 20%) . Ability to manage and work in a fast-paced, ambiguous environment . Ability to communicate effectively with multi-disciplinary teams. Preferred Qualifications: . Experience in statistical analysis tools (Minitab, SAS, SPSS, R, etc.) . Experience in structured analytical methodology (Statistical Hypothesis Testing, DMAIC, Six Sigma, etc.) . Experience in operational or manufacturing data sets and analytics . Proven Experience in Machine Learning with delivered results in an operations environment, hands-on experience working in data science and/or machine learning, data analytics/engineering using models and methods such as neural networks with cross-functional teams . Expertise in software development- Java, Java Script, and SOM 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.amazo
Have you ever thought about what it takes to deliver high quality customer service at optimal cost? What would you do to take one of the best customer service organizations in the world to the next level? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? The Worldwide Capacity Planning (WWCP) organization owns the end-to-end workforce planning and execution of Amazon's customer service network. Our forecasting, labor planning, scheduling, and real-time management solutions are responsible for the millions of daily decisions needed to provide efficient and frustration-free support to our customers around the world. We are looking for an experienced professional with excellent analytical skills and strong business acumen to join our Forecasting team. As a Forecast Analyst in WWCP, you will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. This role requires a delicate balance in delivering models that are statistically grounded but also explainable operationally - business leaders must be able to understand what variables impact forecast variance and how they should respond tactically. This is a high visibility role with heavy interaction with senior leadership. Analytical ingenuity and leadership, coupled with demonstrated cross-functional partnership, are critical skills for this role. The ideal candidate has an accomplished professional background with demonstrated proficiency in advanced mathematics and/or statistics. They are comfortable creating strategic recommendations in a thoughtful yet concise manner, and obtaining organizational "buy-in" at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and are intellectually curious. Basic Qualifications: . Bachelor's degree in Business, Mathematics, Operations Research, Engineering or a related field . 3+ years of experience as a business analyst or related positions . Experience with statistical analysis and modeling . Experience with SQL and one or more of the statistical modeling languages/ toolboxes (R, SAS, SPSS, Matlab, or Python) . Excellent communication skills to share findings in an understandable and actionable manner . Ability to work successfully in a dynamic, fast-paced environment Preferred Qualifications: . MBA or Master's degree in Mathematics, Statistics, Computer Science, Engineering or other business/analytical disciplines, with 5+ years of related work experience . Experience in forecasting, time-series, and multivariate regression . Combination of technical skills and business savvy to interface with all levels and disciplines across the organization . Proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Experience using AWS technologies such as Redshift, S3, etc. . Excellent interpersonal, written and oral communication skills . Natural curiosity and desire to learn 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 disa
Sep 07, 2024
Full-time
Have you ever thought about what it takes to deliver high quality customer service at optimal cost? What would you do to take one of the best customer service organizations in the world to the next level? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? The Worldwide Capacity Planning (WWCP) organization owns the end-to-end workforce planning and execution of Amazon's customer service network. Our forecasting, labor planning, scheduling, and real-time management solutions are responsible for the millions of daily decisions needed to provide efficient and frustration-free support to our customers around the world. We are looking for an experienced professional with excellent analytical skills and strong business acumen to join our Forecasting team. As a Forecast Analyst in WWCP, you will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. This role requires a delicate balance in delivering models that are statistically grounded but also explainable operationally - business leaders must be able to understand what variables impact forecast variance and how they should respond tactically. This is a high visibility role with heavy interaction with senior leadership. Analytical ingenuity and leadership, coupled with demonstrated cross-functional partnership, are critical skills for this role. The ideal candidate has an accomplished professional background with demonstrated proficiency in advanced mathematics and/or statistics. They are comfortable creating strategic recommendations in a thoughtful yet concise manner, and obtaining organizational "buy-in" at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and are intellectually curious. Basic Qualifications: . Bachelor's degree in Business, Mathematics, Operations Research, Engineering or a related field . 3+ years of experience as a business analyst or related positions . Experience with statistical analysis and modeling . Experience with SQL and one or more of the statistical modeling languages/ toolboxes (R, SAS, SPSS, Matlab, or Python) . Excellent communication skills to share findings in an understandable and actionable manner . Ability to work successfully in a dynamic, fast-paced environment Preferred Qualifications: . MBA or Master's degree in Mathematics, Statistics, Computer Science, Engineering or other business/analytical disciplines, with 5+ years of related work experience . Experience in forecasting, time-series, and multivariate regression . Combination of technical skills and business savvy to interface with all levels and disciplines across the organization . Proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Experience using AWS technologies such as Redshift, S3, etc. . Excellent interpersonal, written and oral communication skills . Natural curiosity and desire to learn 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 disa
Have you ever thought about what it takes to deliver high quality customer service at optimal cost? What would you do to take one of the best customer service organizations in the world to the next level? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? The Worldwide Capacity Planning (WWCP) organization owns the end-to-end workforce planning and execution of Amazon's customer service network. Our forecasting, labor planning, scheduling, and real-time management solutions are responsible for the millions of daily decisions needed to provide efficient and frustration-free support to our customers around the world. We are looking for an experienced professional with excellent analytical skills and strong business acumen to join our Forecasting team. As a Senior Forecast Analyst in WWCP, you will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. This role requires a delicate balance in delivering models that are statistically grounded but also explainable operationally - business leaders must be able to understand what variables impact forecast variance and how they should respond tactically. This is a high visibility role with heavy interaction with senior leadership. Analytical ingenuity and leadership, coupled with demonstrated cross-functional partnership, are critical skills for this role. The ideal candidate has an accomplished professional background with demonstrated proficiency in advanced mathematics and/or statistics. They are comfortable creating strategic recommendations in a thoughtful yet concise manner, and obtaining organizational "buy-in" at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and are intellectually curious. Basic Qualifications: . Bachelor's degree in Business, Mathematics, Operations Research, Engineering or a related field . 5+ years of experience as a business analyst or related positions . Experience with statistical analysis and modeling . Experience with SQL and one or more of the statistical modeling languages/ toolboxes (R, SAS, SPSS, Matlab, or Python) . Excellent communication skills to share findings in an understandable and actionable manner . Ability to work successfully in a dynamic, fast-paced environment Preferred Qualifications: . MBA or Master's degree in Mathematics, Statistics, Computer Science, Engineering or other business/analytical disciplines, with 7+ years of related work experience . Experience in forecasting, time-series, and multivariate regression . Combination of technical skills and business savvy to interface with all levels and disciplines across the organization . Proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Experience using AWS technologies such as Redshift, S3, etc. . Excellent interpersonal, written and oral communication skills . Natural curiosity and desire to learn 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 disa
Sep 07, 2024
Full-time
Have you ever thought about what it takes to deliver high quality customer service at optimal cost? What would you do to take one of the best customer service organizations in the world to the next level? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? The Worldwide Capacity Planning (WWCP) organization owns the end-to-end workforce planning and execution of Amazon's customer service network. Our forecasting, labor planning, scheduling, and real-time management solutions are responsible for the millions of daily decisions needed to provide efficient and frustration-free support to our customers around the world. We are looking for an experienced professional with excellent analytical skills and strong business acumen to join our Forecasting team. As a Senior Forecast Analyst in WWCP, you will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. This role requires a delicate balance in delivering models that are statistically grounded but also explainable operationally - business leaders must be able to understand what variables impact forecast variance and how they should respond tactically. This is a high visibility role with heavy interaction with senior leadership. Analytical ingenuity and leadership, coupled with demonstrated cross-functional partnership, are critical skills for this role. The ideal candidate has an accomplished professional background with demonstrated proficiency in advanced mathematics and/or statistics. They are comfortable creating strategic recommendations in a thoughtful yet concise manner, and obtaining organizational "buy-in" at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and are intellectually curious. Basic Qualifications: . Bachelor's degree in Business, Mathematics, Operations Research, Engineering or a related field . 5+ years of experience as a business analyst or related positions . Experience with statistical analysis and modeling . Experience with SQL and one or more of the statistical modeling languages/ toolboxes (R, SAS, SPSS, Matlab, or Python) . Excellent communication skills to share findings in an understandable and actionable manner . Ability to work successfully in a dynamic, fast-paced environment Preferred Qualifications: . MBA or Master's degree in Mathematics, Statistics, Computer Science, Engineering or other business/analytical disciplines, with 7+ years of related work experience . Experience in forecasting, time-series, and multivariate regression . Combination of technical skills and business savvy to interface with all levels and disciplines across the organization . Proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Experience using AWS technologies such as Redshift, S3, etc. . Excellent interpersonal, written and oral communication skills . Natural curiosity and desire to learn 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 disa
Amazon Prime Video is changing the way millions of customers enjoy digital content. Prime Video delivers premium content to customers through purchase and rental of movies and TV shows, unlimited on-demand streaming through Amazon Prime subscriptions, add-on channels like Showtime and HBO, and live concerts and sporting events like NFL Thursday Night Football. In total, Prime Video offers nearly 200,000 titles and is available across a wide variety of platforms, including PCs and Macs, Android and iOS mobile devices, Fire Tablets and Fire TV, Smart TVs, game consoles, Blu-ray players, set-top-boxes, and video-enabled Alexa devices. Amazon believes so strongly in the future of video that we've launched our own Amazon Studios to produce original movies and TV shows, many of which have already earned critical acclaim and top awards, including Oscars, Emmys and Golden Globes. The Global Consumer Engagement team within Amazon Prime Video builds product and technology solutions that drive customer activation and engagement across all our supported devices and global footprint. We obsess over finding effective, programmatic and scalable ways to reach customers via a broad portfolio of both in-app and out-of-app experiences. We would love to have you join us to work on the core video optimization systems. You will hone your skills in areas such as deep learning, multi-armed bandits, and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists, you will have a unique opportunity to help determine what content gets shown to every customer on Amazon. Our team consistently strives to innovate, and holds several novel patents and inventions in the motion picture and television industry. We are highly motivated to extend the state of the art. As a member of our team, you will apply your deep knowledge of Data Science and Machine Learning to concrete problems that have broad cross-organizational, global, and technology impact. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable with digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels. Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term. You are empowered to bring new technologies and deep learning approaches to your solutions. We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age Basic Qualifications: . Bachelor's Degree . 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) . 4+ years working as a Data Scientist . MS Degree in Computer Science, Computer Vision, Machine Learning, Statistics or a related quantitative field. . Depth and breadth in state-of-the-art machine learning technologies. . 5+ years of professional experience working with Computer Vision and/or Machine Learning. . Hands-on professional experience with Deep Learning, Computer Vision, NLP or speech processing. . Strong knowledge and development experience with learning algorithms . Experience with the full machine learning lifecycle. . Experience with Spark, Python, Deep learning frameworks (e.g MXNet, PyTorch, TensorFlow, etc.). Preferred Qualifications: . 7+ years of practical experience applying DS to solve complex problems; . PhD in Computer Science, Computer Vision, Machine Learning, Statistics or a related quantitative field. . Publications at top-tier peer-reviewed conferences or journals. . Meets/exceeds Amazon's leadership principles requirements for this role. . Meets/exceeds Amazon's functional/technical depth and complexity for this role. 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.
Sep 07, 2024
Full-time
Amazon Prime Video is changing the way millions of customers enjoy digital content. Prime Video delivers premium content to customers through purchase and rental of movies and TV shows, unlimited on-demand streaming through Amazon Prime subscriptions, add-on channels like Showtime and HBO, and live concerts and sporting events like NFL Thursday Night Football. In total, Prime Video offers nearly 200,000 titles and is available across a wide variety of platforms, including PCs and Macs, Android and iOS mobile devices, Fire Tablets and Fire TV, Smart TVs, game consoles, Blu-ray players, set-top-boxes, and video-enabled Alexa devices. Amazon believes so strongly in the future of video that we've launched our own Amazon Studios to produce original movies and TV shows, many of which have already earned critical acclaim and top awards, including Oscars, Emmys and Golden Globes. The Global Consumer Engagement team within Amazon Prime Video builds product and technology solutions that drive customer activation and engagement across all our supported devices and global footprint. We obsess over finding effective, programmatic and scalable ways to reach customers via a broad portfolio of both in-app and out-of-app experiences. We would love to have you join us to work on the core video optimization systems. You will hone your skills in areas such as deep learning, multi-armed bandits, and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists, you will have a unique opportunity to help determine what content gets shown to every customer on Amazon. Our team consistently strives to innovate, and holds several novel patents and inventions in the motion picture and television industry. We are highly motivated to extend the state of the art. As a member of our team, you will apply your deep knowledge of Data Science and Machine Learning to concrete problems that have broad cross-organizational, global, and technology impact. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable with digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels. Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term. You are empowered to bring new technologies and deep learning approaches to your solutions. We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age Basic Qualifications: . Bachelor's Degree . 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) . 4+ years working as a Data Scientist . MS Degree in Computer Science, Computer Vision, Machine Learning, Statistics or a related quantitative field. . Depth and breadth in state-of-the-art machine learning technologies. . 5+ years of professional experience working with Computer Vision and/or Machine Learning. . Hands-on professional experience with Deep Learning, Computer Vision, NLP or speech processing. . Strong knowledge and development experience with learning algorithms . Experience with the full machine learning lifecycle. . Experience with Spark, Python, Deep learning frameworks (e.g MXNet, PyTorch, TensorFlow, etc.). Preferred Qualifications: . 7+ years of practical experience applying DS to solve complex problems; . PhD in Computer Science, Computer Vision, Machine Learning, Statistics or a related quantitative field. . Publications at top-tier peer-reviewed conferences or journals. . Meets/exceeds Amazon's leadership principles requirements for this role. . Meets/exceeds Amazon's functional/technical depth and complexity for this role. 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.
