Amazon.com
Seattle, Washington, United States
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
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.com
Seattle, Washington, United States
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.
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.
Amazon.com
Seattle, Washington, United States
LOCATION: Seattle WA MULTIPLE POSITIONS AVAILABLE Create analytics language for requested insights. Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions. Work across employee services organization to make actionable intelligence available to business stakeholders. Develop requirements and specifications with business and development teams. Analyze, diagnose and recommend experience for customers and employees. Utilize SQL and SAS to manipulate data into the necessary structure including outlier analysis data inking, missing variable treatment, and data exploration. Work with cross-functional groups to combine Analytics findings with other data sources to complete a full root cause analysis. #0000 Basic Qualifications: A Master's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered as a business analyst, business intelligence engineer, data engineer, data miner or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered as an equivalent to the Master's degree and one year of experience. one year of experience in the job offered or a related occupation must involve: experience in data analysis, report building, or analytical research; experience with Excel or Sql; leading small to medium sized projects involving complex data sets and high variability; using analytics technology to build categories, construct queries and build reports. Equal Opportunity Employer. All q Preferred Qualifications: All Applicants must meet all of the above listed requirements. #0000
LOCATION: Seattle WA MULTIPLE POSITIONS AVAILABLE Create analytics language for requested insights. Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions. Work across employee services organization to make actionable intelligence available to business stakeholders. Develop requirements and specifications with business and development teams. Analyze, diagnose and recommend experience for customers and employees. Utilize SQL and SAS to manipulate data into the necessary structure including outlier analysis data inking, missing variable treatment, and data exploration. Work with cross-functional groups to combine Analytics findings with other data sources to complete a full root cause analysis. #0000 Basic Qualifications: A Master's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered as a business analyst, business intelligence engineer, data engineer, data miner or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered as an equivalent to the Master's degree and one year of experience. one year of experience in the job offered or a related occupation must involve: experience in data analysis, report building, or analytical research; experience with Excel or Sql; leading small to medium sized projects involving complex data sets and high variability; using analytics technology to build categories, construct queries and build reports. Equal Opportunity Employer. All q Preferred Qualifications: All Applicants must meet all of the above listed requirements. #0000
Amazon.com
Herndon Area, Virginia, United States
Are you passionate about building, owning and operating massively scalable systems? Want to make a billion-dollar impact? If so, we are looking for a dynamic, versatile, hands-on, and innovative senior data engineer to join our collaborative, global team of super smart, customer obsessed people to work on big problems and have fun. You will dig into massive quantities of data to help spot problems, prioritize projects, and contribute to improve our highly resilient and efficient infrastructure. Senior Data Engineers in this role have a unique opportunity to engage with advanced cloud infrastructure solutions and the exceptional people who develop them. In this role, you are a data expert with direct influence on the success of AWS's hyper-scale data center business as you apply your expertise to: . Collaborate with teams across AWS to develop data infrastructure and pipelines to drive analytics and visualizations for programs from initial experimentation to production deployment . Build unique, high quality, reliable, accurate, and repeatable data sets that are optimized for business intelligence and highlight AWS's business needs . Build and automate data systems used for planning and prioritizing resources for thousands of critical projects across hundreds of AWS data centers globally . Identify trends, make data consumable, generate meaning from the data, report transparently, and identify things that look interesting . Apply the latest SQL and AWS big data technologies to extract, transform, write code, and load data from a wide variety of data sources - get creative! . Recognize and be responsive to emerging best practices in reporting, automating, and simplifying self-service support for customers This role requires strong technical skills, including knowledge of SQL database design and multiple programming languages with the ability to work across a vast array of data platforms and organizations, along with a healthy imagination to develop solutions that enable leaders to make data driven decisions and teams to execute them. Amazon's vision is to be the world's most customer-centric company, and this role is key to that vision. The projects you're helping to evaluate are essential for meeting our customers' expectations for efficiency, speed, and reliability as we continue expanding our data centers to hyper-scale. As an ideal candidate, you: . Love working with data . Are great at breaking down and solving complex data engineering problems . Possess experience applying, working with, and engineering in the latest big data technologies . Build trust and relationships with different stakeholders . Recognize and appreciate diversity of thought and perspectives . Are comfortable addressing and resolving ambiguity . Enjoy working independently with some direction from the program sponsor Each day you will collaborate with and support different teams responsible for engineering, development, finance, integration, and implementation of complex data center projects. You prioritize your activities to get the best data in front of the right people. We have an immediate opening for a Senior Database Engineer in Herndon, Virginia or in our new headquarters in Northern Virginia - location and schedule are flexible. If you meet these qualifications, exude passion, and enjoy innovation at hyper-scale, this job is for you! Basic Qualifications: . Bachelor's Degree or higher in Computer Science or related field; or 6+ years equivalent experience (experience may be substituted for a degree) . 4+ years' experience in Structured Query Language (SQL) . 2+ years' proficiency and experience in one of Python, Perl, or Shell script Preferred Qualifications: . Experience with investigating, familiarizing, and evaluating multiple data sets . Experience in data modelling . Experience designing and implementing data visualizations . Experience with multiple database platforms . Experience with enterprise class BI and Analytics tools such as Tableau, R/SAS, and OBIEE . Master's degree in a quantitative or technical field . 5+ years experience with object-oriented design and implementation experience (Ruby, Java, Python, and/or C++) . 2+ years experience with Computer Science fundamentals in data structures, algorithm design and problem solving
Are you passionate about building, owning and operating massively scalable systems? Want to make a billion-dollar impact? If so, we are looking for a dynamic, versatile, hands-on, and innovative senior data engineer to join our collaborative, global team of super smart, customer obsessed people to work on big problems and have fun. You will dig into massive quantities of data to help spot problems, prioritize projects, and contribute to improve our highly resilient and efficient infrastructure. Senior Data Engineers in this role have a unique opportunity to engage with advanced cloud infrastructure solutions and the exceptional people who develop them. In this role, you are a data expert with direct influence on the success of AWS's hyper-scale data center business as you apply your expertise to: . Collaborate with teams across AWS to develop data infrastructure and pipelines to drive analytics and visualizations for programs from initial experimentation to production deployment . Build unique, high quality, reliable, accurate, and repeatable data sets that are optimized for business intelligence and highlight AWS's business needs . Build and automate data systems used for planning and prioritizing resources for thousands of critical projects across hundreds of AWS data centers globally . Identify trends, make data consumable, generate meaning from the data, report transparently, and identify things that look interesting . Apply the latest SQL and AWS big data technologies to extract, transform, write code, and load data from a wide variety of data sources - get creative! . Recognize and be responsive to emerging best practices in reporting, automating, and simplifying self-service support for customers This role requires strong technical skills, including knowledge of SQL database design and multiple programming languages with the ability to work across a vast array of data platforms and organizations, along with a healthy imagination to develop solutions that enable leaders to make data driven decisions and teams to execute them. Amazon's vision is to be the world's most customer-centric company, and this role is key to that vision. The projects you're helping to evaluate are essential for meeting our customers' expectations for efficiency, speed, and reliability as we continue expanding our data centers to hyper-scale. As an ideal candidate, you: . Love working with data . Are great at breaking down and solving complex data engineering problems . Possess experience applying, working with, and engineering in the latest big data technologies . Build trust and relationships with different stakeholders . Recognize and appreciate diversity of thought and perspectives . Are comfortable addressing and resolving ambiguity . Enjoy working independently with some direction from the program sponsor Each day you will collaborate with and support different teams responsible for engineering, development, finance, integration, and implementation of complex data center projects. You prioritize your activities to get the best data in front of the right people. We have an immediate opening for a Senior Database Engineer in Herndon, Virginia or in our new headquarters in Northern Virginia - location and schedule are flexible. If you meet these qualifications, exude passion, and enjoy innovation at hyper-scale, this job is for you! Basic Qualifications: . Bachelor's Degree or higher in Computer Science or related field; or 6+ years equivalent experience (experience may be substituted for a degree) . 4+ years' experience in Structured Query Language (SQL) . 2+ years' proficiency and experience in one of Python, Perl, or Shell script Preferred Qualifications: . Experience with investigating, familiarizing, and evaluating multiple data sets . Experience in data modelling . Experience designing and implementing data visualizations . Experience with multiple database platforms . Experience with enterprise class BI and Analytics tools such as Tableau, R/SAS, and OBIEE . Master's degree in a quantitative or technical field . 5+ years experience with object-oriented design and implementation experience (Ruby, Java, Python, and/or C++) . 2+ years experience with Computer Science fundamentals in data structures, algorithm design and problem solving
