New York

The Amazon Web Services Professional Services Healthcare and Life Sciences (HCLS) team is looking for Customer Practice Managers (CPM) who can lead customer programs that accelerate business outcomes. The CPM is a trusted advisor for our customers who can drive strategic and financial value for customers through promoting and selling transformational professional services programs. The CPM leads all aspects of business development, deal structuring, deal support and ensures delivery excellence and project closure in their assigned accounts or territories.AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Key job responsibilities- Execution of long-term strategic customer transformation roadmaps, having a high Bias for Action to Deliver Results in ProServe and Platform bookings in the near term.- Lead business outcomes - ability to articulate accelerated customer outcomes through cloud technologies.- Develop a unified account plan and pursuit plan that aligns with AWS account team (platform sales).- Establish Executive relationships across Technology & Business groups, executive sponsorship of programs.- Establish an internal network at AWS, most notably with internal organizations critical to success: account team (#OneTeam), Partner team, Global Services organization, Finance, Legal.- Successful assumption of role of strategic advisor and expert with a deep knowledge of the cross-section of the customers’ business and the available cloud services.- Deliver on annual bookings targets with deal structure aligned with key customer goals and AWS - Professional Services business objectives- Support scale through shared learnings and mechanisms across the Professional Services sales team.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree, or 7+ years of professional or military experience- Experience with selling consulting/professional services with recurring revenue from accounts/territory.- Business development experience including multiyear, multiple service offerings with a total contract value of +10M agreements and familiarity with compliance & security standards across the enterprise IT landscape.- Experience with CRM systems and maintaining a clear and dependable view of pursuits, progress, and pipeline conversion- Experience assessing customer marketplace circumstances, organizational readiness, and C-Level willingness to initiate conversations that lead to broader strategic transformation programs. ...

Would you like a career that gives you opportunities to help customers change how they operate in today’s Digital Age and accelerate their cloud journey using Amazon Web Services (AWS) within the Retail/CPG Industry? Do you like to work on a variety of projects within some of the largest, most complex, enterprise customers at the forefront of exciting cloud adoption at scale, leading customer and partner teams to achieve repeatable AWS best practices?AWS Professional Services (ProServe) is looking for Customer Practice Managers (CPM) who can lead activities with one or more Enterprise Retail/CPG organizations. Our CPMs are accountable for helping Retail/CPG customers develop a long-term AWS strategy. Together with customer teams and AWS partners, working closely with the Global Account Manager, the CPM oversees strategy execution in truly transformational, ground breaking projects.The CPM role is to act as a trusted advisor and AWS ambassador to senior stakeholders and enterprise teams within our largest customers to understand and help realize their critical business outcomes with AWS.Key job responsibilities- Lead business outcomes - ability to articulate accelerated customer outcomes through cloud transformation.- Execution of long-term strategic customer transformation roadmaps, having a high Bias for Action to Deliver Results in ProServe and Platform bookings in the near term.- Develop a unified account plan and pursuit plan that aligns with AWS account team (direct sales).- Establish Executive relationships across Business & Technology groups, executive sponsorship of programs.- Establish an internal network at AWS, most notably with internal organizations critical to success: Account Team (#OneTeam), Partner team, Global Services organization, Finance, Legal.- Successful assumption of role of strategic advisor and expert with a deep knowledge of the cross-section of the customers’ business and the cloud ecosystem.- Deliver on annual bookings, revenue, and customer satisfaction targets with deal structure aligned with defined customer outcomes and AWS ProServe business objectives.- Support scale through shared learnings and mechanisms across the ProServe team.About the teamAbout AWS:Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- 8+ years of managing a book of business with sales and revenue targets in a consulting/professional services business setting- 3+ years working in the Retail/CPG sector as a consultant or part of a Professional Services organization- Business development experience including multiyear, multiple service offering proposals resulting in contracts with +$10M total contract value.- Experience with CRM systems with a view of pursuits, progress, and pipeline conversion- Experience evaluating customer market conditions, organizational readiness, and C-Level engagement to drive strategic transformation initiatives. ...

Do you love working with data? Are you excited about handling a lot of data? Do you want to make new tools that make it easy to get information from data? Are you keen on solving problems that no other company has solved? Stores Security builds solutions that keep Amazon systems and data secure on behalf of the Amazon customer. Our customers range from security engineers who need a comprehensive understanding of Amazon systems and their security state, to service teams who need solutions that make it easy to build and operate secure systems, to third party vendors who do business with Amazon. We use the latest technology to solve security problems at Amazon scale. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to stay ahead of the curve on security and delight our customers with great products. In this role, You will work with SDEs/other DEs and Data scientist to invent, design and build data solutions that will have significant impact across vendors doing business with Amazon, and all Amazonian building software solutions.Key job responsibilities- Design, implement, and support a platform providing secured access to large datasets.- Architect , develop and maintain end to end scalable data infrastructure and data pipelines- Develop the teams' data strategy and technical road map of data storage & pipelines design and implementation- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting and AWS big data technologies.- Designing and implementing complex ETL pipelines and other BI solutions.- Work closely with business owners, developers, Business Intelligence Engineers to explore new data sources and deliver the data.- Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently. Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity. along with fostering a culture of self-reliance.About the teamAbout Amazon SecurityDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

Are you interested in being a part of Amazon’s fastest growing business? Are you excited to work on latest Big Data technologies to help shape the future of Grocery data? If the answer to both these questions is Yes, then come be a part of Amazon Fresh’s Central Data Infrastructure team (DASH). Our vision is to build a world class, centralized and secure data infrastructure for Amazon’s Worldwide Omnichannel Grocery Business. Our mission is to make it extremely convenient for Internal stakeholders, 3P partners and the Grocery engineering community to access timely and accurate data for all their reporting and analytics needs. The scale and the complexity of the data we manage requires constant innovation and pushing the boundaries on what’s possible. This role offers you an opportunity to work on VP level visibility initiatives and make a lasting impression on how grocery data is managed and distributed across the globe.Key job responsibilitiesIn this role you will: - Help build the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems - Manage AWS resources. - Collaborate with Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning - Drive the architecture and technology choices that enable a world-class user experience - Develop expertise in a broad range of Amazon’s data resources and know when, how, and which to use and which not to use - Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions - be comfortable with a degree of ambiguity and willing to develop quick proof of concepts, iterate and improve - Create extensible designs and easy to maintain solutions with the long term vision in mind - Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value. You listen effectively.A day in the lifeSuccessful candidate would have extensive experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience. Proficiency in SQL and data modelling allows to create data warehouses and tables conforming to wide range of business needs. Previous ETL and MPP experience enables candidate to build extensible and scalable pipelines capable of processing large amounts of data in a short time, ex. >1T rows within few hours. Wide industry experience helps detect inefficiencies in existing designs and address them with minimal effort.About the teamF3 DASH is Amazon Fresh central data team responsible for the creation and maintenance of Amazon Grocery’s global data infrastructure. Our mission is to make all of grocery data easily accessible across multiple businesses by all users from a single location without any restrictions for all their reporting and analytics needs. Our long-term vision is to build a best-in-class data infrastructure to support worldwide grocery data to enable timely reporting and automated decision-making with standardized metrics to deliver top-line and bottom-line impact to Amazon’s grocery business.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Do you want to innovate on a new platform with Amazon Web Services (AWS)? Come join our team in AWS, you’ll help us design and deliver data engineering solutions that enables AWS to expand our operations into new data centers worldwide. Our green-field solutions will support programs in compliance and sustainability, and build a platform that will extend to first-class AWS services. You will collaborate with engineers designing data solutions at scale. Global Trade and Product Compliance (GTPC) works closely with the business and its partners to support global business expansion efforts by enabling the international flow of AWS’ hardware, software, services, and technology. We facilitate global trade and ensure compliance with all relevant global trade and product compliance standards, laws, and regulations.Key job responsibilities- Architecture design and implementation of next generation complex data pipelines and BI solutions based out of AWS.- Manage AWS resources including S3, EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc.- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers- Actively participate in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions. A day in the lifeAs a Security Assurance Data Engineer, you will help tackle a diverse landscape of technical challenges. You will partner with other Software Engineers along with Data Engineers, Business Intelligence Engineers, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with Amazon, technology leaders within the team and across the business.You’d be expected to have high standards for writing SQL, build data pipelines with infrastructure as code, code quality, code reviews, testing, and operational excellence. You’ll support your peers to deliver results in a space that operates much like a start-up, with the autonomy to build the right solution from Day One. As a DE with our team, you will collaborate with other engineers on technical direction, strategy with a career opportunity for growth that AWS can offer. About the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with SQL, data modeling, data warehousing, and building ETL pipelines.- Experience in designing, implementing, and overseeing data processing systems tailored for extensive datasets.- Proficiency in at least one modern programming language, whether it's Java, Scala, or Python.- Experience in at least one scripting or programming language, such as Python, or JavaScript or TypeScript ...

Do you love working with data? Are you excited about handling a lot of data? Do you want to make new tools that make it easy to get information from data? Are you keen on solving problems that no other company has solved? The Data Operations and Engineering team in the Application Security Organization is seeking a creative, curious, and ambitious Data Engineer to design, build and optimize the data infrastructure that powers Amazon's security monitoring and analytics solutions. You will play a key role in building highly scalable and reliable data pipelines that ingest, process and serve security data at a massive scale across Amazon's systems.Stores Security builds solutions that keep Amazon systems and data secure on behalf of the Amazon customer. Our customers range from security engineers who need a comprehensive understanding of Amazon systems and their security state, to service teams who need solutions that make it easy to build and operate secure systems, to third party vendors who do business with Amazon. We use the latest technology to solve security problems at Amazon scale. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to stay ahead of the curve on security and delight our customers with great products. In this role, You will work with SDEs/other DEs and Data scientist to invent, design and build data solutions that will have significant impact across vendors doing business with Amazon, and all Amazonian building software solutions.Key job responsibilities- Design, implement, and support a platform providing secured access to large datasets.- Architect , develop and maintain end to end scalable data infrastructure and data pipelines- Develop the teams' data strategy and technical road map of data storage & pipelines design and implementation- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting and AWS big data technologies.- Designing and implementing complex ETL pipelines and other BI solutions.- Work closely with business owners, developers, Business Intelligence Engineers to explore new data sources and deliver the data.- Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently. Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity. along with fostering a culture of self-reliance.About the teamAbout Amazon SecurityDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Bachelor's degree- Experience as a Data Engineer or in a similar role ...

Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Partner Experience and Growth (PEG) organization leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers, i.e. the advertisers.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact.Key job responsibilitiesDesign, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.About the teamData Engineering team focuses on helping other partner business teams to be a more data driven business. We synthesize data from various data sources into actionable information, help the team to build the insights and take business decisions. We maintain partner data platform(Barnegat) and support end to end data engineering needs for our customers. Data engineering team customers include Analytics, Science, Finance, Partner Trust, Business Development, Product and other Advertisement teams. Our core services are managing Data platform, data pipelines to get data from various sources, create scalable and reusable datasets and provide single source of truth for business metrics. BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...

Are you interested in being a part of Amazon’s fastest growing business? Are you excited to work on cutting edge Big Data technologies to help shape the future of Grocery data? If the answer to both these questions is Yes, then come be a part of Amazon Fresh’s Central Data Infrastructure team (DASH). Our vision is to build a world class, centralized and secure data infrastructure for Amazon’s Worldwide Omnichannel Grocery Business. Our mission is to make it extremely convenient for Internal stakeholders, 3P partners and the Grocery engineering community to access timely and accurate data for all their reporting and analytics needs. The scale and the complexity of the data we manage requires constant innovation and pushing the boundaries on what’s possible. This role offers you an opportunity to work on VP level visibility initiatives and make a lasting impression on how grocery data is managed and distributed across the globe.Key job responsibilitiesIn this role you will: - Help build the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems - Manage AWS resources. - Collaborate with Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning - Drive the architecture and technology choices that enable a world-class user experience - Develop expertise in a broad range of Amazon’s data resources and know when, how, and which to use and which not to use - Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions - be comfortable with a degree of ambiguity and willing to develop quick proof of concepts, iterate and improve - Create extensible designs and easy to maintain solutions with the long term vision in mind - Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value. You listen effectively.A day in the lifeSuccessful candidate would have extensive experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience. Proficiency in SQL and data modelling allows to create data warehouses and tables conforming to wide range of business needs. Previous ETL and MPP experience enables candidate to build extensible and scalable pipelines capable of processing large amounts of data in a short time, ex. >1T rows within few hours. Wide industry experience helps detect inefficiencies in existing designs and address them with minimal effort.About the teamF3 DASH is Amazon Fresh central data team responsible for the creation and maintenance of Amazon Grocery’s global data infrastructure. Our mission is to make all of grocery data easily accessible across multiple businesses by all users from a single location without any restrictions for all their reporting and analytics needs. Our long-term vision is to build a best-in-class data infrastructure to support worldwide grocery data to enable timely reporting and automated decision-making with standardized metrics to deliver top-line and bottom-line impact to Amazon’s grocery business.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

The Supply Chain Optimization Technologies (SCOT) team builds technology to automate and optimize Amazon’s supply chain of physical goods. We seek a Data Scientist with strong analytical and communication skills to join our team. SCOT manages Amazon's inventory under uncertainty of demand, pricing, promotions, supply, vendor lead times, and product life cycle. We optimize complex trade-offs between customer experience, inventory costs, fulfillment costs, fulfillment center capacity, etc. We develop sophisticated algorithms that involve learning from large amounts of data such as prices, promotions, similar products, and other data from our product catalog in order to automatically act on millions of dollars’ worth of inventory weekly and establish plans for tens of thousands of employees. As a Data Scientist, you will contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers both internally and externally.Key job responsibilitiesMajor responsibilities include: - Analysis of large amounts of data from different parts of the supply chain and their associated business functions - Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models - Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them - Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations - Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithmsA day in the lifeAs a Data Scientist in SCOT, you will be tasked to understand and work with cutting edge research to enable the implementation of sophisticated models on big data. As a successful data scientist in the SCOT team, you are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.BASIC QUALIFICATIONS- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 2+ years of data scientist experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Bachelor's degree- Experience applying theoretical models in an applied environment ...

Data ScientistWe are seeking a talented Data Scientist to join our growing analytics team. In this role, you will leverage your analytical and technical expertise to extract valuable insights from complex datasets, develop machine learning models, and drive data-informed decision-making across the organization.Key Responsibilities:Design and execute end-to-end data science projects, from problem definition to solution deploymentDevelop and implement machine learning models to solve business problems and improve operational efficiencyCreate and maintain data pipelines for model training and deploymentConduct exploratory data analysis to uncover patterns and trendsCollaborate with stakeholders to understand business requirements and translate them into technical solutionsPresent findings and recommendations to technical and non-technical audiencesMonitor and optimize model performanceMentor junior team members and contribute to best practicesKey job responsibilitiesWe are looking for talented Data Scientists who are adept at predictive modeling, reinforcement learning, recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and raise the research bar within the team.* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, perform hands-on analysis and modeling of enormous data sets to develop insights that improve shopper experiences and merchandise sales* Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.* Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.* Research new and innovative machine learning approaches.* Promote the culture of experimentation and data science at AmazonAbout the teamOur team, CreativeX Optimization, is responsible for personalizing the visual experience of ads in real time. We apply advanced machine learning and generative AI to help advertisers build, identify, and understand what ad creatives work with their audiences. We develop customized CTR and CVR prediction models to help advertisers efficiently connect with shoppers across the web. We develop generative models to understand shopper preferences across text, images, and videos. We have a broad mandate to experiment and innovate, as we seek to leapfrog the competition and impact billions of impressions daily. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 4+ years of industry or academic research experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Do you want to join a brand-new team building an AI system that would disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Lex, Polly, Lambda, S3, and Kinesis to provide a truly frustration free and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. As a Data Scientist on our team, you will analyze data from massive data sets to categorize customer idiosyncrasies, identify outliers, and systematically detect anomalies that substantially affect the performance of our models. You will work closely with other senior technical leaders within the team and across AWS. You should know how to trace decisions in data from raw data through complex models to their impact business metrics. Experience with machine learning explainability is a plus. You should be able to translate well-defined business problems into data science problems and you solve these problems using appropriate assumptions, methodologies, and data science best practices. Our team is at an early stage, so you will have significant impact on our deliverables with no operational load from existing models/systems.We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems. We are looking for passionate, talented, and experienced people to join us to innovate on this new service that addresses customer needs to build modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center, and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus. Learn more about Amazon Connect here: https://aws.amazon.com/connect/ Key job responsibilitiesCategorizing Customer Idiosyncrasies: As we expand to more customers, we are discovering that they use our product in very different ways and that poses issues for our models. Effectively summarizing these differences (for example, X% of customers do Y) would be immensely helpful.Detecting and Cleaning Up Outliers: We have situations where outliers have a huge impact on model outputs. You will help us develop mechanisms to clean up outliers for downstream consumption.Deep Diving Customer Issues: Customers have longstanding traditions and trusted formulas for managing their contact centers. When our formulas differ from theirs, we need to deep dive these discrepancies and determine if there is an issue with our model or if we are giving the customer better results than they are used to.Assessing Data Gaps: It's hard to estimate the weather in Seattle if the only data you have is the average weight of elephants in Zimbabwe. We know we don't have all the data we need, but we need to answer two related questions: (a) what features can we derive in creative ways from existing data sources? (b) can we estimate the benefit of getting a new data stream in terms of accuracy improvement?A day in the lifeOur team uses agile project management, so the DS calls in to our daily stand-up meeting in the morning to report status and explain their tasks for the day. Throughout the day, the DS will work with our product manager to discuss outstanding issues with our customers that require deep dives, work with our scientists to discuss model performance issues, and discuss software deliverables with our SDEs such as automation of data ingestion to save DS time, deployment of models, etc.About the teamOur team is called Eliza and it was founded in 2019 to expedite science adoption in Connect. We are a team of scientists and engineers working on multiple science projects for Amazon Connect. Our team members work closely together to explore different approaches that can simplify management of contact centers and delight our customers and we move fast to implement solutions and refine them based on customer feedback.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

We are open to hiring candidates to work out of one of the following locations:New York, NY, USAAre you interested in playing a pivotal role in building innovative technology that protects Amazon’s customers?The Application Security Organization in Stores Security, builds solutions that keep Amazon systems and data secure on behalf of the Amazon customer. Our customers range from security engineers who need a comprehensive understanding of Amazon systems and their security state, to service teams who need solutions that make it easy to build and operate secure systems, to third party vendors who do business with Amazon. We use the latest technology to solve security problems at Amazon scale. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to stay ahead of the curve on security and delight our customers with great products.The Data Operations and Engineering team in the Application Security Organization is seeking a creative, curious, and ambitious Data Scientist to optimize the Amazon's application security monitoring systems, that collect data at scale, and use machine learning (ML) to detect adversarial action in our systems. You will play a key role in shaping the future of our security monitoring systems and analytics processes that vend security data at a massive scale across Amazon's systems.As a Data Scientist, you will complement our strengths and apply your data science skills, and tradecraft, to analyze terabytes of user behavior data, and systems data to detect threatening behaviors. You will build threat detection models and algorithms, which will be used to surface security anomalies, attacks and raise security investigations. You need to be highly motivated, eager to learn and be curious, and resourceful in finding novel ways to analyze data in order to produce actionable security insights.This is a highly visible role that requires partnering with multiple organizations, security leadership, and technology teams in order to extract the intelligence and effect change. You should have the experience and capability to create and present documentation to champion security causes. Excellent written and verbal communication skills are essential. You should be experienced in working with data to analyze and detect trends, outliers, and have advanced analytical, mathematical, and quantitative abilities.Key job responsibilities- Design and run experiments, research new algorithms, and find new ways to improve detection of fraudulent activities.- Research machine learning algorithms and implement by tailoring to business needs and test on large datasets.- Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that protect our customers.- Foster a culture of continuous engineering improvement through mentoring, feedback, and metrics.- Manipulating/mining data from databases- Providing analytical network support to improve quality and standard work results.- Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.- Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance.- Applying statistical or machine learning knowledge to solve specific business problems.- Conducting written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.About the teamAbout Amazon SecurityDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Are you excited about the prospect of making it easier for builders to innovate and create great software? If so, Amazon Software Builder Experience (ASBX) may be the place for you. Created in 2022, ASBX has the mission of creating the world’s best builder experience across tens of thousands of software engineers across both Amazon and AWS.Builder Insights works at the core of ASBX, shaping what it means to create the world’s best software builder experience. How do we reduce friction and toil for builders, enabling them to have more time to build features and capabilities that will delight Amazon’s customer? Where should we invest in tooling, automation, knowledge discovery, training, etc. to create the biggest benefits for builders? How do we inform managers what “good” looks like compared to teams similar to them? These are just a few of the challenges we are tackling right now.We are looking for a passionate and hardworking scientist to use data to discover insights and turn those insights into actionable recommendations and products that improve the experience of builders across Amazon. As a data scientist on the Builder Insights team, you will help conduct rigorous science for the organization, with a focus on discovery, research, and application of generated insights into science-enabled products and features. You will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. This role will also collaborate with scientists across organizations to influence science roadmaps and disseminate research.You will work with engineers to onboard data, perform scientifically rigorous insight discovery and research, and develop the right statistical and machine learning model-based solutions to deliver impact for builders. You will solve ambiguous problems, working with stakeholders to determine the right questions to ask and developing the roadmap for delivering results. You will apply analytical abilities, business understanding, and technical expertise to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. You will synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to influence investment into builder experience improvements through data-backed solutions.10025Key job responsibilities• Lead projects, requiring both business and technical domain knowledge, and drive solutions to complex or ambiguous problems with limited guidance.• Create models and analyses that affect important business decisions.• Review analyses of other scientists and provide feedback.• Employ scientifically rigorous standards across multiple data science disciplines, knowing what trade-offs to make to deliver results.• Build models using Python, R, etc. (and ability to access data using Spark, SQL, or similar)• Proficiently use at least one common data science language to develop models (Python, R, etc.) and process data (Spark, SQL, etc.).• Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendationsAbout the teamThe data science team in Builder Insights believes Are Right, A Lot means listening to diverse points of view and building a culture of inclusivity where every team member can contribute. It's only when we work together and include everyone that the best ideas can shine through, and that's when we have the most impact for our customers. You can let your Ownership shine on this team! - we wear different hats, getting involved with product strategy, building infrastructure, and everything in between. We have an innate desire to Learn & Be Curious and Dive Deep as engineers and scientists.AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Are you looking for an environment where you can drive innovation, apply state-of-the-art machine learning techniques, and tackle real-world problems at massive scale? Do you want to shape the future of Amazon’s Retail business by designing and deploying deep learning models for time series forecasting? If so, join the Amazon Demand Forecasting Science team! As part of this dynamic team, you will create and implement novel neural network architectures to develop the next generation of foundation time series models, directly influencing how Amazon operates at a global scale.Key job responsibilitiesDesign new deep learning algorithms and creative approaches to push time series forecasting performance beyond the current state-of-the-art.Work cross-functionally with product managers, software engineers, and scientists to build end-to-end solutions that are deployed at scale in Amazon’s production systems.Engage with the broader scientific community at Amazon and beyond - collaborate with academic researchers, contribute to publications, and present your work at leading conferences (e.g., NeurIPS).A day in the lifeYou will deep dive into massive Amazon time series datasets, leveraging Python and PySpark to conduct exploratory data analysis. You will prep the data pipeline - writing Python code to train, evaluate, and debug the latest deep learning models. You will design novel neural network architectures, brainstorming with fellow scientists and engineers on ways to push the boundaries of foundation time series modeling. You may explore and benchmark open-source solutions, identifying opportunities to enhance Amazon’s forecasting capabilities. You will document your discoveries and prepare them for internal knowledge-sharing sessions or external conferences, ensuring that your innovations help shape the future of demand forecasting - both within Amazon and the broader research community.About the teamWe are responsible for accurately predicting sales for millions of products worldwide. Our work reduces costs, drives lower prices, and improves selection for customers - all while leveraging unprecedented volumes of data that only Amazon can offer. BASIC QUALIFICATIONS- 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- Experience applying theoretical models in an applied environment ...

Where 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 Data Scientists to 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 models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems.Key job responsibilities- Develop new forecasting models or improve existing approaches using scalable techniques.- Extract data for analysis and model development from large, complex datasets to explain demand trends.- Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.- Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.- Drive innovation and best practices in applied research across the Amazon research science community. BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment- Bachelor's degree ...

The Private Pricing Analytics and Insights (A&I) team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in North America, supports operations for strategic customer engagements on private pricing deals including pipeline management, engagement performance reporting, and forecasting. Success in this role is becoming a trusted advisor to global engagement leads, using data and insights to guide strategic decision-making and looking around corners to get ahead of forthcoming opportunities and challenges. As a member of the broader Private Pricing Analytics & Insights team you will partner with Business Intelligence Engineers, Data Scientists, Data Engineers, and Software Development Engineers to shape the use of data and technology to improve the scale, velocity and quality of private pricing operations for external customers and internal stakeholders. A successful candidate must have the ability to communicate effectively across multiple technical and non-technical business units, with the most senior levels of AWS leadership, and across other geographies. You are highly motivated and self-sufficient in consistently weaving data and anecdotes into clear stories that guide day-to-day and longer term operational thinking. Key job responsibilities• Lead sales executive discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.• Support senior engagement leadership in managing pipelines, forecasting engagement outcomes, and strategic planning for operations• Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.• Develop relationships and processes with sales, finance, sales operations, and other functional teams• Create and evolve operational procedures and processes to optimize pipeline management.• Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems,• Identify opportunities to improve existing tooling and reporting, and coordinate across a diverse set of stakeholders to improve and evolve these assetsAbout the teamAbout the teamThe Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations.The Private Pricing team is instrumental in driving deal strategy, structuring, negotiations, and execution of private deals. Private Pricing deals consist of large, strategic, or highly competitive commercial agreements with customers.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 10+ years of sales operations or equivalent experience- Bachelor's degree or equivalent- Experience developing and implementing systems/tools utilized for CRM, variable compensation, revenue reporting, forecasting, Salesforce automation, etc.- Experience defining, refining and implementing sales processes, procedures and policies or equivalent ...

Design Technology is Amazon Brand Innovation Lab’s custom development and prototyping team that works with advertisers, 1p teams, and agencies. We focus on the conception, prototyping, and execution of branded custom experiences across the Amazon canvas. In agencies, such roles are often called Creative Technologists.As a member of the Brand Innovation Lab’s Design Technologists you will split your time between execution and strategy. You will contribute to the definition of new ad products, pre-sales prototypes, and custom campaign executions, all while working directly with Art, Copy, Interactive Experience Designers, Product Managers, Producers and Account teams.You will have comprehensive understanding of the current state – and future – of web technology with a critical awareness of implications on user-centered design. You have strong communication skills and are comfortable with a range of technologies: React/JavaScript/NodeJS, HTML/CSS, XML/JSON, Adobe Creative Suite, WCAG AA/accessibility standards, GenAI/LLMs, and have experience with Figma and AWS.You are customer-obsessed, detail-oriented, comfortable working on highly technical teams and are skilled in collaboration with non-technical creative counterparts. You are a leader in the never-ending process of improving your own and your team’s standards, writing documentation, and are able to handle multiple projects in a high-velocity environment with a high-level of autonomy. You can translate business requirements into bar-raising customer experiences by thinking first from a customer’s perspective and setting relentlessly high standards to achieve them.You are equally passionate about design and development. You have strong front-end proficiency, are a creative problem solver at the core and have a keen eye for world class functional design. You will bring disruptive ideas for how to concept, create, and deliver branded shopping experiences for millions of customers worldwide and work across desktop, mobile, Fire tablet, Fire TV, Alexa, Twitch, Amazon Live and other Amazon properties.Key job responsibilitiesResponsibilities include:· Own the end-to-end development process and deliverables from a design and technical perspective· Provide design and technical leadership; work closely with business teams in development of campaign strategy, use cases, and technical requirements· Concept first-to-market innovations that utilize Amazon’s canvas alongside creative counterparts· Present work to peers, product teams and Senior leadership· Provide leadership, mentor, and coach to your immediate and extended team· Partner with program and product managers to appropriately identify and assess features for future product offeringsHere are some things that we’re looking for:· Proven web development experience across multiple devices, web-views and browsers· Proven ability to simplify complex problems into intuitive and elegant experiences· Ability to deliver functional prototypes on various devices· Ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization· Ability to participate in the full lifecycle of design and development – including ideation, prototyping, development, backwards compatibility, fail-overs, validation, and user-testingPlease include your online portfolio and process examples in your application.About the teamBrand Innovation Lab is dedicated to crafting innovative advertising campaigns and products that enable brands to distinguish themselves on Amazon. We aim to captivate our mutual customers by facilitating new discoveries, rewarding engagement, and assisting in informed purchasing decisions.Recognizing the continuously evolving expectations of both customers and brands, Design Technologists explore new innovation avenues for brands to come to life on Amazon.BASIC QUALIFICATIONS- 3+ years of front-end technologist, engineer, or UX prototyper experience- Have an available online portfolio- Have coding samples in front end programming languages- 3+ years of ad or design agency experience- Excellent written/verbal communication, presentation, interpersonal and analytical skills- Understanding and fluent usage across a broad spectrum of technologies including (but not limited to): React/JavaScript/NodeJS, HTML/CSS, XML/JSON, and Responsive/Adaptive Design- Whiteboarding, which is included of the hiring process- Fluent in Adobe Creative Suite applications including Media Encoder, After Effects, and Photoshop- Understanding of WCAG AA standards and accessibility fluency- Experience using Figma to translate designs to websites- Experience using AWS in production environments- Understanding of performance and how to mitigate latency issues- Experience building work to high accessibility standards ...

Shopbop, an Amazon subsidiary, is looking for a meticulous and diagnostic Digital Marketing Planner to own forecasting, reporting, and Digital Marketing analytics. This role will provide analytical and technical expertise to the broader marketing organization, delivering marketing channel insights & trends while streamlining current processes. The right candidate is proactive, reliable, and highly organized, with the ability to excel in a fast -paced environment. The candidate will collaborate across teams and support the creation of an environment that inspires performance excellence and bold ideas. This role reports into the Head of Digital Media.Key job responsibilities• Owns and manages the forecasting and budgeting of Digital Marketing activities, working in tandem with channel owners, finance, agency, and merchandise partners. • Oversees marketing budget and communication of forecasts and strategies to business leadership, identifying when strategies are off track.• Responsible for Digital Marketing reporting inclusive of weekly business reviews, monthly business reviews, annual reviews, and ad hoc requests.• Partner with Head of Digital Media and other channel partners to develop a test and learn agenda, providing insights, results, and ideas to improve performance.• Identify and develop opportunities to streamline forecasting and reporting, creating efficiencies while maintaining accuracy.• Responsible for development of measurement methodology across mid to upper funnel campaigns to track effectiveness of these efforts.• Support onboarding and maintenance of MMM with agency support.• Advocate for Digital Marketing team with analytics and tech on high priority objectives and urgent issues.• Lead training for junior team members for reporting and basic forecasting needs.BASIC QUALIFICATIONS- • 6-7 years of work experience in planning or analytics- • Strong communicator with excellent verbal and written presentation skills- • Experience with analytical and database tools- • Understanding of digital marketing programs- • Strong interpersonal, partnership and management skills- • Excellent project management capabilities including multi-tasking, prioritization and organization skills- • Advanced Microsoft Excel and Office skills- • Bachelor's degree ...

Do you want to lead a global team focused on building relationships with the top private equity (PE) firms in the world? Do you have the strategic thinking, relationship building skills, technical depth, and executive level communication skills needed to help further establish AWS as the leader within the PE industry? The PE industry is looking for new ways to create value for their portfolio companies. Technical and digital transformation, increased agility, retirement of technical debt and assistance migrating their companies to the cloud are all increasingly becoming an important level for them to utilize. AWS is looking for a Director, Private Equity, who understands business trends impacting the PE industry and who is passionate and capable of driving market development globally for AWS, leveraging the richness of the AWS cloud computing platform to position and drive the right technology solutions to the portfolio companies of the PE firms, and also to create programs for the PE firms themselves.Your responsibilities will include managing a cross-functional team focused on building relationships with PE firms so as to develop access to their portfolio companies, and who can provide influence over their portfolio companies. Your leadership will be global in scope and you will be responsible for the development of all strategies and programs for this function. As part of this leadership position, you and your team will be engaging with high profile PE executives who exhibit a material amount of influence in the IT industry and over their portfolio. You will be expected to attend and speak at a number of PE related events, including CxO meetings and conferences. You will also work closely with AWS Field Seller, Private Pricing, Partner and Solutions Architects teams to develop and promote cloud and GenAI solutions, as well as migration opportunities for the PE portfolio companies. As Director, Private Equity you will be a part of the sales organization, driving revenue by building relationships with Partners of Private Equity companies, to advance AWS adoption within portfolio companies.Roles and Responsibilities* Scale out an integrated go-to-market team in a highly complex environment* Develop and execute against a set of goals including customer references, support, professional services, and training* Develop and deliver compelling ROI to drive adoption of AWS Gen AI solutions by collaborating cross-functionally to continuously strengthen AWS's GenAI value proposition * Develop relationships and engage with cross-functional and partner ecosystems to extend reach and drive adoption* Build and leverage relationships with internal and external stakeholders to further adoption of AWS services in the market* Support all AWS operating cadences and represent a consolidated view of the Private Equity customer segment to senior AWS leaders* Guide a Customer Obsessed business that delights our customers* Expect 50%+ travel to visit customers and travelProfessional traits that are not unique to this position, but necessary for Amazon leaders: First and foremost, this leader will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will have an ability to work equally well with operations teams, executive management and external stakeholders.* Exhibits excellent judgment* Hires great people. Develops great people.* High standard for customer obsession* Has relentlessly high standards* Thinks strategically, but stays on top of tactical execution* Expects and requires innovation of her/his team* Thinks big and has convictions* Results oriented* Has the innate ability to inspire passion in othersBASIC QUALIFICATIONS* The ideal candidate will have significant leadership experience working closely with influential and high-profile executives, preferably in the private equity (PE) industry. * He/She will have experience interacting at the CXO/VP level, with a good understanding of Cloud or related technology. He/She will think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions and work cross-organizationally to build consensus. * Have a keen sense of ownership, drive, and scrappiness are critical.* The right person will be technical and analytical, and possess at least 10-15 years of executive leadership experience in sales.* Have existing CXO relationships, with a large network in more than one industry.* Strong leadership skills are key, with superior verbal and written communications skills and demonstrated ability to work effectively across internal and external organizations.* Relevant technical knowledge is helpful, including in areas such as: database systems, IoT, core distributed computing concepts, fundamentals of cloud computing and virtualization, storage systems, etc.* The ability to go deep on relevant trends in the PE industry and understand the world of this customer segment.* A Bachelor’s Degree is required. ...

We are hiring a manager for a cross-functional team that builds ML-based products to help AWS sellers understand customers and optimize sales strategies. This manager will be an important member of the AWS Central Economics and Science team and help set the science and product direction for their team and, by extension, a large part of the org due to within-org collaboration. Specifically, we’re looking for someone to help define a growth- and business-focused vision for the team. An ideal candidate will think big and understands how to use science to drive measurable incremental business impact by taking insights all the way through to actions that manifest in the real economy. This will be a great opportunity to utilize both causal/econ and ML chops. Someone who has worked on embedded teams or on central science teams with policy implementation involvement is ideal. This role lends itself to increased scope and career growth over time.Key job responsibilitiesThis role with interface directly with product owners, scientists/economists, and leadership to create multi-year research and product agendas that drive step change growth for the business. The role will also be an important collaborator with other science teams at AWS.A day in the lifeOur team takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the teamOur group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point?BASIC QUALIFICATIONS- PhD in economics or equivalent- Experience with at least one of the following: Matlab, R, Python, Stata- Experience manipulating large sets of data, summarizing into metrics, and conducting appropriate statistical tests (e.g., regression, t-test, chi-square) ...