Data Science

Amazon's WorldWide Grocery Stores Data & Analytics is seeking an experienced and proven Data Engineer (DE) to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals. This is a unique opportunity for someone inspired by WWGS core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.Key job responsibilitiesWe are seeking an experienced Sr. Data Engineer who will leverage their experience and talent to lead data integration, reporting, and analytics projects. This high impact role will be part of a team that will design and build our north star data infrastructure moving WWGDT away from our patchwork of 3p solutions. You will partner with other Data Engineers along with Software Developers, Business Intelligence Engineers, Analysts, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will use your organization skills, backbone, and high sense of ownership while collaborating with the rest of your team. You will have an opportunity to make a large impact on our modernized design, architecture, and development of data products. You will be a part of a data engineering team well versed in the legacy solutions and be asked to contribute to deliver on the future vision.A day in the lifeWork with your leadership to define and execute the data engineering strategy for WWGDT.Leverage SQL and coding skills (e.g., python, java, etc.) to extract, transform, and load data.Collaborate with internal and external teams to scope, design, build, and support data pipelines focusing on performance, cost, operational excellence, continuous improvement as well as delivering business value.Work within multiple technology stacks including working within custom built proprietary AWS framework to deliver data solutionsParticipate and lead standups and design sessions, maintain Jira health, and create artifactsLead and mentor your peersAbout the teamWe enable sophisticated, fact-based decision making across WWGS by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WWGS and WholeFoods Market(WFM). You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. You will be based out of Austin, TX, one of the best places to live and work. Most importantly, you’ll be contributing to WFM's Higher Purpose of Nourishing People and the Planet!BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Advertising Amazon Marketing Cloud (AMC) teams build Advanced Analytics System that are secure, privacy-safe, and dedicated cloud-based environment in which advertisers can easily perform analytics across multiple, pseudonymized data sets to generate aggregated reports. Inputs can include an advertiser’s own data sets, as well as their Amazon Advertising campaign events, such as impressions, clicks, and conversions. The services you will work on are directly used by our customers and operate at Big Data scale, ingesting and processing billions of behavioral signals every day. Speed, scale, and accuracy are critical to our success. The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient, automated, end-to-end data solutions and services. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data solutions to answer key business questions. They will build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.If I were hired, what would I be working on?In this role, you will build and maintain customer facing data products and data solutions for our Amazon Advertising customers using engineering best practices, data management fundamentals, data storage principles, and operational excellence best practices. You will work closely with other engineering and product teams across Amazon Advertising to provide the high quality and scalable big data flow for datasets. This is a large initiative that spans across multiple existing and to be formed engineering and product teams within the Advertising organization. Why should I join your team? Are you interested in building a green field product opportunity within Amazon Advertising? Do you want to have direct and immediate impact on millions of customers every day? If you are a self-starter, enjoy designing large scale distributed and orchestration systems, and are intrigued by ambiguous problems, this is a unique and rare opportunity to build a new initiative from scratch with some of the best full-stack engineers at Amazon. We pioneer the usage of modern full-stack technologies at Amazon scale!We’re looking for experienced, motivated Data Engineer with a proven track record of leading large scale initiatives that span across multiple organizations. If you are passionate about developing analytical solutions to solve business problems, and you are looking for a team that drives results that influence Amazon’s business, this is the right place for you.About the teamAmazon Marketing Cloud (AMC) is an advanced analytics product that is secure, privacy-safe, and dedicated cloud-based environment in which advertisers can easily perform analytics across multiple, pseudonymized data sets to take actions for their Advertising Activities. AMC unlocks advanced campaign measurement, audience refinement, supply optimization, and more, enabling advertisers to make more informed decisions about their cross-channel marketing investments. Our services ingest billions of behavioral signals every day. Speed, scale, and accuracy are critical to our success.AMC: https://advertising.amazon.com/solutions/products/amazon-marketing-cloudKey job responsibilities- Develop data products, infrastructure, and Big Data solutions and services leveraging Native AWS services (such as Redshift, Kinesis, EMR, Lambda etc.)- Develop new data models and end to data pipelines.- Collaborate with a team of other Data Engineers and Software Development Engineers on data delivery best practices.- Contribute to infrastructure planning and operational excellence continued improvements.- Lead and participate in engineering design reviews for solutionsAbout the teamOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to help each team member develop into a better-rounded professional.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 ...

The Private Brands Discovery team designs innovative machine learning solutions to enhance customer awareness of Amazon’s own brands and help customers find products they love. This interdisciplinary team of scientists and engineers incubates and develops disruptive solutions using cutting-edge technology to tackle some of the most challenging scientific problems at Amazon. To achieve this, the team utilizes methods from Natural Language Processing, deep learning, large language models (LLMs), multi-armed bandits, reinforcement learning, Bayesian optimization, causal and statistical inference, and econometrics to drive discovery throughout the customer journey. Our solutions are crucial to the success of Amazon’s private brands and serve as a model for discovery solutions across the company.This role presents a high-visibility opportunity for someone eager to make a business impact, delve into large-scale problems, drive measurable actions, and collaborate closely with scientists and engineers. As a team lead, you will be responsible for developing and coaching talent, guiding the team in designing and developing cutting-edge models, and working with business, marketing, and software teams to address key challenges. These challenges include building and improving models for sourcing, relevance, and CTR/CVR estimation, deploying reinforcement learning methods in production etc.In this role, you will be a technical leader in applied science research with substantial scope, impact, and visibility. A successful team lead will be an analytical problem solver who enjoys exploring data, leading problem-solving efforts, guiding the development of new frameworks, and engaging in investigations and algorithm development. You should be capable of effectively interfacing between technical teams and business stakeholders, pushing the boundaries of what is scientifically possible, and maintaining a sharp focus on measurable customer and business impact. Additionally, you will mentor and guide scientists to enhance the team's talent and expand the impact of your work.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Expert in developing large-scale ML systems in a production environment- Extensive experience applying theoretical models in an applied environment- Demonstrated proficiency in deep learning models, experience building production level causal inference models- Expert in more than one more major programming / scripting languages (Python, Scala, PySpark or similar)- Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience.- Experience coaching and reviewing work of junior ML Scientists, making great hiring decisions. ...

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.We are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. You will: - Develop and improve the current data architecture, data quality, monitoring and data availability. - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning - Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business. - Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers - Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse Experiences Amazon 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.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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 in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.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. 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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

We are seeking a talented and experienced Senior Data Engineer to join our Publisher Ad Server team within SupplyTech. In this role, you will be instrumental in designing, developing, and maintaining the data infrastructure that powers our advertising technology solutions for publishers. This role plays a crucial role in supporting data needs for science algorithms, budget allocation and contention, reporting, and generating actionable business insights.Key Responsibilities:• Architect and implement scalable data pipelines to process large volumes of advertising data in real-time• Develop and optimize ETL processes to integrate data from various sources into our data warehouse• Design and maintain data models to support reporting, analytics, forecasting, and machine learning initiatives• Collaborate with cross-functional teams, including software developers, applied scientists and business analysts, to understand requirements and translate them into technical solutions• Implement data quality checks and monitoring systems to ensure data accuracy and reliability• Optimize query performance and data storage solutions for improved efficiency• Support the development of business intelligence tools and dashboards for actionable insights• Contribute to forecasting models by providing clean, reliable data sets• Mentor junior engineers and contribute to the team's best practices and coding standardsRequirements:• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field• 5+ years of experience in data engineering, with a focus on big data technologies• Expertise in SQL and experience with big data processing frameworks (e.g., Apache Spark, Hadoop)• Proficiency in at least one programming language such as Python, Java, or Scala• Experience with cloud-based data solutions, preferably AWS services (e.g., Redshift, S3, EMR)• Strong understanding of data modeling, data warehousing, and ETL processes• Experience in supporting data science and forecasting projects• Familiarity with business intelligence tools (e.g., Tableau, PowerBI) is a plus• Knowledge of ad tech and digital advertising concepts is advantageous• Excellent problem-solving skills and attention to detail• Strong communication skills and ability to work in a collaborative environmentAt Amazon Ads, you'll have the opportunity to work on cutting-edge advertising technology that impacts millions of users and generates billions of impressions daily. Your work will directly contribute to data-driven decision making, scientific advancements, and business growth in the digital advertising space. Join our team and help shape the future of advertising technology through robust data engineering solutions!About the teamPAS (Publisher Ad Server) builds and operates services that empower 1P publishers to improve monetization, enhance user experience, and reduce infrastructure costs. We bias toward industry standards and flexible designs that allow publishers to invent on top of our solutions and interoperate with other advertising technology providers. Our domain covers core auction functionality and yield optimization across the stages of an ad auction: orchestrating bid requests, selecting ads, and logging events. Our science drives the PAS “smart default” algorithms, including low-latency “decision” algorithms for pacing, podding, dynamic allocation, and auctions during deal/ad selection.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 ...

Amazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Security Hub (https://aws.amazon.com/security-hub/). In this group, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.Key Responsibilities:- Invent, implement, and deploy state of the art machine learning algorithms and systems for information security applications.- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.- Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.- Report results in a scientifically rigorous way.- Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.- Work closely with a mentor to expand your career with AWSHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- 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 ...

The CATALST NLP Services team within the Selling Partner Services (SPS) Core Services organization is responsible for simplifying multi-lingual experiences for our customers. We build and leverage various AI services to eliminate language barriers at scale through Machine Translation for Amazon Customers and Sellers WW across 30+ programs within SPS and customers outside of SPS. We leverage state-of-the-art NLP solutions including Large Language Models, Machine Translation, Language Detection, and OCR to provide a full suite of content analysis capabilities. Our customers include Selling Partners, Buyers, Amazon Associates, Amazon Investigators, and various Science teams.In this role, you will be a key owner within our cross-disciplinary team that includes Product Managers, Software Engineers, and Applied Scientists and execute on our 3 Year Plan. You will pioneer new technologies in NLP, machine translation, and machine learning. You will have ownership of the end-to-end development of solutions to complex problems from design to implementation and you will play an integral role in strategic decision-making. You will also work closely with other stakeholders such as engineers, operations teams and product owners to build ML pipelines, platforms and solutions that solve business problems.Key job responsibilities* Participate in the design, development, evaluation, deployment and updating of automated and scalable machine learning models, with a focus on machine translation* Develop and/or apply statistics, NLP and machine learning experiments and methodologies to different applications* Work closely with Scientists and Software Engineers on experimentations, evaluation and implementation* Work closely with business partners to understand the goals and develop solutions to achieve such goalsBASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a powerful, personalized experience to sellers running real businesses, large and small.Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).Key job responsibilities- Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.- Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.- Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.- Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.- Research and implement novel machine learning and statistical approaches.- Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.About the teamSelling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building machine learning models or developing algorithms for business application 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 ...

Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. Our Org in the Amazon Robotics is responsible for Manipulation programs which is at the forefront of building automation products for manipulating packages and individual items in our fulfillment centers. We are looking for an experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS tech stack and other suitable Data Engineering technologies. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with best practices and direction.Key job responsibilities- Design, implement, and deploy data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices.- Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve data architecture, making it better and easier to maintain.- Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.- Mentor other engineers, influence positively team culture, and help grow the team.A day in the lifeAs a data engineer in the Robotics Manipulation Org, your day is filled with the challenge of optimizing data flows across multiple systems. You start by reviewing KPIs, uncovering insights to drive performance improvements. Working closely with software and ML teams, you streamline data pipelines and feature engineering, ensuring high-quality, real-time information fuels the models powering the robots. Whether automating workflows or conducting in-depth analytics, your expertise directly contributes to the advancement of these cutting-edge programs. In this fast-paced, dynamic environment, you collaborate on innovative solutions, leverage the latest technologies, and make a tangible impact through your data-driven approach.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 3+ years of data engineering experience- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of distributed systems as it pertains to data storage and computing- Experience with data modeling, warehousing and building ETL pipelines- Experience working on and delivering end to end projects independently- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby- Experience with Redshift, Oracle, NoSQL etc. ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As the Data Science Manager on this team, you will: - Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity.- Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.- Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.- Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization.- Analyze historical data to identify trends and support optimal decision making.- Apply statistical and machine learning knowledge to specific business problems and data.- Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.- Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.- Build decision-making models and propose effective solutions for the business problems you define.- Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video ~ https://youtu.be/zD_6Lzw8raEBASIC QUALIFICATIONS- 5+ years of building quantitative solutions as a scientist or science manager experience- 2+ years of scientists or machine learning engineers management experience- 5+ years of applying statistical models for large-scale application and building automated analytical systems experience- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Knowledge of Python or R or other scripting language ...

Amazon is continuing to invest in its Advertising business to tap into the growing online advertising market. The Publisher Technologies team builds and operates extensible services that empower 1P Publishers to improve the monetization of their customer experiences, along with the experiences themselves. We bias toward standards-based and flexible designs that allow Publishers the ability to invent on top of our solutions and to interoperate well with other advertising technology providers; both internal and external.The Publisher Technology Data, Insights, and Analytics team enables faster data-driven decision making for Publishers and Monetization teams by providing them with near real time data, data management tools, actionable insights, and an easy-to-use reporting experience. Our data products provide Publishers and Monetization teams with the capabilities necessary to better understand the performance of their Advertising products along with supporting machine learning at scale.In this role, you will join a team whose data products and services empower hundreds of teams across Amazon with near real time data to support big data analytics, insights, and machine learning at scale. You will collaborate with cross-functional teams to design, develop, and implement advanced data tools, predictive models, and machine learning algorithms to support Advertising strategies and optimize revenue streams. You will analyze large-scale data to identify patterns and trends, and design and run A/B experiments to improve Publisher and advertiser experiences. Key job responsibilities- Design and lead large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems- Create tools and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business- Use broad expertise to recommend the right strategies, methodologies, and best practices, teaching and mentoring others- Key influencer of your team’s business strategy and of related teams’ strategies- Communication and documentation of methodologies, insights, and recommendations for senior leaders with various levels of technical knowledgeBASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Prior experience in advertising or digital marketing, with an understanding of programmatic advertising and the digital advertising ecosystem ...

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.Key job responsibilitiesWe are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. A day in the lifeYou will:Develop and improve the current data architecture, data quality, monitoring and data availability.Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learningPartner with BAs across teams to build and verify hypothesis to improve the AWS Support business.Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customersKeep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse 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 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 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.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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.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) ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.We are calling on engineers who wants to contribute to a sustainable future through technology. Join us in developing solutions for renewable energy portfolio and reduce carbon footprint of our materials in data centers.In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, and last year, we reached 85% renewable energy across our business, and are on a path to power our operations with 100% renewable energy by 2025.We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. To learn more about AWS’s water+ commitment visit: Water Stewardship.Come join the team that is building the tools and innovative technology to manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farmsKey job responsibilitiesOur Business Intelligence team develops large scale reporting tools, analytics, and supporting analytic/reporting data infrastructure for clients in energy, renewable resources, sustainability, and water sectors. They build high visibility tools used by project managers, data/sustainability scientists, analysts, and the AWS leadership team to make data-driven business decisions that directly impact AWS’s net-zero carbon and 100% renewable goals.About the teamWhy 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.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.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- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Are you excited to help the US Intelligence Community design, build, and implement AI algorithms to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) methods. We build models for text, image, video, audio, and multi-modal use cases, using traditional or generative approaches to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI.This position may require local travel up to 25%It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilitiesAs an Data Scientist, you will:- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge AI algorithms to address real-world challenges- Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder- Provide customer and market feedback to Product and Engineering teams to help define product directionAbout the teamAbout AWSDiverse 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 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 in the cloud.BASIC QUALIFICATIONS- Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience- 3+ years of experience building models for business applications- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

AEE Science and AI team is focused on advancing customer experience on 1) Expansions: building the end-to-end Day0 search relevance models (ranking and matching) for new Amazon marketplaces, 2) Exports: improving the search relevance for cross-border (exports) customers, and 3) Emerging Markets Retail Efficiency related initiatives. We focus on algorithms and machine learning model developments, and optimize for recall (completeness) and precision (accuracy), measured through Spare Result Rate (SRR) and Irrelevant Result Rate (IRR) respectively. We are also leveraging Generative AI and LLMs to improve retail operations and reduce cost-to-serve.In this role, you will leverage your expertise in machine learning, information retrieval, and natural language processing to design, implement, and optimize ranking and matching algorithms that improve user experience and satisfaction. Key responsibilities include analyzing large datasets to identify patterns and insights, developing and fine-tuning models to improve search result relevance, and collaborating with cross-functional teams to integrate these models into our search systems. You will conduct experiments to evaluate model performance, utilizing A/B testing and other methodologies to ensure continuous improvement.The ideal candidate will possess a strong background in applied mathematics, computer science, or a related field, with experience in search technologies and a passion for solving complex problems. You will have the opportunity to make a significant impact on our product by driving advancements in search relevance that directly enhance user engagement and outcomes.Key job responsibilities1. Model Development: Design, implement, and refine machine learning models for ranking and matching to enhance search relevance and user satisfaction.2. Data Analysis: Analyze large datasets to extract insights, identify trends, and inform model improvements, ensuring data-driven decision-making.3. Algorithm Optimization: Continuously evaluate and optimize existing algorithms to improve search accuracy and performance through experimentation and iteration.4. Performance Evaluation: Conduct A/B testing and other evaluation methodologies to assess model effectiveness, drawing actionable conclusions to guide further development.5. Cross-Functional Collaboration: Work closely with product managers, engineers, and UX researchers to integrate search models into production systems and align with overall product goals.6. Research and Innovation: Stay current with advancements in machine learning, natural language processing, and information retrieval to drive innovation in search technologies.7. Reporting: Document methodologies, findings, and model performance metrics, and communicate results effectively to stakeholders at all levels.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- PhD in computer science, machine learning, engineering, or related fields ...

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems.Key job responsibilitiesAs a Data Scientist, you will-- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder- Provide customer and market feedback to Product and Engineering teams to help define product directionAbout the teamABOUT AWS: Diverse Experiences Amazon 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.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.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- 5+ 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 in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science ...

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Safety Performance Insights (SPI) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership.Key job responsibilities-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems-Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership-Identify opportunities and key criteria to drive analytical reporting and business strategy-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Simplify and automate reporting, audits, and other data-driven activities-Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation-Learn new technology and techniques to meaningfully support product and process innovationA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Are you passionate about using Data as a way to enable automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We are building a team of experienced Engineers to support this vision.On this team you will partner with a mature team of Software Engineers and Scientists to create the infrastructure and processes needed to support ML models and analyze/model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems.Our team has green-field opportunities to create the right data infrastructure to support these use cases. We offer autonomy, value end-to-end, ownership, and a strong partnership with our experienced sister teams.As a Sr Data Engineer, you will help define, design, implement and test the data process and infrastructure to productionalize and monitor ML models for multiple use cases.As a Sr Data Engineer, you will be working with a large and complex dataset. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should be expert at designing, implementing, and maintaining stable, scalable, low cost data infrastructure.The successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.Come join us as we continue to revolutionize the book industry!Key job responsibilities Deliver large data solutions in difficult or ambiguous data areas (new or existing systems). Create data solutions that are easily usable by customers – inventive, secure, maintainable, scalable, and extensible. Build data solutions that are easy for others to contribute to. Know how to make data auditable, available, and accessible. Provide significant knowledge/experience with data design approaches and industry technologies. Evaluate end-to-end data designs for strengths and weaknesses (data quality, scalability, latency, security, performance, data integrity, etc.). Anticipate data access patterns and remove bottlenecks. Ask the right questions and drive the right technical solution(s). Split development work into parallel tasks that can be performed by them and others and reassembled successfully. Influence team technical strategy. Understand that not all problems are new (or require new data solutions). Make appropriate architectural trade-offs. Show good judgment when making technical trade-offs between short-term technology needs and long-term business needs Take ownership of team’s data architecture and make it simpler. Proactively fix an architecture deficiency. Resolve root cause. Drive data engineering best practices and set standards. Understand system limitations, scaling factors, boundary conditions, and/or the reasons for architectural decisions.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 ...

Do you want to help define the future of Generative AI (GenAI) on AWS by leveraging your deep domain knowledge in applied sciences? You will be part of the core worldwide Generative AI models team, responsible for integrating your applied science expertise with customer engagements to deliver GenAI solutions on AWS. You will collaborate closely with customers, 3rd party model providers, and internal teams to understand their GenAI challenges and provide insights that meet their specific needs within the GenAI domain.The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which 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. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeamKey job responsibilitiesAs an Applied Scientist Specialist, Gen AI you will play a crucial role in expanding the third party models portfolio on AWS by facilitating the seamless integration and benchmarking of new 3rd party models. You will leverage your deep applied science knowledge to engage with customers and providers at a high level of technical depth, providing insights and solutions tailored to their GenAI requirements. Additionally, you will advocate for and implement well-architected system designs for GenAI applications, ensuring scalability, reliability, and performance.You will continuously update your knowledge of the GenAI ecosystem, AWS services, and best practices through research and solution building, maintaining a competitive edge and high technical bar. Your responsibilities will include collaborating with customers and providers, engaging at a high level of technical depth to understand and address their GenAI challenges, and advocating for and implementing scientifically rigorous system designs for GenAI applications.This role requires a strong background in applied sciences, coupled with a deep understanding of GenAI models, frameworks, and applications. You should be passionate about staying ahead of industry trends and technological advancements, and be willing to contribute to the team's research efforts.A day in the life*Sales, Marketing and Global Services (SMGS)*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. (June 2024 Update - Due to the recent SMGS re-org, all reqs within the legacy SMGS cost centers will be exempt temporarily from the SMGS flywheel statement until the org changes are completed and new flywheel statement(s) are implemented.)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- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Excited by Big Data, Machine Learning, and Predictive Software? Interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on Terabytes of Data?At Amazon Global Logistics (AGL), our vision is to become the carrier of choice for all of our Selling Partners' cross-border shipping needs, offering a complete set of end-to-end cross-border solutions from key manufacturing hubs to footprint countries, supporting businesses that use Amazon to grow their business globallKey job responsibilities- Utilize machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.- Analyze and extract relevant information from business data to help automate and optimize key processes.- Design, develop, and evaluate highly innovative models for predictive learning.- Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.- Research and implement novel machine learning and statistical approaches.A day in the lifeAs a Data Scientist III in the Business Insight team at Amazon Global Logistics, you will be responsible for developing state-of-the-art large-scale Machine Learning Services involving vast amounts of data and macroeconomic inputs. Your primary focus will be to produce robust forecasts to aid operational excellence and continue improving the customer experience.You will collaborate with cross-functional teams to understand seller behaviors and their impacts on demand generation, demand forecasting, pricing strategies, and asset utilization, especially in areas with variable demand. Your expertise in machine learning, data mining, and statistical techniques will be crucial in creating scalable solutions that drive business impact.About the teamThe Business Insight team at Amazon Global Logistics is dedicated to leveraging data and advanced analytics to drive operational excellence and enhance the customer experience. As we expand our global logistics operations, the need for solid understanding of seller behaviors, demand forecasting, pricing strategies, and asset utilization becomes increasingly vital.Our team comprises talented and experienced professionals who are passionate about applying innovative machine learning techniques to real-world problems and converting them into highly business-impacting solutions. We foster a collaborative environment that encourages creativity, continuous learning, and a strong commitment to delivering exceptional results.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience- Experience with statistical models e.g. multinomial logistic regression ...