Data Science

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 ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business Flywheel Inputs Analytics team is looking for a Data Engineer to build our data platform and set us up for future growth. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. Our team owns the data driven decision making for key AB problems including price setting, selection additions, and operations optimization. Amazon Business is a fast-growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history.As a Data Engineer, you will partner with Software Developers, Business Intelligence Engineers, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured data. The ideal candidate has solid business judgement, depth of knowledge in data modeling and database architecture, written/documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, +Other AWS technologies). In this role, you will function as a data engineering thought leader and establish operating procedures in partnership with software engineering teams to capture the optimal telemetry from existing, and future product/feature launches. You will design the ingestion in a way that efficiently integrates with the over-arching Amazon Business Pricing, Selection, and Services data model. You will force multiply your expertise across the Scientists and BIEs in the Org, and influence state of the art data pipelining and orchestration mechanisms. Key job responsibilities- Designing, implementing, and maintaining a cutting-edge data infrastructure to support our large and complex datasets using AWS Services and internal BDT Tools- Working with Scientists, Product Managers, BI Engineers, and Software Engineers to design, implement and support source of truth data sources- Developing and optimizing robust ETL pipelines with comprehensive monitoring, alarming, and data quality controls to seamlessly integrate diverse data sources- Building and scaling an analytical data model that provides self-service access to data and flexibility to integrate data sets from multiple sources- Manage AWS resources, including exploring and learning the latest AWS technologies to provide new capabilities and increased efficiency - Force multiplying engineering best practices and fostering a culture of continuous learning and innovationBASIC QUALIFICATIONS- Experience with SQL- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

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 ...

At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations.The OTS DataTech team drives the enterprise data strategy, focusing on Data as a Product and supports OTS-wide data and analytics efforts, including generative AI and machine learning capabilities to fuel innovation and automation across the OTS product portfolio.Key job responsibilitiesAs a Data Engineer on the DataTech team, you will play a critical role in designing and building the foundational data infrastructure components that empowers OTS product teams with business critical metrics, develop systems and tools to ingest, process data from diverse data sources, data lakes, enable seamless data publish and subscribe, and self-service analytics for business metrics reporting. You will participate in automation of data governance processes and data quality monitoring, support data needs for AI/ML capabilities.A day in the lifeOn a day to day you will build and operate a highly scalable data mesh infrastructure, data lake that hosts OTS data and provide access through Data as a Product. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences. Key job responsibilitiesSpecifically, the Language Engineer will: • Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables• Analyze and extract language-related insights from large amounts of data• Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language• Use modeling tools to bootstrap or test new functionalities • Collaborate with scientists and software engineers to evaluate performance of language models• Handle competing requests from a range of data customers BASIC QUALIFICATIONS• Masters’s or higher degree in a relevant field (computational linguistics or equivalent field with computational analysis) • 2+ years experience in computational linguistics or language data processing• Experience with language annotation and other forms of data markup• Experience with scripting languages, such as Python• Experience working with speech and text language data in multiple languages• Excellent communication, strong organizational skills and very detailed oriented• Comfortable working in a fast paced, highly collaborative, dynamic work environment ...

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- Manage scientists who 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.- Drive design, development and deployment of 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 development, model validation and model implementation.- Oversee research and implementation of 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- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience directly managing scientists or machine learning engineers ...

The Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses.The Sr Manager, Data Engineering role in ITA is responsible for leading a portfolio of data engineering teams and services to solve multiple complex problems related to all aspects of hiring. The Sr Manager, Data Engineering will partner with multiple stakeholders to efficiently deliver data infrastructure, data modelling, insights, engineering for data science and model technical excellence in the data space. The role is a leader of multiple teams requiring proven people management experience with an ability to define and deliver strategy across a global technical ecosystem.The ideal candidate will be passionate about simple and elegant software solutions, customer-centric products, and utilizing agile development processes. You will look at problems holistically, beyond the borders of your team, and thrive on solutions that require thinking at multiple levels, from strategic to business tactical to system goals to specific interfaces. You create positive collaborative outcomes and ensure solutions are reliable, scalable and secure, and always keep the customer's best interest in mind.Key job responsibilitiesAs a senior manager of Data Engineering, you will lead multiple teams of builders to define, drive and deliver on Intelligent Talent Acquisition technology vision. You'll develop your team of highly motivated and talented builders who can collaborate with product managers, software engineers, scientists, data experts and business leaders to build robust solutions. The primary responsibilities include:1. Setting the org priorities while balancing customer, stakeholder and business needs.2. Defining the long term technical vision for the org that meets business needs in scalable ways.3. Delivering high quality data engineering as well as rapid prototypes to gather user feedback and data.4. Collaborating with product and business leaders to translate business needs to software solutions.5. Hire and develop builders in the organization.About the teamThe Intelligent Talent Acquisition team has existed since 2019 and grew significantly in 2024 through the combination of smaller engineering and analytics teams.The team is diverse; its leadership team comes from engineering, operations, science, I/O psychology, and business intelligence backgrounds.Intelligent Talent Acquisition is the largest data and science team involved in hiring at Amazon.BASIC QUALIFICATIONS- Bachelor's degree- 10+ years of data engineering experience- 5+ years of data engineering team management experience- Experience managing multiple concurrent projects and development teams- Experience managing globally distributed teams ...

The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models and software solutions to accelerate informed, accurate, and reliable decision backed by science and data.We are looking for an experienced data engineer engineer to integrate data sources and create a data infrastructure to model and research all aspects of HR, including: workforce planning, recruiting, employee engagement, retention, development, employee benefits, and compensation. Lead information architecture workstream, automate ingestion and consumption using AWS toolsets and data mesh implementations. Build data taxonomy to organize data by subject matter domains. Develop a seamless vending strategy for sharing data with PXT and Amazon stakeholders. Lead data curation for easy consumption in science models. Lead and streamline data governance for protecting privacy for Amazonians. The ideal candidate is expected to work closely with senior scientists and business leaders to study the impact Amazon has had on workers, the market, and the economy. You will build new data engineering solutions end-to-end, will work with multiple stakeholders across HR and Operations, and will build data pipelines/automation that can be used by distributed systems to run statistical and ML models. A successful candidate will have a passion for innovation, interest in cutting-edge technology, and excitement about working in a high-impact domain.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.As a Senior Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing), operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team’s BI solutions and any related systems or artifacts.Key job responsibilities• Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools• Build and deliver high quality data sets to support data scientists and customer reporting needs.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers• Translate basic business problem statements into analysis requirements.• Use analytical and statistical rigor to answer business questions and drive business decisions.• Find and create ways to measure the customer experience to drive business outcomes.• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.• Troubleshoot operational quality issues.• Review and audit existing jobs and queries.• Recommending improvements to back-end sources for increased accuracy and simplicity.About the teamDiverse Experiences:AWS 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 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 & Career Growth:We’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 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.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- Bachelors Degree in relevant Technical Field ...

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Seattle office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Key job responsibilities* Apply your knowledge of LLM models to contribute to the development and implementation of machine learning solutions that address language translation-related challenges in the eCommerce space.* Collaborate with cross-functional teams, including senior scientists, software engineers, and product managers, to understand project requirements, map business goals to scientific problems, and help deliver high-quality solutions.* Conduct data analysis to identify patterns and insights, using reasonable assumptions and customer requirements to solve well-defined problems related to seller performance and customer experiences across international marketplaces.* Stay updated on current modeling techniques and methodologies, applying them under guidance to improve the accuracy and efficiency of language translation-related systems.* Communicate technical concepts clearly to team members and stakeholders, participating in discussions on proposed solutions and their potential impact.About the teamWe are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

This Data Engineering position is responsible for supporting the data pipelines & engineering needs for Alexa analytics and Machine Learning (ML) products. This Data Engineer will build and optimize logical data model and data pipelines for large, complex, datasets across a variety of Alexa analytics product(s), as well as be accountable for ongoing data quality, efficiency, testing, and maintenance. The Data Engineer should thrive and have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes. They will influence large-size data solutions/access to dataset(s) within our team's architecture, advising product managers, program managers, and other engineers on trade-offs and courses of action.We are looking for a passionate data engineer to optimize the consumption of these very large data sources we require to generate unique insights. As a data engineering leader within Alexa, we look to you for design, implementation, and successful delivery of large-scale, critical, or difficult data solutions involving a significant amount of work. You will share in the ownership of the technical vision and direction for advanced analytics and insight products. You will be a part of a team of top technical professionals developing complex systems at scale and with a focus on sustained operational excellence. Where needed, you integrate your team’s data solutions with those owned by other teams. You influence your team’s technical and business strategy by making insightful contributions to team priorities and overall data approach. You take the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where your team bottlenecks the innovations of other teams. We are looking for people who are motivated by thinking big, moving fast, and changing the way customers use data to drive profitability. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you.The Data Engineer we are looking for:- Has knowledge of recent advances in distributed systems (e.g. MapReduce, MPP architectures, and NoSQL databases). You are proficient in a broad range of data design approaches and know when it is appropriate to use them (and when it is not).- Knowledge of engineering and operational excellence best practices. Can make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).- Works with engineers to develop efficient data querying and modeling infrastructure.- Understands how to make appropriate data trade-offs. Can balance customer requirements with technology requirements. Knows when to re-use code. Is judicious about introducing dependencies.- Writing code that a Data Engineer or Software Development Engineer unfamiliar with the system can understand.- Can create coherent Logical Data Models that drive physical design.- Delivers pragmatic solutions. You do things with the proper level of complexity the first time (or at least minimize incidental complexity).- Understands how to be efficient with resource usage (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.)- Collaboration with colleagues from multidisciplinary science, engineering and business backgrounds.- Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisionsAbout the teamOur team owns a self-service analytics platform used by Alexa & AGI developers to identify trends in Alexa performance, assess customer impact, and troubleshoot failure patterns. Our customers include: scientists building and debugging ML models, analysts and researchers measuring the customer experience, developers troubleshooting defects and failures, and data teams building business reports and visualizing metrics.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing ...

At Amazon Web Services (AWS), we’re hiring highly technical Data Analytics consultants to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Data and Analytics, Artificial Intelligence (AI) and GenerativeAI (GenAI), Machine Learning (ML), HPC and more.You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2C), which focuses on the accelerate career development of university graduates and early career professionals. Our team members work with enterprise customers locally, regionally and domestically. As such, this role has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract.Key job responsibilitiesIn this role, you will work with our partners, customers and focus on our AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker, Amazon Bedrock, Amazon Q, and Amazon Lex. You will help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights. The ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of modern data services like DynamoDB, Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon RDS, technologies and other industry data structures and standards.A day in the lifeAWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. 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 upon customer needs.You will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams.About the teamInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.Mentorship & Career GrowthOur 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 assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS* Bachelor’s degree or higher in Computer Science, Engineering, Mathematics or a related field with a conferral date within May 2023 to May 2025* 1+ years of hands-on experience of programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++, Node.js, or similar object-oriented language. ...

If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. Our Mission: We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. Analytics topics include, but not limited to:1. Product / Value Proposition design 2. Customer / Go-to-market 3. Customer Experience4. Business Planning & Forecasting Key job responsibilities- Develop, launch, and scale self-service analytics and insights offerings- 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.- Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.- Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)- Expert-level SQL- Proficiency with one or more general purpose programming languages (e.g. Python, Java, Scala, etc.)- Knowledge of AWS products such as Redshift, Quicksight- Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.About the teamThe Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About AWS: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. BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...