Data Science

We are working back from a mission of explaining and predicting one of the most important inputs to the Amazon business - customer visit data. We are working to model and test our assumptions about what are the customer incentives and what influences customers to chose visiting Amazon. Ultimately we want to understand and predict how many of our customers will interact with Amazon and we want to identify insights that optimize the customer experience.This is a green-field role in an analytics team of economists, science, business intelligence and data engineering bridging between observational measurement and theoretical models.About the teamYou will be empowered by a large team of experienced software and data engineers that are aligned on the same mission - to measure and explain our customer experience. We lean into the exceptionally talented Economist and Science community in CBA and Stores for consultation, guidance and peer reviews.Our large analytics team is empowered to move fast and gather the data we need to achieve our mission. Our parent organization owns end-to-end data collection systems (Clickstream), experimentation (Weblab) and customer value forecasting (GCCP). We are working across organizational boundaries to identify relevant datasets and are able to curate the vast amount of data we have into meaningful business reporting and analysis.BASIC QUALIFICATIONS- Bachelor's degree- 4+ 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 or similar role involving data extraction, analysis, statistical modeling and communication experience ...

Are you inspired by invention? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Last Mile Solutions Engineering team. WW AMZL Solutions Engineering team is looking to build out our Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If you’re interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you’ve come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers.As a Simulation Scientist, you are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. As a simulation scientist, you will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon.Key job responsibilities• Design, develop, and simulate engineering solutions for complex material handling challenges considering human/equipment interactions for the Last Mile network• Lead and coordinate simulation efforts for optimal solutions through equipment specification, material flow, process design, ergonomics, associate experience, operational considerations and site layout• The candidate must have the ability to work with diverse customer groups to solve business problems and provide data solutions that are organized and simple to understand. • Working with technical and non-technical customers to design experiments, simulations, and communicate results• Develop, document and update simulation standards, including standard results reports• Create basic to highly advanced models and run "what-if" scenarios to help drive to optimal solutions• Work closely with internal teams to ensure that every detail is thought through and documented using Standard Operating Procedures and/or structured change control• Work closely with vendors, suppliers and other cross functional teams to come up with innovative solutions• Simultaneously manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners• Conduct post-mortem on simulations, after implementation of new designs, in partnering with Safety and OperationsA day in the lifeIf 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- 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- Experience with statistical models e.g. multinomial logistic regression- Bachelor's degree ...

Note: By applying to this position, your application will be considered for: Arlington, VA; and Seattle, WA.Are you a developer who has hands-on experience with building cloud-native applications? Would you like to work with our customers to help them architect, develop and re-engineer applications to fully leverage the AWS Cloud? Do you like to work on a variety of cutting edge, business-critical projects at the forefront of application development and cloud technology adoption?In order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications.You will join as part of the AWS Professional Services (ProServe Associate to Consultant (A2C), which focuses on the accelerated 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 order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications. Amazon Web Services is looking for highly talented hands-on technical developer to help accelerate our growing Professional Services business. This is an excellent opportunity to join Amazon’s world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies. We are looking for hands-on architects/developers who are passionate about:* Helping customers architect scalable, highly available application solutions that leverage AWS services* Architecting and developing customer applications to be cloud optimized* Working as a technical specialist alongside customer business, development and infrastructure teams* Providing deep software development knowledge with respect cloud architecture, design patterns and programming* Advising and implementing AWS best practices* Working as both an infrastructure and application development specialist* Implementing DevOps practices such as infrastructure as code, continuous integration and automated deploymentAbout the teamAWS 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 strong success for the Customer. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. 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. Inclusive 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. ...

Global Logistics (GL) Analytics team's vision is to create a centralized data lake across GL to empower stakeholders to make data-driven decisions and derive insights.We are looking for a Data Engineer with a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile, helping build a CI/CD infrastructure for scalable ETL pipelines used for business and operational performance on a daily basis. You will be working with Software Development teams in our organization to create a scalable framework for Data Instrumentation. Additionally, you will provide analytical support to BIEs, PMs, and other data roles. Design and develop data ingestion platforms that can handle large datasets at scale.Key job responsibilities- Manage and administer data platform built on AWS services such as Redshift, Kinesis, S3, Lambda etc- Develop and improve the current data architecture, data quality, monitoring and data availability- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers- Provide technical and thought leadership for Data Engineering and Business Intelligence within Global MileA 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 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- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Are you passionate about solving challenging problems and helping Amazon deliver the perfect combination of speed, cost-efficiency, and reliability? The Global Reliability and Maintenance Engineering (RME) team is looking for a skilled, customer-obsessed Senior Business Intelligence Engineer to join our dynamic organization. As a Senior BI Engineer in the RME Central MAP team, you will work with large volumes of data to solve complex business problems and provide actionable insights through data analytics. You will collaborate with senior leaders across RME to align scalable metrics, track measurable results, and develop strategic opportunities where data improvements can drive significant impact. The successful candidate will have extensive experience designing and delivering analytical solutions in a highly ambiguous environment, be comfortable working with both technical and non-technical audiences, and have strong analytical and communication skills.This role requires a deep passion for data, the ability to thrive in a fast-paced, global environment, and a commitment to cross-functional collaboration. You will help establish a data-driven culture by leveraging business intelligence tools and the latest generative AI technologies to build impactful products and insights. If you're ready to make a meaningful impact and help Amazon innovate, this is the opportunity for you.Key job responsibilities- Own the design, development, and maintenance of metrics, reports, dashboards, and analyses to drive key business decisions.- Collaborate with product managers, engineering teams, and stakeholders to drive project delivery and strategic initiatives.- Lead the functional and technical design of BI solutions, including user interfaces, architecture, and data processing.- Develop statistical analyses and visualizations for ad-hoc requests and ongoing reporting.- Troubleshoot data and analysis issues, research root causes, propose solutions, and implement resolutions.- Create scalable, automated processes for large-scale data analysis and model development.- Lead end-to-end projects, including data gathering, synthesis, modeling, and communication of insights.- Engage with leadership and customers to understand needs and recommend BI solutions.- Partner with cross-functional teams to standardize processes and improve reporting.- Participate in strategic planning discussions, gathering requirements, and delivering complete BI solutions.- Identify opportunities for process improvement and automation, leading change initiatives.- Ensure best practices in reporting, analysis, data integrity, and documentation.- Design, write, and manage specifications for reporting and analytical systems.- Improve the analytics architecture and tools to provide scalable and efficient solutions.- Build operational plans by aligning objectives and resources with senior leadership and stakeholders.- Drive innovation by integrating AI and LLM technologies into the analytics domain.A 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- 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 with AWS technologies- 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 ...

Come and be a part of Amazon's amazing growth story! If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate team members, this might be the role for you! Amazon Supply Chain Optimization Technology (SCOT) powers Amazon’s fulfillment network, determining how much of a given product is needed at locations around the world in order to ensure product availability while maintaining optimal inventory levels at each storage location. This includes strategically placing vendor orders and moving inventory across our network to serve customer demand as quickly as possible at reduced cost. (Learn more about SCOT: http://bit.ly/amazon-scot)The Inventory Placement team is seeking for Sr Data Scientist with strong analytical and communication skills to join our team. As a Senior Data Scientist for Inventory Placement, you will be responsible for driving improvements in how our inventory is distributed, stored, and replenished across our supply chain network. Your expertise in machine learning, statistical modeling, and optimization will enable our system teams to make smarter, data-backed decisions to finally ensure that products are placed in the right locations, at the right time, and in the right quantities. You will work closely with cross-functional teams in supply chain, engineering, and product to create scalable solutions that improve inventory efficiency and reduce operational costs.Key job responsibilities- Analysis of large amounts of data from different parts of the supply chain and their associated business functions using SQL.- Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models- Measure the impact of new features in our systems to own data driven decisions for future investments.- Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them- Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations- Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical and machine learning models and algorithmsAbout the teamOur Inventory Placement team owns the systems that decide where in Amazon's fulfillment network to put inventory for the millions of products that Amazon sells. We build optimization models to make these placement decisions driven by signals such as forecasted customer demand, the cost and speed of shipping from each warehouse to each customer, and the available capacity at various points in our network. Inventory placement is central to achieving Amazon's objectives to minimize the cost of fulfillment while offering selection to customers at the fastest possible delivery speeds. Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning and optimization systems. We're simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon.BASIC QUALIFICATIONS- 5+ 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 ...

The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon’s own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon.This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities- Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch. For example, starting from deep scientific thinking about new ways to support customers’ journeys through discovery, you analyze how customers discover, review and purchase Private Brands to innovate marketing and merchandising strategies. - Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and eventually preliminary results. - Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions. - Present results, reports, and data insights to both technical and business leadership. - Constructively critique peer research and mentor junior scientists and engineers. - Innovate and contribute to Amazon’s science community and external research communities.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field 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 ...

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 Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution 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 make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on 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.We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.This position requires that the candidate selected be a US Citizen.Key job responsibilitiesAs an Data Scientist, you will - Collaborate with AI/ML scientists and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms 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, 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- 3+ years of experience building models for business applications- Hands-on experience building GenAI solutions- 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- Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience ...

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 a Senior 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* Lead and innovate in applying advanced NLP and LLM techniques to solve complex language translation challenges in e-commerce, driving product-level improvements for our international marketplaces.* Architect and implement novel, scalable machine learning solutions that enhance translation quality evaluation and improve translation pipeline efficiency across multiple teams and systems.* Spearhead cross-functional collaborations to define strategic project requirements, establish organization-wide success metrics, and deliver high-impact solutions aligning with broader business objectives.* Drive comprehensive data analysis to uncover non-obvious insights in multilingual data, relaying findings into actionable strategies that influence product roadmaps and capabilities for language technologies.* Pioneer and implement cutting-edge modeling techniques for machine translation quality assessment and pipeline optimization, leading the team's scientific agenda. Invent new methodologies when existing approaches fall short, advancing the state-of-the-art.* Serve as a recognized expert in LLM applications for e-commerce translation, communicating complex concepts to diverse stakeholders including senior leadership. Influence organization-wide adoption of innovative approaches in language translation technologies.* Actively mentor team members, elevating scientific capabilities and fostering a culture of innovation and rigorous inquiry in machine translation and evaluation.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- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

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 ...

Do you want to use your expertise in translating innovative science into impactful products to develop a new business line in emerging stores. If you do, Emerging Stores Payments team would love to talk to you about how to make that a reality.As an applied scientist on our team, you will work with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables and define the execution roadmap. You will partner with scientists, and engineers on the design, development, testing, and deployment of scalable ML models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership and technical strength.Key job responsibilities- As an Applied Scientist, ML Applications, you will:- Lead applied scientists to deliver machine-learning and AI solutions to production.- Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers- Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.- Partner with the engineering team to deploy your models in production.- Partner with scientists from across ML teams within India Consumer Payments to solve complex problems.- Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them.- Mentor and develop junior scientists and developers.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 ...

Amazon Games is seeking a highly effective generative AI scientist to build and integrate new groundbreaking AI into our game pipelines and customer experiences. Our mission to be the most customer obsessed video game company requires exploration into these cutting-edge tools to improve the quality and quantity of fun gameplay for our players; while ensuring their ethical and responsible implementation. At Amazon Games we are creating games like the open world MMO New World and working with partners to publish hit games like Lost Ark. Amazon is working on unannounced titles for PC, console, and mobile platforms.We believe passionately that employing a diverse workforce is central to building the best games for our players. We make recruiting decisions based on your experience and skills and value your passion to discover, invent, simplify, and build.Key job responsibilities- Drive, design, develop, and support highly ambiguous and complex generative AI services for games using AWS or local hardware resources.- Collaborate with game team engineers to integrate generative AI tools into developer workflows.- Stay up to date with and analyze the latest advancements in generative AI technology and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.- Work with other game teams in the organization to expose sharable pieces of generative AI technology.- Consult and contribute to evaluations of other internal or 3rd party generative AI services that could be leveraged by the project or the organization.- Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.- Assess costs (both monetary and environmental) of generative AI features.- Be an advocate for players and developers: Insist on the highest standards, drive to operational excellence, help create functional and engaging customer-centric features.A day in the life- You thrive in a collaborative environment where your decisions have significant impact and influence.- You are passionate about building game experiences that delight players.- You deliver great workflows and tools to your fellow developers and constantly seek improvement.- You want to be part of something exciting and unique in the gaming ecosystem.- Your day-to-day involves working closely with designers and artists to unlock generative AI features and tools; this involves a few regular meetings but mostly a lot of interaction either face-to-face or invirtual channels - the structure of your day includes these interactions but also a lot of focus time in implementing these ideas.About the teamOur product is an unannounced game built by a team with veterans from many popular titles like Destiny, Bioshock, Bioshock Infinite, Hogwarts Legacy, Mortal Kombat, World of Warcraft, EverQuest, EverQuest 2, PlanetSide 2, and H1Z1. Come join our passionate team and help make the next game that everyone will be downloading to their PCs and consoles!BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- PhD or Masters of Science degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field and 6+ years of Research Experience- Experience utilizing ML frameworks (i.e. PyTorch, TensorFlow, Keras, or similar)- Extensive knowledge and practical experience in at least one of these areas of machine learning: Deep Learning systems, NLP, Reinforcement Learning- Experience in designing, deploying ML/AI services and making them ready for production ...

The Mission of Amazon's Artificial General Intelligence (AGI) team is to "Build world-class general-purpose intelligence services that benefits every Amazon business and humanity." Are you a data enthusiast? Are you a creative big thinker who is passionate about using data to direct decision making and solve complex and large-scale challenges? If so, then this position is for you! We are looking for a motivated individual with strong analytical and communication skills to join us.In this role, you will apply advanced analytics techniques, AI/ML, and statistical concepts to derive insights from massive datasets. The ideal candidate should have expertise in AI/ML, statistical analysis, and the ability to write code for building models and pipelines to automate data and analytics processing. They will help us design experiments, build models, and develop appropriate metrics to deeply understand the strengths and weaknesses of our systems. They will build dashboards to automate data collection and reporting of relevant data streams, providing leadership and stakeholders with transparency into our system's performance. They will turn their findings into actions by writing detailed reports and providing recommendations on where we should focus our efforts to have the largest customer impact. A successful candidate should be a self-starter, comfortable with ambiguity with strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment. They will also help coach/mentor junior scientists in the team. The ideal candidate should possess excellent verbal and written communication skills, capable of effectively communicating results and insights to both technical and non-technical audiencesBASIC QUALIFICATIONS- 5+ 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 data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- Experience with statistical models e.g. multinomial logistic regression- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Amazon CloudWatch is the native AWS monitoring and observability service for cloud resources and applications. We are seeking a talented Senior Applied Scientist to develop next-generation scientific methods and infrastructure to support a core AWS business that delivers critical services to millions of customers operating at scale. This is a high visibility and high impact role that work on highly strategic projects in the AI/ML and Analytics space, will interact with all levels of AWS leadership.We are developing solutions that not only surface the “what” but also the “why” and “how to fix it”, without requiring operators to have extensive domain knowledge and technical expertise to efficiently troubleshoot and remediate incidents. Using decades of AWS operational excellence coupled with the advances in LLMs and Gen-AI technologies, we are transforming the very core of how customers can effortlessly interact with our offerings to build and operate their applications in the cloud.We are hiring to grow our team, and are looking for well-rounded applied scientists with backgrounds in machine learning, foundation models, and natural language processing. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, mission driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesAs an Applied Scientist II you will be responsible for* Research and development of algorithms that improve training of foundation models across pre-training, multitask learning, supervised finetuning, and reinforcement learning from human feedback* Research and development of novel approaches for anomaly detection, root cause analysis, and provide intelligent insights from vast amounts of monitoring and observability data* Collaborating with scientists, engineers, and Product Managers across CloudWatch team as well as directly with customers* Lead key science initiatives in strategic investment areas of AI/ML/LLM Ops and Observability* Be an industry thought leader representing Amazon at top-tier scientific conferences* Engaging in the hiring process and developing, growing, and mentoring junior scientistsA day in the lifeWorking closely with and across agile teams, you will be able to see and feel the impact of your work on our customers. This is a high visibility and high impact role that will interact with all levels of AWS leadership. Our ideal candidate is excited about the incredible opportunity that cloud monitoring represents and is deeply passionate about delivering the highest quality services leveraging AI/ML/LLMs. You’re naturally customer centric and thrive in a fast-paced environment that requires strong technical and business judgment and solid communication skills.About the teamAmazon CloudWatch Logs is a core monitoring service used by millions of AWS customers. We move fast and have delivered remarkable products and features over the last few years to streamline how AWS customers troubleshoot their critical applications.Our mission is to be the most cost effective, integrated, fast, and secure logs management and analytics platform for AWS customers.We are a diverse group of product and engineering professionals that are passionate about delivering logging features that delight customers operating at any scale.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.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 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 ...