Data Science

Amazon Prime’s Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon’s consumer business and aspires to be the world’s most engaging, satisfying, and loved membership program, driving growth and profitability. The program serves over 200 million members across 25 countries and is key to Amazon’s customer growth and engagement. Prime Science innovates in Artificial Intelligence and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. To lead Prime’s growth and impact through science and innovation, we are seeking a Principal Applied Scientist, Prime Science, to create and deliver Machine Learning innovation both for customer facing and internal solutions. To be successful in this role you should be recognized as an industry expert who has experience defining a long-term science vision, driven fundamentally from the needs of customers, translating that direction into specific plans for research scientists, applied scientists, engineering, and product teams. This is a role that combines science leadership, organizational ability, technical expertise, product focus, and business understanding.Prime is committed to diversity, equity, and inclusion and recognizes that our ability to serve our members is contingent on having diverse backgrounds, ideas, and ways of working on our team. This leader plays a key role as a member of the Prime worldwide leadership team to set the right organizational vision, standards, and mechanisms to ensure Prime is the best place for top talent to thrive. Key job responsibilities- Own and drive the most complex and strategic solutions across the business; responsible for many billions in revenue.- Act as a thought leader and forward thinker, anticipating obstacles to success and helping avoid common failure modes.- Research, build, and deploy innovative machine learning solutions; working across all technical disciplines.- Partner with science, engineering, and product leaders across the business to identify and deliver innovative machine solutions; identify new opportunities, define the vision and execute solutions that continually delight customers.- Hire, mentor, and guide senior scientists; partner with engineering leaders to build efficient and scalable solutions.BASIC QUALIFICATIONS- Ph.D. in Machine Learning, Computer Science, or related disciplines.- 10+ years of post-Ph.D. experience, delivering highly effect machine learning solutions that solve real-world problems at a very large scale.- Expert in machine learning, statistics, and experiment design.- Expert in taking machine learning solutions into production at a large scale.- Experience with Large Language Models and Generative AI.- Experience hiring and building teams of applied scientists.- Proven communication and collaboration skills that enable you to earn trust at all levels of a large organization; ability to influence ...

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 ...

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

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.We are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. You will: - Develop and improve the current data architecture, data quality, monitoring and data availability. - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning - Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business. - Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers - Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

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

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

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.Amazon Music is awash in data! To help make sense of it all, the CAST team within DISCO (Data, Insights, Science & Optimization) team accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. The CAST team enables repeatable, easy, in depth analysis of music customer behaviors. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data and devops, then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow and Java services.We are looking for a talented, curious, enthusiastic, and detail-oriented Data Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. The CAST team develops data specifically for a set of key business domains like personalization, playlist programming, merch, artists, and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, and Lambda. Key job responsibilities* Writing scripts, building microservices in AWS to increase team efficiency* Building and managing ETL pipelines in AWS to ingest data from external vendors* Assist the BIs on the team in managing our existing environment that consists of Redshift and SQL based pipelines. The activities around these systems will largely be well-defined via standard operation procedures (SOP) and typically involve approving data access requests, subscribing or adding new data to the environment, but there will be cases where creative problem-solving is required* SQL data pipeline management (creating or updating existing pipelines) and maintenance tasks on the Redshift cluster* Assist the team with the management of our next-generation AWS infrastructure. Tasks includes infrastructure monitoring via CloudWatch alarms, infrastructure maintenance through code changes or enhancements, and troubleshooting/root cause analysis infrastructure issues that arise, and in some cases this resource may also be asked to submit code changes based on infrastructure issues that arise.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets- Experience writing and optimizing SQL queries with large-scale, complex datasets- Experience with one or more scripting language (e.g., Python, KornShell, Scala) ...

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the RoleAs a data engineer in the Monetization organization you will work on making Twitch’s massive data sets robust and consumable by people around the company. You’ll work with a team of other data engineers to build and maintain data pipelines that allow our stakeholders to understand our business.We’re a distributed team with members all over the country. You can work from Twitch’s headquarters in San Francisco, CA; or from one of our hub locations in Seattle, WA; Irvine, CA; or New York City, NY.You Will- Work closely with data scientists and engineers to create robust data architectures and pipelines.- Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions- Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3.Perks- Medical, Dental, Vision & Disability Insurance- 401(k)- Maternity & Parental Leave- Flexible PTO- Amazon Employee DiscountBASIC QUALIFICATIONS- 1+ year of experience working in a data engineering, data science, or software engineering capacity- Deep expertise in writing and maintaining robust data pipelines in SQL- Ability to turn data requirements from stakeholders into actionable plans- Extensive experience with cloud computing tools, like AWS, Azure, or Google Cloud- Knowledge of data quality best practices ...

Amazon Private Brands is looking for a Data Scientist to join our Private Brand Intelligence (PBI) Sourcing Guidance team. PBI applies Machine Learning, Statistics, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business and develop statistical models and algorithms to drive strategic business decisions and improve operations. About the teamWe are an interdisciplinary team of Scientists, Economists, and Engineers, incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.About the roleYou will work with business leaders, PMs, scientists, and economists to deep dive existing business problems, translate them into business and functional requirements and design concrete deliverables. These deliverables can include the design, development, testing of new in-house statistical models/ML models/Optimization engines, etc. and/or partnering with our sister teams to develop an improved version of an existing model/system. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems and enable measurable actions on the consumer economy. We are particularly interested in candidates with experience applying stat, ML and OR concepts to business problems. To learn more about Amazon Science, please visit https://www.amazon.science (https://www.amazon.science/).BASIC QUALIFICATIONS- 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 3+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Amazon revolutionized customer service, now we are changing what customers expect from technical support. Device, Digital and Alexa Support (D2AS) is responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products, from Kindle and Echo, to Amazon Music and Prime Video.We’re seeking an Applied Scientist to develop cutting-edge AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to understand and resolve customer issues and provide earth's best customer service. We are looking for individuals with a passion for learning, researching, and deploying production-ready science solutions in a highly collaborative environment. We like to ideate, experiment, iterate, optimize and scale quickly, while thoughtfully balancing speed and qualityIf you have experience with two or more of the following: - Research and implementation of multi-turn task-oriented dialogue systems- Natural Language Understanding / Spoken Language Understanding- Information Retrieval, Question Answering, Semantic Representation- Zero-shot or Few-shot Learning- Crowdsourced NLU annotation best practices- Reinforcement Learning (preferably in an NLP application)- Computational Linguistics- Large scale text classificationThen we want to hear from you! Key job responsibilities- Drive collaborative research and creative problem solving.- Apply scientific concepts to real-world business problems.- Create experiments and prototype implementations of new learning algorithms and prediction techniques.- Collaborate with engineering teams to design and implement software solutions for science problems - Constructively critique peer research and mentor junior s and engineers.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamWe at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products.Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

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

WW Installments is one of the fastest growing businesses within Amazon and we are looking for a Data Engineer to join the team to support Amazon Monthly Payment (AMP) product. This group has been entrusted with a massive charter that will impact every customer that visits Amazon.com. We are building the next generation of features and payment products that maximize customer enablement in a simple, transparent, and customer obsessed way. Our mission is to delight our customers by building payment experiences and financial services that are trusted, valued, and easy to use from anywhere in any way. You will be at forefront of innovation and have high visibility across Amazon businesses and leadership. Key job responsibilitiesThis role will be responsible for:- Design and implement data pipelines to support machine learning models and critical business initiatives of AMP product across North American, Europe and Japan. - Collaborate with peer group to build WW Installments data platform and solutions used by teams worldwide to access reporting, deep dives, and installment related insights. - Work closely with product managers, software development engineers, scientists and business intelligence engineer to develop and execute the AMP product roadmap.- Engage business stakeholders in constructive dialogues to convert business problems into data pipeline logic. Identify new opportunities to influence business strategy and product vision using data.- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.- Establish and maintain best practices for the design, development, support of data integration solution, including documentation. 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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Our team's mission is to improve Shopping experience for customers interacting with Amazon devices via voice. We research and develop advanced state-of-the-art speech and language modeling technologies. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.Key job responsibilitiesWe are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech and Language technology.As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to drive the state of the art in speech synthesis.Position Responsibilities:* Participate in the design, development, evaluation, deployment and updating of data-driven models for Speech and Language applications.* Participate in research activities including the application and evaluation of Speech and Language techniques for novel applications.* Research and implement novel ML and statistical approaches to add value to the business.* Mentor junior engineers and scientists.BASIC QUALIFICATIONS- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations- PhD- Experience in Python, Perl, or another scripting language ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world.Key job responsibilitiesThe Kuiper SMART team is a team of Machine Learning Engineers, Scientists, and Data Engineers that is working with stakeholders across Kuiper to solve ML and AI problems. We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, NLP, to lead delivering best in class automated customer service and business analytic solutions for our partner, the Kuiper Customer Service team. As an Applied Scientist, you will be responsible for the development, fine-tuning, and evaluation of AI models that power our chatbot and IVR solutions. Your work will ensure the chatbot and IVR is accurate, reliable, and continually improving to meet customer needs. This role involves collaborating with cross-functional teams to integrate AI solutions into our customer service platform, monitor their performance, and implement ongoing enhancements.The ideal candidate has experience in successfully building chat bots using AI technologies, measuring their performance and delivering ongoing improvements.About the teamIn Project Kuiper, we believe that our differences makes us stronger. We are committed to Amazon’s culture of inclusion ingrained in our Leadership Principles, which encourages team members to seek diverse perspectives, learn and be curious, and earn trust. We want to foster a culture of collaboration, delivering results and work/life balance.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 ...

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 ...

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 ...

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEAudible's insights team leverages data to create value for our company and customers. We're seeking a Data Science Lead for our marketing and product measurement science team, to help us understand the return on investment (ROI) of our paid media and brand investments.As a Data Science Lead, you’ll manage a team of scientists working in the media measurement space. Your primary focus will be guiding scientific approach in developing and deploying advanced marketing measurement models (e.g., lifetime value, media mix). You will also lead Audible's scaled experimentation program, maintaining scientific integrity in global paid media experiments and guiding meta-analytical work to assess program health. Additionally, you will serve as the primary scientific contact for third-party media partners (Meta, Google), collaborating with them on new measurement approaches. You'll work with Audible marketers to translate sophisticated scientific methodologies into actionable business strategies, ultimately driving more effective marketing investments.ABOUT YOUAs a Data Science Lead, you will provide technical leadership in marketing measurement, design scalable model solutions, collaborate across scientific disciplines, communicate complex concepts clearly, and mentor team members to drive collective success.You have deep technical expertise across statistical modeling, machine learning, causal inference, and experimental design. You demonstrate a strong understanding of experimental design and evaluation. You are an expert in statistical modeling techniques. You have deep experience solving marketing-related problems, such as customer acquisition, retention, and ROI.You possess a strong ownership mindset and the ability to guide a technical team with minimal oversight. Your innovative problem-solving skills thrive in ambiguous environments, and you excel at translating complex scientific concepts into actionable insights. Outstanding business acumen, coupled with the ability to manage multiple projects simultaneously, defines your professional approach.You are committed to building a positive team culture, reliably delivering against commitments, and have a genuine passion for mentoring and developing scientific talent. You are adaptable across different scientific approaches and comfortable collaborating with cross-disciplinary scientific teams.As a Data Science Lead, you will...- Be a technical leader of other scientists, with substantial scope, impact, and visibility in the marketing measurement space- Understand complex use cases across the business and design scalable, efficient, automated model solutions, including developing, delivering, and improving various marketing measurement models- Collaborate with economists, applied scientists, and other data scientists on the right model specification(s) to serve business needs in the context of paid media measurement- Communicate clearly with senior audiences, translating complex scientific concepts into simplified, relevant outputs that can be quickly understood and actioned by both technical and non-technical colleagues- Mentor and grow scientists in your team and across AudibleABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- 3+ years managing a team of scientists or engineers, with a proven track record of hiring and developing junior team members- Master’s degree in relevant discipline and 5+ years of relevant professional experience (or equivalent)- Hands-on experience with marketing measurement models, including experience with articulating modeling trade-offs to business partners- Hands-on experience in designing and evaluating experiments, including experience with formal meta-analytical approaches for evaluating programs of experimentation- Hands-on experience with successfully putting marketing models into production- Fluency in Python and SQL- Experience influencing and delivering on a science roadmap ...

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 ...

As a Sr. Data Scientist on the Targeting & Tooling team, you will have the opportunity to gain deep insights into customer needs and accelerate our go-to-market strategies. Leveraging cutting-edge AI and machine learning techniques, you will provide actionable and understandable recommendations that enable our sales teams to anticipate customer requirements and identify those best positioned to benefit from Amazon Web Services (AWS) cloud solutions. You will work closely with stakeholders throughout the organization to consume, analyze, and interpret customer data from a variety of sources. You will convey technical concepts clearly to both technical and non-technical audiences. You will identify trends and tell compelling data stories.You will help improve customer experiences and drive business results as a key member of the World Wide Specialist Organization (WWSO) team.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to 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.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.Key job responsibilities- Leverage machine learning and advanced analytical techniques to extract meaningful insights from large, complex data sets related to GenAI, Enterprise Applications, Containerized Applications, and Serverless applications.- Build, evaluate, and optimize data science models to solve focused business problems such as improving customer targeting, predicting product demand, and identifying growth opportunities.- Work closely with Go-To-Market, field teams, and product teams to understand key challenges and inform strategic initiatives with data-driven recommendations.- Communicate analysis, results and recommendations clearly to key stakeholders to influence Go-To-Market strategy.- Keep updated on latest data science and machine learning advancements and evaluate new methods for applicability to current business problems.- Develop best practices for building, evaluating, deploying and monitoring analytical models in production environments.A day in the lifeAs a Data Scientist on the Targeting and Tooling team, a typical day may start by meeting with our go-to-market teams to deeply understand the customer challenges they want to solve, the AWS services and technologies that can address those needs, and the key success metrics for their initiatives. You will translate business goals into focused, data-driven projects. This involves identifying leading indicators and unique data sources to model ideal customer profiles and high-potential targets. About the teamThe Targeting and Tooling team plays a crucial role in enabling AWS go-to-market teams to achieve their strategic initiatives. We leverage cutting-edge data science and machine learning techniques to equip our sales and marketing teams with actionable insights that accelerate cloud transformation.Our core mission is to provide data-driven targeting that allows AWS go-to-market teams to anticipate customer needs early and identify high-potential opportunities. Working closely with stakeholders, we first strive to thoroughly understand existing solutions and offerings along with their target outcomes. With this context, we develop innovative predictive models that identify both current ideal customers and those likely to expand their AWS footprint over time. In addition, we create novel metrics and adoption models that measure the overall success of the initiative.The Targeting and Tooling group produces the actionable intelligence that directly informs go-to-market strategies worldwide. The insights we uncover help prioritize accounts and opportunities to drive AWS growth. As a team of elite data scientists and machine learning engineers, we shape plans that support sales, marketing, and cloud adoption success across all industries.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 ...