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Advance the state of the art in customer-obsessed science.
Muthonia Ngatia
Amazon was really attractive to me because I can work in an important and growing field in emerging market segments. I can also stretch myself in a way that I wasn't being stretched in my last job.
Muthoni Ngatia, economist

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1,586 results found
  • US, NY, New York
    Job ID: 1603829
    (Updated about 7 hours ago)
    Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.This opportunity is for the Advertising Forecasting Science team, which consists of scientists and engineers based in Palo Alto, California. The team builds forecasting models for advertising campaigns and financial planning, with revenue exceeding tens of billions of dollars. In addition, the forecasting science team makes auction prediction and handles bid optimization for billions of requests per day, impacting the company’s performance directly using advanced Machine Learning algorithms.As a Data Scientist on this team you will:· Solve real-world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.· Apply statistical or machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you defined· Deliver with independence on challenging large-scale problems with ambiguity.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
  • US, MA, Boston
    Job ID: 1603469
    (Updated about 12 hours ago)
    Help us shape the future of Alexa where it not only responds to requests from you but also anticipates what you need next and informs you of it at the right moment. We are looking for a seasoned applied scientist to understand signals of engagement, frustration and postive re-enforcement from customers over several diverse voice and visual experiences across Amazon Echo products.A day in the lifeAs an Applied Science in the Alexa Experiences and Devices organization, you will be solving key challenges in how customers learn about and interact with voice assistants, and enable customers to get the most out of our products. You will design and develop fast, efficient, and highly scalable machine learning algorithms. You will work on developing novel solutions using large-scale real-world datasets. You will work with senior scientists, engineers, and product team within Alexa to build, evaluate, and deliver your solutions. You will have a chance to directly impact customers experience with Alexa by developing innovative solutions that enable Alexa to continually learn and improve based on customer interactions.About the hiring groupAlexa Feedback is an engineering and science team within Alexa. Our mission is to give voice to customers, enabling them to be heard and for Alexa to continually improve. We seek to organize, unify and understand all of the ways customer provide feedback to Alexa.Job responsibilities. Design, build, test and release strategic ML models· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, and transformation.· Collaborate with colleagues from science, engineering and business backgrounds.· Present proposals and results to partner teams in a clear manner backed by data and coupled with actionable conclusions· Work with engineers to develop efficient data querying and inference infrastructure for both offline and online use cases. Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences.. Potentially support published works.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
  • US, MA, Cambridge
    Job ID: 1603467
    (Updated about 12 hours ago)
    The Alexa Artificial Intelligence (AI) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.A day in the lifeAs an Applied Scientist with the Alexa AI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding.Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.You will help mentor junior scientists, and create and drive new initiatives.About the hiring groupThe Alexa Artificial Intelligence (AI) team has a mission to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.Job responsibilitiesAs an Applied Scientist with the Alexa AI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding.Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.You will help mentor junior scientists, and create and drive new initiatives.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
  • US, WA, Seattle
    Job ID: 1603423
    (Updated about 13 hours ago)
    The Alexa Artificial Intelligence (AI) team is looking for a passionate, talented and inventive Senior Applied Scientist with a strong machine learning background to build state-of-the-art ML systems powering Alexa’s interactions with its customers. Join a dynamic and innovative team of scientists who are using machine learning, large scale database, information retrieval and natural language technologies to make Alexa more knowledgeable and accurate.A day in the lifeAs a Senior Applied Scientist, you will be developing AI & ML techniques in entity representation, linking, and knowledge graph problems. You will enjoy a creative environment that balances research with application, explore the frontier of ML techniques, and help build a key piece for Alexa's functionality. You will work closely with engineering and business teams to lead the end-to-end process of identifying problems, implementing solutions, and scientifically measuring the impact on downstream systems. If you love massive scale problems and want to build AI systems which reach out to millions of users - this is the team for you!About the hiring groupThe Alexa AI organization is responsible for cutting-edge research and development in virtually all fields of human language technology, with the objective of making Alexa more smarter, trustworthy and responsive for our customers. Our team is focused on organizing information and knowledge, and making it actionable on Alexa through natural inputs in all languages and all modalities.Job responsibilities· Use NLP, deep learning and graph ML techniques to create scalable solutions for entity ingestion, linking and creation of enriched knowledge representations· Develop systems to extract & align entity information from massive structured and unstructured catalogs and knowledge bases, and process them to build linked entity representations· Design, experiment and evaluate highly innovative models for predictive, explainable learning· Work closely with other scientists from Alexa AI teams to build state-of-the-art ML systems powering Alexa· Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations· Research and implement novel machine learning and statistical approachesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
  • US, WA, Seattle
    Job ID: 1602984
    (Updated about 11 hours ago)
    Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!The Ad Response Prediction team builds innovating click-through rate & conversation rate machine learning models, pipelines, and real-time serving infra to match shoppers’ intent to relevant ads on all devices, for all contexts and in all marketplaces. Through precise estimation of shoppers’ interaction with ads and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for talented Applied Scientists to join the team.This team is directly impacting customers in meaningful ways and contributing to billions of dollars in revenue!As an Applied Scientist on this team you will:· Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.· Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.· Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.· Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new predictive learning approaches for the sponsored products business.· Write production code to bring models into production.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
  • US, CA, Sunnyvale
    Job ID: 1602055
    (Updated 1 day ago)
    Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?The Role:You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness.Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques.In this role, you will:· · Evaluate and optimize thermal solution requirements of handheld consumer electronic products· · Use simulation tools like FloTherm XT/EFD for analysis and design of products· · Validate design modifications for thermal concerns using simulation and actual prototypes· · Establish temperature thresholds for user comfort level and component level considering reliability requirements· · Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues· · Use of programming languages like Python and Matlab for analytical/statistical analyses and automation· · Collaborate as part of device team to iterate and optimize design to establish and deliver project performance objectives· · Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins· · Create and present analytical and experimental results· · Develop and apply design guidelines based on project learnings
  • US, CA, Sunnyvale
    Job ID: 1601971
    (Updated 1 day ago)
    Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics.The Role:“If you do not work on an important problem, it's unlikely you'll do important work.” – Richard HammingWe have important problems to solve. There are great, world-changing products that should exist, but do not, because the technology to enable them does not exist. Yet. That’s where you come in. We are a smart team of doers that work passionately to apply cutting-edge advances in robotics to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. Key responsibilities will be to understand the state of the art, conduct research and develop algorithms by collaborating with cross-functional engineering teams including Amazon Robotics, to put the concepts you develop into production. You will determine where commercially available solution and academic research can be applied to solve Amazon business problems, as well as identify opportunities for innovation. You will use data to train and test algorithms to bring them up to production level quality.We are seeking an Applied Scientist with a background in Computational Geometry, Geometry Processing, 3D reconstruction and practical experience in Deep Learning. If this describes you, come join our team at Lab126 in the heart of Silicon Valley. A researcher on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.If you join us, your opportunities will include:· Work on ambiguous problem areas and help formulate the problem statement· Research, design, implement and evaluate novel algorithms· Collaborate closely with team members on developing systems from prototype to production· Work closely with partner engineering teams to drive scalable implementations that can be leveraged by high value customer features
  • US, WA, Seattle
    Job ID: 1601465
    (Updated 1 day ago)
    Economists at Amazon Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.A day in the lifeEconomists at Amazon Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.About the hiring groupEconomists at Amazon Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Job responsibilitiesAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
  • US, Virtual
    Job ID: 1601448
    (Updated 1 day ago)
    To meet the growing demand for Amazon Web Services around the globe, we need exceptionally talented, bright, and driven people. We are looking for a dynamic, organized self-starter to join the AWS Certification Team focusing on holistic strategies and multiple audiences for our AWS Certification offerings. As part of this team, you will be responsible for maintaining the validity of our offerings and supporting initiatives to improve quality and efficiency and aligned to AWS technologies, solutions, and services.We are seeking a Research Scientist with experience working with criterion-referenced assessment programs to support a large global AWS Certification program. In this role, you will support AWS Certification efforts to conduct job analyses, set passing scores, create construct maps, deploy methodologies for automatic item generation, support item and test analyses for active exams, and evaluate the adequacy of existing item banks for form development plans.You will work closely with an existing team of senior psychometricians and certification exam program managers in development, publishing, delivery, security, product management and translation/localization to support ongoing analyses of exam data. To be successful in this position, you must be highly motivated, creative, and a self-starter who is able to think big, execute, yet stay focused on the details.Key Responsibilities:· Conduct/support Job Task Analysis (JTA) workshops and post-JTA survey analyses to define the blueprint and test specifications for new certifications or updates to existing certifications· Conduct standard setting studies to set the passing score for an exam· Support ongoing efforts to incorporate Automatic Item Generation and Assessment Engineering into the item development processes· Support item analysis to evaluate quality and performance of active exam items· Interpret and clearly communicate the results of analyses to stakeholders through written and oral reports· Follow the accreditation standards set by ISO/IEC:2012 17024 and the National Council for Certifying Agencies (NCCA) as they relate to valid psychometric practices· Contribute to the development and execution of the strategic goals regarding the AWS certification program.· Consult with leadership, internal staff, external consultants, and industry leaders regarding advancement of current offeringsAbout UsAs cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 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 14 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 balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.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 employee and enable them to take on more complex tasks in the future.This position can be performed from any AWS US corporate office.The pay range for this position in Colorado is $132,800 - $160,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
  • LU, Luxembourg
    Job ID: 1602596
    (Updated about 24 hours ago)
    THIS IS A FIXED TERM CONTRACT JOB THAT ENDS ON 1st JUNE 2022.EU Global Transportation Technology Services is looking for a Research scientist to play a key role in maintaining and transforming EU Supply Chain and Trans data lake into meaningful analytics. The ideal candidate will be passionate about partnering in a team that drives next generation extremely large, scalable and fast distributed systems on AWS stack (with focus on Redshift). The candidate will help us grow our capability set, drive efficiency, and improve our overall data technology offering.The ideal candidate has exposure to both data management and science. The candidate should we well versed in data modelling, ETL design, and can build optimized data pipelines for a BigData environment. As a scientist, the candidate can take on ambiguous problems (EU/NA) and use science based techniques to develop solutions and publish papers with the team.This candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and above all else, is passionate about data and analytics. S(h)e should possess excellent communication skills as the candidate will work closely with diverse teams and sometimes senior leadership. In addition, the candidate should demonstrate thought leadership to drive business insights through machine/deep learning initiatives using out elaborate data sets.Along with complex problems to solve, we provide you world class work environment and a chance to work with few of industry most talented team members in data engineering space and opportunity to contribute and create history while having fun.Responsibilities· Develop science based models to calculate heuristics for transportation business· Manage large redshift clusters (approx. 4PB) for analytical needs· Implement and test data pipelines from variety of systems (batch and real time).· Collaborate with the development team and end customers.· Advise the team on optimization, performance tune when required· Ensure quality of data through tested deliverables and auditing· Understand team, data and software architecture; actively seeks knowledge and solutions
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