The Amazon Topology team determines how many, what kind, and where to place new buildings for Amazon's supply chain. These facilities range from million-square-foot Fulfillment Centers with thousands of robots down to inner-city Prime Now facilities serving orders to be fulfilled within an hour. Each year we spend billions on these facilities and expect high-impact results from the network built upon them. If you are interested in diving into a multi-discipline, high impact space this team is for you.In addition to build decisions, we also use forecasting techniques for long term estimates, optimization, probability in decision making, machine learning to approximate the network, and simulation of how our choices will perform. The team is a mixture of Software Engineers, Operations Research Scientists, Applied Scientists, Business Intelligence Engineers and Product Managers.We are looking for an Applied Scientist who has a deep knowledge of either forecasting or optimization. Those who are strong in forecasting space should have a breadth of other ML experience in a production environment using techniques such as classic time-series ARIMA, Regression, and/or LSTM (long-short term Memory) neural network. This role will focus on improving our forecasts and build recommendations for Amazon's specialty networks.To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create truly innovative products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We are seeking a Senior Data Scientist to join the Sponsored Products Auction team. This team is responsible for building and evaluating mechanisms to rank and price billions of ad impressions per day. We're looking for a Data Scientist to define measures of auction efficiency and produce insights into the quality of inputs to our auction (supply, demand, ML model predictions). This role will also be responsible for more exploratory data analysis to identify opportunities for improvement of the system, working closely with Economists, Applied Scientists and Engineers to improve our product.In this role, you will:· Perform hands-on data analysis and modeling with very large data sets to develop insights into different aspects of our business (monetization, shopper experience, advertiser experience, marketplace dynamics)· Define and build tools and processes to monitor these metrics (weekly business reviews, dashboards, automated alarming)· Use data to identify opportunities to improve our systems.· Work with scientists and economists to model complex interactions in our systems· Lead and mentor junior data scientists, with an opportunity to grow into a team leader· Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences
Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use.Technical Responsibilities:- Interact with various teams to develop an understanding of their security and safety requirements.- Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.- Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.- Perform analysis of the customer systems using tools developed in-house or externally provided- Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.Leadership Responsibilities:- Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.- Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.- Mentors and trains the research scientist community on complex technical issues.
Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.For our part, Amazon has begun the work of building incremental testing capacity.The Role:The diagnostic research scientist shall possess a bachelor’s degree in biological science / microbiology. The individual will be a key member of the team bringing up new test hardware and protocols. They will also help resolve any challenges with laboratory operations, from a biological/clinical test perspective. This scientist will be working with a team of laboratory staff, engineers, operational leaders, and Lab Directors to create a culture of constant improvement and an increasing high-bar for operational performance.
Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.Our team's mandate is to accelerate advertising in the Books category as it requires a differentiated customer and advertiser experience. We own end-to-end the advertising experience including placements, ad relevance, creative, ad serving, advertiser experience, and marketing. We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. We are investing in a deep science and technical team to pursue a transformation opportunity.About this role:We are seeking a talented, energetic, entrepreneurial, and self-driven Senior Data Scientist to join our team. Our team works on complex science, engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. Leveraging Amazon's massive data repository, our data scientists develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.In this role, you will:· Solve new and challenging problems using statistical, Machine Learning, or optimization approaches to create measurable customer facing impact.· Translate prototype models to production quality, scaling to millions of customers and across different languages.· Design experiments leveraging your models to measure effectiveness.· Work closely with product, business and engineering teams to execute on your project plans.· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
Alexa Video group is responsible for voice enabling several video experiences on popular devices like Fire TV, Echo Show, Roku, Xbox etc. We are building a voice first video search and recommendation system which can help users find the engaging video content from a vast catalog of videos from Prime Video, Netflix, Hulu, Disney+, ESPN, CNBC etc.In this role, you will build cutting-edge large-scale machine learning models to improve quality of video content served to Alexa customers be it the home screen or search results page on several Alexa powered devices. These models will apply state of the art online learning techniques and will be trained on a variety of speech, text, visual, customer implicit and explicit preferences and video content features and will improve both recall and precision of our video search and recommendation results. These models will scale to multiple languages and countries and will provide inference within a few milliseconds’ latency. You will focus on unearthing customer problems and coming up with novel ways to solve these. You will propose hypotheses, validate these offline and run A/B tests to validate them online. As part of these activities, you will develop models that serves millions of video requests.You will work with larger Amazon science community and contribute towards advancing the state of art on voice search via research papers, publications and patents.Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN).
Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon has invested in Amazon Logistics, a world class last mile operation. We are looking for a dynamic, resourceful, and organized Data Scientist within Amazon Logistics’ Amazon Flex organization to develop the right data-driven solutions to support the most critical components of this rapidly scaling operation.As part of the Driver Science team, you’ll partner closely with Science, Product, and Program teams to design of new and innovative solutions to organizational and business problems, using statistical best practices to justify design decisions using data. You will be expected to be a subject matter expert in quantitative analysis and to communicate highly complex findings to multiple audiences. You may come from one of many different types of quantitative backgrounds, but you must be comfortable with multiple modeling techniques such as linear and logistic regression, supervised and unsupervised clustering and segmentation, and forecasting. You will be able to acquire new techniques with practice, and be willing to show flexibility in finding the right technique to match the research problem.In addition to designing meaningful research questions and analyzing the resulting data, you must be able to see a full loop vision that goes beyond experimentation to conceptualizing design solutions, collaborating closely with multiple teams to ensure the relevance and impact of your work to business stakeholders. You will be responsible for developing new predictive and optimization models, as well as algorithms for key applications and discovering new ways to solve organizational problems. Successful candidates will have a deep knowledge of quantitative modelling in at least one area (ML, optimization, multivariate statistics), the ability to build and refine prototype models that can be implemented in production, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long-term problems.Key Responsibilities:· Conceptualize and lead global research initiatives· Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects.· Functionally decompose complex problems into simple, straight-forward solutions.· Share deep knowledge in statistics, machine learning, multivariate modeling, or optimization research applicable to our problem space.
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, 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?Work hard. Have fun. Make history.The Role:The diagnostic research scientist shall possess a bachelor’s degree in biological science / microbiology, as well as training in a CLIA lab along with certification that is renewed annually.
The BASE Funnel Insights team (BFI) is looking for an experienced Data Scientist to develop new research and measurements that capture the holistic value brand advertising and shopping experience programs (Sponsored Brands, Stores, Posts and Follow) generate for brands and our customers.This role requires a team member with strong quantitative modeling skills and the ability to apply statistical methods to large amounts of customer-brand engagement data. The candidate should have strong communication skills and work efficiently with our team of scientists, product managers and developers to translate data-driven findings into new actionable insights, measurements, and optimization strategies.The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and an ability to work in a fast-paced and ever-changing environment. This person will also be highly proficient in communicating their research and recommendations to technical and business stakeholders.Key responsibilities:· Build and continually improve offline and online customer-brand segmentation data.· Develop new models that measure the impact of BASE programs on brand performance and the customer experience.· Work closely with business, engineering and scientists within the Amazon Advertising BASE organization to integrate new models into production systems.· Translate ambiguous business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies.· Effectively document and communicate methodologies and results to senior stakeholders.· Provide informal direction and guidance to more junior members of staff on all aspects of analytics from business context and prioritization to technical coaching.
Amazon strives to be Earth's most customer-centric company. To achieve this, we hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists for Amazon will be expected to work directly with senior management on key business problems faced in retail and marketing. The role allows you to influence company-wide strategy by applying the frontier of economic thinking to forecasting, program evaluation, customer behavior and other areas. Economists at Amazon will be expected to develop new techniques to process large data sets, use econometric models and methods to address complex problems, design and test hypothesis on customer pain points and key growth ideas and contribute to design of automated systems around the company.We are looking for a results-driven Economist to join the Grocery marketing organization. The team is focused on driving awareness and adoption of grocery delivery as a new Prime benefit. The team is dedicated to innovating and failing fast with minimal resources.Economists will work closely with other research scientists, machine learning experts, and economists globally to design new frameworks for understanding online and omnichannel customer behavior. Research science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our economists and scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon. This role demands a high capacity to Learn and Be Curious as we need to be constantly adapting to changes in our business and be up to speed on the latest systems, tools, and techniques for extracting, processing, analyzing, modeling, and taking action on data.The key strategic objectives for this role include:· Provide data-driven guidance and recommendations on strategic questions for understanding downstream customer behavior· Design experiments and define and analyze success metrics· Identify opportunities/tests that drive product discovery, new customer acquisition or purchase frequency with the end goal to drive growth.· Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results.
The Amazon Devices-Demand Planning team is seeking an outstanding scientist with strong analytical and communication skills to help with demand forecasting and supply optimization for the entire Amazon device family of products and accessories. We develop scalable and robust state-of-the-art solutions that involve learning from different data sources. This role is central to the continued growth of Amazon Device division as we have grown from the first Kindle E-Reader to a vast portfolio of Echo, Fire TV, Fire Tablet, E-Reader, Ring and many other devices. With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.In this role, you will have an opportunity to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment. You will collaborate closely with engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices.You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, and analyzing predictive models.Key responsibilities:· Research and develop new methodologies for demand forecasting.· Improve upon existing methodologies by adding new data sources and implementing model enhancements.· Drive scalable solutions.· Create and track accuracy and performance metrics (both technical and business metrics).· Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
Amazon’s Workplace Health and Safety (WHS) organization is changing the way we think about our workplace, so that we can keep our associates healthy and safe. We have just started scratching the surface in terms of possibilities, and are exploring everything from using devices to monitor and improve health, to linking together data from our buildings and devices to predict safety-related events. Our team is reinventing the way Amazon anticipates, assesses, and manages workplace hazards and risks. So, if creating industry-first products and solutions interests you, then this might be the role for you.The WHS Data Scientist role will work closely with our global program and business leaders to perform multi-layered research and analysis to build deep understanding of the space, and to enhance processes with data-based frameworks that predict workplace risks. Broadly, this person will work with our teams to optimize our global environment, health and safety processes in several ways – from anticipating hazards that could impact people or the environment, to testing hypotheses on specific problems that have been notoriously difficult to solve, and in building machine learning into automation to continuously optimize throughput.If you are a mental athlete who runs towards big problems and can repeatedly surmount challenging obstacles then join us. The ideal candidate is a self-starter, and can work efficiently in a fast-paced environment. The candidate has strong technical background and documented experience of working with complex and large datasets. The candidate has proven experience in partnering with business and technical teams. The successful candidate puts customer first, and has an impressive drive for results. The candidate must be skilled at anticipating and resolving problems, managing multiple priorities, and communicating effectively with different levels of the organization.We are looking to invite passionate leaders, with expertise in generating business insights from very large datasets, on a journey where the primary aim would be to enable needle moving business impacts through cutting edge statistical analysis and machine learning. Those who join this high visibility team would have to navigate through significant ambiguity in defining business problems and convert it to a machine learning problem definition.Key Responsibilities· Track general business activity and provide clear, compelling management reporting on a regular basis· Work to translate business requirements into problem definitions for ML· Define metrics to track performance, success and impact throughout the lifecycle· Provide architectural guidance and direction throughout the project lifecycle
Excited by Big Data, Machine Learning and Predictive Software? Interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on Terabytes of Data? Join our newly created Machine Learning Lab in Adelaide, South Australia!At Amazon Australia, we are developing state-of-the-art large-scale Machine Learning Services and Applications on the Cloud involving Terabytes of data. We work on applying predictive technology to a wide spectrum of problems in areas such as Amazon Retail, Seller Services, Customer Service and so on. We are looking for talented and experienced Machine Learning Scientists (Ph.D. in a related area preferred) who can apply innovative Machine Learning techniques to real-world e-Commerce problems. You will get to work in a team dedicated to advancing Machine Learning technology at Amazon and converting it to business-impacting solutions.Although this position will be based in Adelaide, South Australia, for the duration of the Coronavirus-19 outbreak arrangements will be made to enable the successful candidate to observe the relevant travel restrictions, possibly by working from home, or another Amazon office.Major responsibilities· Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems· Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes· Design, develop and evaluate highly innovative models for predictive learning· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research and implement novel machine learning and statistical approaches
The New Programs Group within Amazon Fashion is looking for Applied Scientist to help redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning. We’re looking for a thought leader to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will work with talented peers in a team that provides opportunities to innovate in a start-up mode, partner with business teams to deliver customer experiences that disrupt status quo.The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You do independent research and develop non-trivial Machine Learning solutions. You mentor and lead scientists and engineers, contribute to Amazon's Intellectual Property through patents and/or external publications.Position Responsibilities:· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) applications.· Develop and/or apply Machine Learning models (e.g. Deep Neural Networks), optimization methods, and other ML techniques· Build and deploy ML models on available data.· Research and implement novel ML and statistical approaches to add value to the business.· Mentor junior engineers and scientists.
Are you passionate about building systems that process massive amounts of data? Are you excited by developing and productionizing machine learning, deep learning and computer vision algorithms? Do you enjoy working with a huge diversity of engineers, machine learning scientists, and user-experience designers? If so, you have found the right match!The vision for Amazon Fashion is to create services, processes, tools and platforms to support innovative and engaging fashion experiences. The Fashion Science team at Amazon aims to make Amazon the number one online shopping destination for Fashion. We are seeking a Senior Applied Scientist who has a solid background in applied Machine Learning and Computer Vision, deep passion for building data-driven products and has of executing complex projects and deliver solutions that directly impact customers.Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique challenges in areas such as product recommendations, product discovery and data quality. The Fashion Science team builds large-scale machine learning systems to address these. We leverage the massive computing power of Amazon Web Services as well as big data technologies such as Spark and Hadoop to build data pipelines for hundreds of millions of products. Our data is used by numerous front-end teams to deliver amazing experiences to customers all around the world.Major Responsibilities:· Lead complex projects that design and build machine-learning, natural language processing, and computer vision solutions for our customers· Collaborate with PMs in Designers on customer-facing experiences that will utilize this data to transform the apparel shopping experience for Amazon customers.· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.· Drive continued scientific innovation as a thought leader and practitioner.· Provide technical and career development guidance to both scientists and engineers in the organization.
The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for an outstanding applied scientist who is able to provide structure around complex science and business problems, work with economists and engineers to estimate and validate their models on large scale data, and who can help business and econ partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project.We are particularly interested in candidates with research background in nature language understanding, experimental design, reinforcement learning, search/recommendation in working on innovative, strategic problems with significant business impact.
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLC, an Amazon.com CompanyTitle: Data Scientist IIWorksite: Santa Clara, CAPosition Responsibilities:Manage metrics reporting, perform data mining and big data analysis, to provide strategic advice on business and improve processes and systems. Collect business use cases, research and evaluate opportunities, and leverage data to support business functions through advanced mathematical modeling. Independently own and solve business problems. Transform business problems into mathematical models, provide data-driven solutions, and write clear and factually correct documents explaining technical concept to non-technical audience. Gather and use complex data sets across domains and proactively gather data when not readily available. Use specialized modelling software and scripting languages to scale methods. Partner with business, science, and engineering to establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Building and tuning machine learning models. Formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems in the NLU and Search domain.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
Amazon delights millions of customers around the world. Meet the behind the scenes team that enables our Human Resource and Operations Leaders to make informed decisions. The Amazon PeopleInsight team builds reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team getting you lunch in under an hour, or one of many more, the PeopleInsight group is there providing people metrics along the employee lifecycle for our global operations businesses. The PeopleInsight team is a collaborative group of Business Analysts, Business Intelligence Engineers, Data Engineers, Data Scientists, Product Managers, and Program Managers dedicated to empowering leaders and enabling action through data and science. We deliver workforce, associate experience, and leadership insights so Amazon leaders can focus their efforts in ways that will engage, retain and grow their associates.We are now recruiting for an exceptional Data Scientist, Worldwide OperationsThe ideal candidate will be:· A Well-Rounded Athlete –Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.· A Perpetual Student – You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to challenges they had not yet identified.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.Roles and ResponsibilitiesSuccess in this role will include influencing within your team and mentoring peers. The problems you will consider will be difficult to solve and often require a range of data science methodologies combined with subject matter expertise. You will need to be capable of gathering and using complex data set across domains. You will deliver artifacts on medium size projects, define the methodology, and own the analysis. Your findings will affect important business decisions. Solutions are testable and reproducible. You will create documents and share findings in line with scientific best practices for both technical and nontechnical audiences.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
LOCATION: Seattle, WAMULTIPLE POSITIONS AVAILABLE1. Perform analytical tasks on vast amounts of structured and unstructured data to extractactionable business insights2. Develop algorithms using advanced mathematical and statistical techniques includingmachine learning to predict business outcomes and recommend optimal actions tomanagement3. Use advanced algorithms to solve business problems, and transform one-off models intoautomated systems4. Analyze and validate data to ensure high data quality and reliable insights5. Run analytical experiments in a methodical manner to find opportunities for product andprocess optimization6. Communicate analytical output and business insights to management using visualizationtechniques and data storytelling7. Write concise documents communicating results to stakeholders and visualize data to drivedecision making#0000
In Customer Trust and Partner Support (CTPS), thousands of Amazonians spend their days obsessing over how to continually provide a safe and trustworthy store for our customers, brands, and selling partners. In this rich, demanding environment, it is vital that we invest significant effort to hire and develop the best.How do we do this effectively? That’s where you come in. Help us build a brand new core research team focused on talent growth and retention.We are seeking a behavioral research scientist with deep expertise in quantitative and experimental approaches to social science.You're a good fit for the role if you have experience independently owning research in the realm of quantitative social science end to end in industry settings. This includes ideation of research design and analyses to answer ambiguous questions, leading analysis and data collection, and disseminating findings to peers, stakeholders, and leadership.You will be responsible for developing and testing theoretical frameworks, inventing novel ways to generate insights, and identifying and developing rigorous analyses for a large variety of data. This role requires deep knowledge of statistics, including linear and logistic regressions, hierarchical models, structural equation models, and similar.As a research leader in the organization, you will also be responsible for mentorship of others, including mentoring junior team members, and providing learning opportunities for other members of the organization (think tech talks, workshops, etc).A customer-obsessed, relentless curiosity is a must, as is commitment to the highest standards of methodological rigor that a given study allows. This role provides significant opportunity to influence how CTPS hires and develops the best.If you’re hungry to engage and empower Amazonians with your expertise in mixed methods research, let's talk.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.