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Sr. Data Scientist
US, WA, Seattle
Your mission, should you be bold enough to accept it: invent scientific approaches that match today’s talent to the future roles of tomorrow. We’re looking for self-motivated builders to join a data-centric Talent Management team whose goal is to invent new, scalable ways to predict talent needs and to prepare our global workforce to impress our current and future customers. Specifically, this role focuses on creating and validating new measures to guide the best person-to-role fit and organizational designs. As a team, we shape the strategic direction and inform talent decisions at the highest levels.This role is an opportunity to work in unchartered territory, taking ownership and designing new data models from scratch. You will need to have deep statistical and/or machine learning expertise and capable of delivering solid models that can be created into products. Successful candidates will be able to define ambiguous problems, launch talent and role measurement experiments and transform the way we anticipate large scale talent needs and develop our future leaders.We are looking for a technical expert with a bend towards inventing new methods, who can think big and deliver scalable tech solutions to solve tough problems.Responsibilities· Work with our operations and HR customers globally to define and anticipate talent-related challenges· Dive into existing data sources (business, people, finance, role data, etc) as well as pitch and create new measures to inform possible data solves to business problems· Design and execute experiments expertly applying scientific rigor while making real world trade-offs to produce, sooner-rather-than later, actionable wins· Develop new predictive and optimization models as well as algorithms for key applications· Present analytic findings, and more importantly the business impact of and opportunity of the same, to senior leaders· Work in partnership with business stakeholders, HR tech and product owners to convert your data models into products· Continuously seek to innovate as business needs evolve and as you invent new, simpler more effective ways to measure and predict talent and role fit
Senior Applied Scientist - Delivery Experience
US, WA, Seattle
Why this job is awesome?· This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.· MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.· We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.- Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site?- Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-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 like to innovate and simplify?If yes, then you may be a great fit to join the Delivery Experience Machine Learning team.Major responsibilities:· Lead a ML team to research and implement machine learning and statistical techniques to create scalable and effective models in Delivery Experience (DEX) systems· Solve business problems and to identify business opportunities to provide the best delivery experience on all Amazon-owned sites.· Design, development and evaluation of highly innovative machine learning models for big data.· Analyzing and understanding large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities· Working closely with other software engineering teams to drive real-time model implementations and new feature creations· Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Data Scientist II for AdsEcon
US, WA, Seattle
Work at the intersection of data science and economics.The DAC AdsEcon Team is looking for a Data Scientist II to help and be part of a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data.Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses econometrics, machine learning, and data science to help advertisers choose the right advertising product to meet their marketing goals. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high level leaders.If you have a background in economics, computer science, statistics, or mathematics and have a passion for solving large, and impactful problems, this is the job for you. Key responsibilities of Data Scientist include the following:· Partnering with economists and senior team members to drive science improvements and implement technical solutions at the cutting edge of machine learning and econometrics· Helping build data systems that leverage diverse data sources to understand how different advertiser’s decisions impact their performance across multiple advertising products.· Build interpretable statistical models and analyze experiment results to answer questions that will drive high impact decisions across Amazon.About Amazon's Advertising business:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. 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. 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.
Senior Economist
US, WA, Seattle
Core AI is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve AI and ML problems that have high risk with abnormally high returns. Our team leverages the strengths of our engineers and scientists to build solutions for some of the toughest business problems here at Amazon.We are looking for a seasoned economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek 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.This role will be to work within Core AI to help support research and development on rapid proofs of concept for high-impact projects. The economist will have access to engineering and econometric tools, as well as Amazon's Scholar Residency Program, which consists of world-class academic scientists and researchers collaborating with internal partner teams to facilitate the delivery of Scholar led science into engineering systemsResponsibilities:* Work within Core AI teams to consult with internal partner terms on collaboration opportunities and to assess potential for impact.* Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model.* Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.
Manager, Research Science - Video Advertising
US, WA, Seattle
Amazon's advertising business spans across media formats audio, video and display. We are hiring experts in applied machine learning to lead research and development efforts to develop both scientific algorithms and associated systems to optimize video and audio advertising. 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.In this role you will lead the technical vision to leverage machine learning technology to advance video advertising. Your team will invent elegant frameworks for systems engineering, metrics and develop multi-dimensional optimization algorithms that help advertisers test and learn the impact of advertising strategies across channels.As a trusted science leader, you will influence the video advertising business and product strategy. You will partner with business leaders and product managers to develop strategic insights and product roadmap that will help advertisers make decision and execute them as necessary to deploy unique but measurable video ad experiences.You’ll be expected to:· Own technical vision and direction for our video advertising business and associated systems to optimize reach, frequency and return on advertising spend· Hire and lead a team to top-tier technical team.· Partner with product and business teams to develop a compelling vision and roadmap.· Drive efficient execution of new initiatives, including collaboration with advertising and partner teams· Serve as a technical lead on our most demanding, cross-functional projects.· Contribute to intellectual property development through patent generation.
Data Scientist, AWS
JP, Tokyo
AWS is looking for a customer-obsessed Data Scientist to join the team. AWS has a culture of data-driven decision making, and requires advanced sales technologies that are timely, accurate and actionable. This role will partner closely with the Commercial Sales teams to understand the needs of the team and ensure that the business teams are able to answer hard questions with real data.This individual will participate in business reviews and new-initiatives. They should be able to identify and help close gaps in the information available, as well as predict up-and-coming data-needs when participating in discussions about new products or features.A successful individual should be highly collaborative and organized. You should be capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data-sources, and be capable of participating in and understanding how multiple systems communicate information to one-another.Responsibilities include:- Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.- Translate basic business problem statements into analysis requirements.- Use analytical and statistical rigor to answer business questions and drive business decisions.- Find and create ways to measure the customer experience to drive business outcomes.- Utilize code (Python, R, Scala, etc.) for analyzing sales/marketing data and building statistical models to solve specific business problems- Apply or design highly innovative models for predictive learning, content ranking, and anomaly detection- Analyze and extract relevant information from historical data and open data to help automate and optimize key processes- Analyze key metrics or develop sub metrics to uncover trends and root causes of issues- Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, and share insights and recommendations
Applied Scientist II - AMZ4655
US, NY, New York
MULTIPLE POSITIONS AVAILABLEEntity: Amazon Web Services, IncTitle: Applied Scientist IILocation: New York, NYPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely 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.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Applied Scientist
US, MA, Cambridge
The Amazon Speech team designs and develops the core speech recognition technology used by numerous Amazon products including Amazon Echo, Amazon’s mobile shopping app and various other products and services.You'll be joining a multi-disciplinary team of software engineers and research scientists, that develop and deploy machine learning models to millions of echo devices worldwide. These models are used to wake up echo devices and are critical to magical experience our customers have come to expect.We are looking for passionate, hard-working, and talented Applied Scientists who have experience building innovative, mission critical, high volume applications that customers love. As a Applied Scientist in our team, you will be responsible for data-driven improvements to our models. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.Responsibilities:· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.· · Clean, analyze and select data to achieve goals· · Build and release models that elevate the customer experience and track impact over time· · Collaborate with colleagues from science, engineering and business backgrounds.· · Present proposals and results in a clear manner backed by data and coupled with actionable conclusions· · Work with engineers to develop efficient data querying infrastructure for both offline and online use cases
Applied Science Manager - Robotics
US, MA, Cambridge
A part of Amazon's Robotics Artificial Intelligence, Canvas Technology is using spatial AI to provide end-to-end autonomous delivery of goods. By using state-of-the-art cameras and other sensors, the system perceives its surroundings with unrivaled vision and fidelity. The system combines a mix of high-performance sensors with simultaneous localization and mapping software that builds and continuously updates maps in real-time, completely automatically. It has the capability to ‘see’ and identify different objects, people, vehicles, and places as it moves and react to moving people and vehicles in an intelligent way.We are seeking an experienced Manager of Applied Science to help guide and lead our team of motion planning scientists and engineers. In this role, you will be expected to help define a team direction for robot planning algorithms, object avoidance and congestion management strategies. This will include providing guidance on system architecture and algorithm selection or design. This is not solely a management role, you will be directly contributing to the implementation while you lead. A successful candidate will have strong technical ability, scientific vision, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced environment.You will be an integral part of the core robotics team and work with others to implement robot motion planning systems above and beyond the current state-of-the-art in the field.If you are an experienced Applied Science Manager, have a track record of delivering to timelines with high quality, are comfortable providing technical direction, have mentored and grown engineers and are deeply technical and innovative, we want to talk to you.
Data Scientist I
US, WA, Seattle
Data Scientist IAmazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“cloud computing”). With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your demands require them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.The AWS Sales Analytics team uses machine learning, econometrics, and data science to optimize AWS’ sales strategy across various global programs, driving customer engagement, and developing insights across a global organization. We use detailed customer behavior and AWS usage data to predict and understand our customers and their needs and wants from AWS.The AWS Sales Analytics team is looking for a Data Scientist to join our predictive analytics team to work closely with a team of B.I. Engineers and Analysts to develop and automate data models by creating various tools and machine-learning models to answer complex questions and provide insights. The Data Scientist must be comfortable working with large volumes of data and be able to manipulate data using a variety of tools. They must be able to build scalable tools to not only process the data but transform it into actionable information. In addition, the ideal candidate must possess excellent interpersonal skills, strong written communication skills, and be able to provide thought leadership and guidance to the other members across the team.Role Summary:Key Responsibilities include:· Organize and structure large data sets· Work closely with the teams to define the performance indicators· Determine how the key metrics and performance indicators will be calculated, owned, and managed.· Collaborate with colleagues across AWS Sales, Data Scientists, Economists, and the Worldwide Revenue Operations team to build and manage data infrastructure and models in support of predictive research and other scientific experiments· Dive deep to understand data sets and ensure statistical accuracy to support conclusions· Analyze data and present information to support decision making
Applied Science Internship
RO, Iasi
Location: Romania (Lasi & Bucharest)Duration: 4-6 monthsAmazon is a company of builders. A philosophy of ownership carries through everything we do — from the proprietary technologies we create to the new businesses we launch and grow. You’ll find it in every team across our company; from providing Earth’s biggest selection of products to developing ground-breaking software and devices that change entire industries, Amazon embraces invention and progressive thinking. Amazon is continually evolving; it’s a place where motivated employees thrive, and ownership and accountability lead to meaningful results. It’s as simple as this: we pioneer.With every order made and parcel delivered, customer demand at Amazon is growing. And to meet this demand, and keep our world-class service running smoothly, we're growing our teams across Europe. Delivering hundreds of thousands of products to hundreds of countries worldwide, our Operations teams possess a wide range of skills and experience and this include software developers, data engineers, operations research scientists, and more.About these internships:Whatever your background, if you are excited about modeling huge amounts of data and creating state of the art algorithms to solve real world problems, if you have a passion for using machine learning/mathematical optimization to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software, if you enjoy solving operational challenges by using computer simulations, and if you’re motivated by results and driven enough to achieve them, Amazon is a great place to be. Because it’s only by coming up with new ideas and challenging the status quo that we can continue to be the most customer-centric company on Earth, we’re all about flexibility: we expect you to adapt to changes quickly and we encourage you to try new things.Amazon is looking for ambitious and enthusiastic students to join our unique world as interns. An Amazon EU internship will provide you with an unforgettable experience in a fast-paced, dynamic and international environment; it will boost your resume and will provide a superb introduction to our activities.As an intern in Ops Research and modelling, you could join one of the following teams: Supply Chain, Transportation, HR, Employee Relations and more.You will put your analytical and technical skills to the test and roll up your sleeves to complete a project that will contribute to improve the functionality and level of service that teams provides to our customers. This could include:· Analyze and solve business problems at their root, stepping back to understand the broader context· Apply advanced statistics /data mining/ operations research techniques to analyze and make insights from big data (data sets could include: historical production data, volumes, transportation and logistics metrics, simulation/experiment results etc.) across multiple geographies.· Closely collaborate with operations research scientists, data scientists, business analysts, BI teams, developers, economists and more on various models’ (including predictive/prescriptive models) development.· Perform quantitative, economic, and/or numerical analysis of the performance of supply chain systems under uncertainty using statistical and optimization tools to find both exact and heuristic solution strategies for optimization problems.· Create computer simulations to support operational decision-making. Identify areas with potential for improvement and work with internal teams to generate requirements that can realize these improvements.· Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.· Convert statistical output into detailed documents which influence business actionsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decision based on your experience and skills. We value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.#EUInternHiring
Machine Learning Scientist
AU, SA, ADELAIDE
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
Applied Scientist, Alexa AI
US, WA, Seattle
Amazon Alexa AI is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Natural Language Understanding (NLU), Audio Signal Processing, text-to-speech (TTS), and Dialog Management, in order to provide the best-possible experience for our customers.As an Applied Scientist, 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 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.
Senior Applied Scientist, Alexa AI
US, WA, Seattle
Amazon Alexa AI is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Natural Language Understanding (NLU), Audio Signal Processing, text-to-speech (TTS), and Dialog Management, in order to provide the best-possible experience for our customers.As an Senior Applied Scientist, 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 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.
Senior Applied Scientist
US, WA, Seattle
Not many teams aspire to zero. Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com.WW R&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - returns, recommerce, and rentals.Amazon WW R&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop innovative product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.In this role, you would- Use machine learning and analytical techniques to create scalable solutions for business problems.- Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes.- Design, development and evaluation of 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.- Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.- Technically lead and mentor other scientists in team.We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.Amazon is earth’s most customer-centric company and through WW R&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
Data Scientist
UK, BST, Bristol
Excited by using massive amounts of data to create sophisticated security analytics? Does pushing the envelope with user and entity behavior analytics (UEBA) including developing statistical, stochastic and machine learning models for security excite you? Want to help the largest global enterprises operate safely & securely in the cloud at an unprecedented scale?You will enhance real-time proactive and preemptive systems using data driven techniques. The analytic techniques are applied at each stage from detection to response mitigation. This job will challenge you to dive deep and understand the unique challenges in operating this platform at a scale unrivaled in the industry. Our scale provides unique opportunities that simply don’t exist elsewhere, but these opportunities can only be revealed by a scientific thinker with a curious mind, who is committed to improving every single day.This is an opportunity to operate in a truly groundbreaking manner given the sheer scale, breadth, and fast pace of the AWS environment. Data scientists are collaborative and highly determined, working backward from threats to create new and innovative ways to detect, assess and react to malicious activity.Your job is distilling meaningful insights from large volumes of data to address the constantly evolving threat and attack space from sophisticated adversaries. This role will give you an opportunity to use and grow a broad range of skills in data science, analytic development, and information security – all using and creating cloud services in large scale computing environments. Considering the scale and the magnitude of the technical challenge, this role is a great opportunity to make a meaningful contribution to an extremely important area. Operating in the cloud at our scale enables activities that have never before been possible, providing new advantages and opportunities for innovative work.We are hiring technical specialists at the convergence of the four hottest areas in tech: Data Science, Security, Software Development and Cloud Services. Worried that you do not have hands-on experience in all four areas? We are looking for solid base and expertise in two areas - you will grow expertise in the remaining areas to round out your background in all four key areas. Alongside your team, you will work directly with the biggest internal and external Amazon customers – leveraging data and analytics to create innovative ways to work securely in the cloud.
Economist II
US, WA, Seattle
Amazon.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 and friendly work environment. Amazon’s Digital Content and Commerce Services team (DCCS) powers ordering, subscriptions and vendor payments for all Amazon’s digital and subscription businesses including Prime, Amazon Video, Music, Alexa and Kindle. We process billions of digital transactions every year and enable our digital businesses to grow their businesses worldwide. We are seeking an experienced, results-driven economist to join our team and help build our next generation of digital solutions and offerings to delight Amazon customers.DCCS owns key customer facing experiences including content selection, subscriptions, pricing, availability, customer experience etc. 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.Economists will work closely with other research scientists, machine learning experts, and economists globally to design new frameworks that systematically identify low touch machine driven recommendations that propel customer growth while creating a meaningful economic impact for Amazon. 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.The key strategic objectives for this role include:-Provide data-driven guidance and recommendations on strategic initiatives- Identify opportunities/tests that drive product discovery, new customer acquisition 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.
Data Scientist
LU, Luxembourg
Are you a talented and inventive scientist with strong passion about Artificial Intelligence and Predictive Modeling? Would you like to develop Machine-Learning models by playing a key role within EU RME Predictive Analytics team? Our mission is to drive the Predictive Maintenance (PdM) and Spare Parts (SP) programs for Amazon EU Operations that consists of complex automation, sortation, robotic and materials handling systems.As Machine Learning Scientist you will be working with large distributed systems of data and providing predictive maintenance expertise for over 2000 maintenance engineers, managers and administrators by supporting the entire network managed by EU RME, which may include non-EU locations (such as Singapore, Australia and Japan). You will connect with world leaders in your field and you will be tackling ML challenges by carrying out a systematic literature review of Machine Learning methods applied to PdM. The appropriate choice of the ML methods and their implementation will be the key for the success of the PdM and Spare Parts programs.This role requires an individual with strong skills in the area of data science, Machine Learning and statistics. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and outstanding ability in balancing technical leadership with strong business judgment to make the right decisions about model and method choices.Key Areas of Responsibilities:· Provide technical expertise to support team strategies that will take EU RME towards World Class predictive maintenance practices and processes, driving better equipment up-time and lower repair costs with optimized spare parts inventory and placement· Implement an advanced maintenance framework utilizing Machine Learning technologies to drive equipment performance leading to reduced unplanned downtime· Provide technical expertise to support the development of long-term spares management strategies that will ensure spares availability at an optimal level for local sites and reduce the cost of spares· Facilitate the access to data and tools for the larger Reliability Engineering team to drive reliability insights
Applied Science Manager
US, CA, Palo Alto
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. 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. 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.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers.We are seeking an Applied Science Manager who has a solid background in applied Machine Learning and AI, deep passion for building data-driven products; ability to communicate data insights and scientific vision, and has a proven track record of leading both applied scientists and software engineers to execute complex projects and deliver business impacts.In this role, you will:· Lead a group of both applied scientists and software engineers to deliver machine-learning and AI solutions to production.· Advance team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.· Develop science and engineering roadmap, run Sprint/quarter and annual planning, and foster cross-team collaboration to execute complex projects.· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.· Hire and develop top talents, provide technical and career development guidance to both scientists and engineers in the organization.
Applied Scientist, Alexa AI
US, WA, Seattle
Do you want to join Alexa AI -- the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?If your answers to these questions are “yes”, then come join us at the Alexa Artificial Intelligence team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.With the Alexa Artificial Intelligence team, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..You will be expected to:· Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT).· Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints· Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios;· Perform model/data analysis and monitor user-experienced based metrics through online A/B testing;· Research and implement novel machine learning and deep learning algorithms and models.
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