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US, WA, Seattle
What is the most relevant business data for AWS leadership? What are the most important insights in this data? Are we investing enough in our infrastructure, or too much? How much new workloads do our new products drive into AWS? Which initiatives help our customers utilize AWS the most? How do our customers react to changes in prices, purchase options or products?The Central AWS Econ team is dedicated to answering these questions using quantitative, economic and statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and provide insights to executive leaders throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions.This Data Scientist role will develop models and datasets to support projects led by our senior researchers. The successful candidate will be a versatile problem solver who enjoys diving into data. This role is ideal for a data scientist who has strong coding skills. The role requires moving algorithms from prototype to application, optimizing and evaluating alternative technical approaches to the problem. The work will require collaborating with Data Scientists, BIEs and Data Engineers across AWS.Key Responsibilities:· Develop ML models for customer level predictions· Implement new algorithms to improve existing models· Collaborate with data engineers to integrate new data sources into the econ pipeline
US, WA, Seattle
Want to change the way people watch TV? The Prime Video team is shaping the future of digital video entertainment. Our mission is to offer customers the widest selection of digital video content and make it trivially easy for them to enjoy it wherever, whenever, and however they want. Within the Prime Video team, the Title Display Experience team relentlessly obsesses over simplifying a customer's viewing decision by presenting the most accurate and most relevant title information to them.We are looking for a Sr. Data Scientist who is results-oriented, data driven, innovative and passionate at creating new comprehensive customer engagement services/solutions. You’ll work on technologies such as such as SQL, Python, and AWS to build the world’s most innovative customer experience solutions. You will influence product and engineering direction by producing models and analyses that reshape the way we understand movies and TV shows. In partnership with your team, you will be responsible for changing the way our customers discover and choose movies in Prime Video.Creating insightful, scalable and actionable data models requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building data driven statistical and optimization models. This person has thrived and succeeded in delivering high quality insights in a hyper-growth environment where priorities shift fast.
US, WA, Bellevue
In this role you will help lead a large-scale modeling initiative that spans five global organizations and over twenty teams. You will model weather’s impact on business metrics and focus on the integration of how weather impacts Amazon’s network.Your day-to-day will include model and algorithm development, experiment design, and deep dive analysis. You will learn current processes, build data backed solutions, educate diverse stakeholder groups, and audit implementation. You will work closely with our tech team to launch your solutions into production and build the metrics needed to monitor and improve their performance.Amazon’s extensive logistics system is comprised of thousands of fixed infrastructure nodes, with millions of possible connections between them, and dozens of different transportation methods. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements unparalleled. This magnificent challenge is an opportunity to drive lasting impact in the design of one of the world’s most complex logistic systems and improve the experience of millions of customers every day. Come build with us!A successful candidate in this position will be able to; communicate across diverse stakeholders, prioritize competing requests, and quantify decisions made. The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, a strong background in atmospheric science, and a high standard for coding best practices.Amazon offers competitive packages including comprehensive health care, 401(k), restricted stock units, growth potential and a challenging and exciting work environment.Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
US, WA, Seattle
Our vision at Amazon Comprehend Medical is to simplify and advance Natural Language Processing (NLP) in Healthcare. We are building a team of passionate people who are focused on changing the world for the better. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Imaging and Machine Learning (ML). If you want your work to positively impact the lives of millions of people and you’re up for a challenge, let’s talk!We are looking for a passionate, talented, and inventive Senior Applied Scientists who can bring bleeding edge machine learning and NLP techniques into real products solving real problems together with a highly multi-disciplinary team of scientist, engineers, strategic partners, product managers and subject domain experts.
US, FL, Virtual Location - Florida
The AWS Central Economics team is looking for a PhD economist. The ideal candidate will have experience with time-series forecasting.You will learn about cloud products, including compute, storage, and databases. You will work on analytic projects requested by senior leadership. You will get the opportunity to learn new techniques. You will be a part of a team with many experienced economists.
US, VA, Herndon
Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The Amazon ML Solutions Lab team helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. In this role, you will be designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for talented data scientists capable of applying classical ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.The primary responsibilities of this role are to:· Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries· Interact with customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them· Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithmsThis position requires travel of up to 25%.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.This position requires that the candidate selected be a U.S. citizen and hold (or be able to obtain) active Secret security clearance.
US, WA, Seattle
The Amazon Web Services (AWS) Training and Certification (T&C) organization educates customers, partners, and AWS Employees globally on AWS products, solutions, and best practices. We are seeking a talented and experienced Data Scientist to perform data analytics, create forecasting processes to influence business strategies, and analyze customer trends to make recommendations to improve their training & certification journey.As part of the AWS Training and Certification Business Intelligence and Data Analytics team you will analyze data to provide insights using statistical methods and processes. We are looking for someone who is comfortable getting into data and will uncover patterns and performance that can be used to influence business strategies. The right candidate will be passionate about working with large datasets and should be someone who loves to bring data together to answer complex business questions that deepen our understanding of our business drivers. As a Data Scientist within AWS, you will have the exciting opportunity to help analyze and deliver data driven insights that will broaden AWS’s penetration in the cloud computing market.The ideal candidate will have a background in analyzing and deriving insights from data by using SQL (e.g. Redshift), analytics (e.g. R, Python), statistical processes (e.g. machine learning, forecasting, and predictive analytics), and business intelligence tools (e.g. Tableau). A successful candidate should have the technical proficiency to develop code to produce processes that analyze our data and the business proficiency to summarize their findings and report to the AWS Training and Certification leadership team. This role will work closely with Business Intelligence Engineers, Business Analyst, Economists, Program Managers, and AWS T&C Leadership.Responsibilities:· Serve as a key member of the AWS Training & Certification Business Intelligence and Data Analytics team by turning data into actionable insights and providing support for strategic initiatives.· · Conduct analysis of existing metrics and create new metrics that will be shared with the Global Operations Team and executive stakeholders.· · Recommend, develop, and manage machine learning/statistical processes and tools.· · Conducts data analyses with the appropriate statistical approach (regressions, linear and non-linear correlation, entropy, t-test, F-test, etc.)· · Identify needed data for projects and understand underlying structure (distribution, variable independence, outliers, etc.), and develop process to help improve data quality· · Influence the decisions of senior business leaders through effective verbal and written communication and logical reasoning.· · Able to discuss and present data science processes to business leaders and provide support to help with understanding of processes to non-tech individuals.· · Manage numerous requests concurrently and strategically, prioritizing when necessary.· · Drive and support projects that help build AWS into the most customer-centric technology platform
GB, Cambridge
Do you want to work on one of the coolest and most innovative pieces of technology in recent years? Come join us! We're the Text to Speech (TTS) team at Amazon. We build best-in-class TTS solutions and create magical experiences on Amazon's growing portfolio of speech products.We are looking for a passionate, talented, and inventive Applied Scientist with a strong background in Machine/Deep Learning and Software Development to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers. Your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our synthetic voices used by millions of customers every day.As an Applied Scientist on our team you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in speech synthesis. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to build Machine Learning models for their application in speech synthesis.This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.The ideal candidate will have experience with machine learning models and their application in AI systems. We are particularly interested in experience applying natural language processing, deep learning, and reinforcement learning at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.
US, CA, Sunnyvale
At Amazon, we’re working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people that are committed to making a meaningful impact on sustainability. We are looking for a Sustainability Program Manager to join our growing Devices Supply Chain and Operations Sustainability team.The Sustainability Program Manager work cross-functionally across the Devices Operations organization to develop and implement sustainability programs that will bring about measurable operational and environmental benefits. The ideal candidate has a solid understanding of Circular Economy and Sustainable Design principles and the ability to translate into actionable initiatives. The successful candidate will have industry experience (preferably in consumer electronics) leading programs related to energy, resource and waste management as well as have detailed knowledge of product manufacturing, design, development, and/or sourcing. The candidate should be comfortable in managing and interpreting metrics, reporting standards and life cycle assessments.The successful candidate must have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The successful candidate must be well-versed in the concepts of sustainability but also grounded in the operational requirements of supply chain and manufacturing.Key Responsibilities:· Collaborate cross-functionally to efficiently design, implement and measure sustainability programs.· Serve as Subject Matter Expert in product sustainability and circularity; produce and operationalize product sustainability assessments and environmental life cycle assessments;· Develop reports, dashboards and metrics which distill complex data into actionable insights;· Professionally communicate to senior business leaders.
US, WA, Bellevue
Come join the Alexa team, building the speech and language solutions behind Amazon Echo and other Amazon products and services! You will help us invent the future.As a Data Scientist, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Alexa to provide customer great products. This role will be a key member of a Alexa Data Service Science team based in Bellevue, WA. You will work closely with other research scientists, machine learning experts, engineers to design and run experiments, research new algorithms, and find new ways to improve Alexa Data Service products. You will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Our 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 responsibility for this role include:· Define proper output business Metrics, and build input models to identify patterns and drivers of the output.· Drive actions at scale using scientifically-based methods and decision making.· Design and develop complex mathematical, statistical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions· Design experiments, test hypotheses, and build actionable models· Prototype these models by using modeling languages such as R or in software languages such as Python.· Work with software engineering teams to drive scalable, real-time implementations· Utilizing Amazon systems and tools to effectively work with terabytes of data
US, WA, Bellevue
Come join the Alexa team, building the speech and language solutions behind Amazon Echo and other Amazon products and services! You will help us invent the future.As a Senior Data Scientist, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Alexa to provide customer great products. This role will be a key member of a Alexa Data Service Science team based in Bellevue, WA. You will work closely with other research scientists, machine learning experts, engineers to design and run experiments, research new algorithms, and find new ways to improve Alexa Data Service products. You will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Our 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 responsibility for this role include:· Define proper output business Metrics, and build input models to identify patterns and drivers of the output.· Drive actions at scale using scientifically-based methods and decision making.· Design and develop complex mathematical, statistical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions· Design experiments, test hypotheses, and build actionable models· Prototype these models by using modeling languages such as R or in software languages such as Python.· Work with software engineering teams to drive scalable, real-time implementations· Utilizing Amazon systems and tools to effectively work with terabytes of data
IN, KA, Bangalore
Are you interested in applying your background in machine learning to solve key business problems that impact the experience of millions of Amazon customers? Do you like to own and solve complex, ambiguous and hard business problems that impact the growth and profitability of company? If yes, then you may be a great fit to join the Retail Business Services (RBS) Tech group at Amazon.As an Applied Scientist, you will be responsible to design and deploy scalable NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel statistical models or deep learning techniques for text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to create the machine learning models and progressively improve the results over time. You will work closely with engineers, other scientists and product managers to come up with novel solutions for some hard business critical problems.
DE, BE, Berlin
Do you have a passion for diving deep to uncover key insights that drive critical business decisions? If yes, the Core AI team in Berlin is looking for a new colleague with your enthusiasm and talent to join our team. We are looking for an experienced Data Scientist who is curious, self-driven, and passionate about building solutions for millions of customers using the latest hardware and Machine Learning techniques. If you are looking for a role where you can make a major impact, we want to meet you.As a successful data scientist, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. As a member of our team, you will work closely with engineers and other scientists to develop and run probabilistic models for various parts of Amazon’s business. You will collaborate directly with internal customers, economists, and scientists to develop modeling solutions. You will partner with software developers and data engineers to build end-to-end data pipelines and production code and have exposure to leadership as we communicate results and provide scientific guidance. You will analyze large amounts of business data, automate and scale the analysis, and develop metrics that will enable us to provide high quality models for our customers worldwide.The Core AI organization develops research-intense solutions leveraging state-of-the-art ML techniques and drives their adoption across Amazon by partnering with Amazon teams on science-heavy problems and incubating products with high research risk. Our Berlin team is embedded into an active Data Science and ML community with a local presence and representation from various organizations.Responsibilities Include:· Understand business problems and the available data to enable the development of solutions for data-driven decision making· Develop innovative solutions by adapting new modeling techniques and procedures· Write code (Python, Scala, etc.) to analyze data and build statistical models to solve specific business problems· Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support· Communicate verbally and in writing to business customers and leadership teams with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendationsAmazon Science (www.amazon.science) gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
US, WA, Seattle
Prime Video is changing traditional media with an ever-increasing selection of movies, TV shows, Emmy Award winning original content, add-on subscriptions including HBO, and live events like Thursday Night Football. Our architecture operates at exabyte-scale, engineered for reliability, scalability, and performance. Prime Video runs on thousands of device types in over 200 territories worldwide.The Playback Optimization team designs, implements and operates the services and systems responsible for Optimizing and delivering video content to all Prime video customers. Our services and systems are invoked every time our customers click play on the thousands of device types supported by Prime Video in over 240 territories worldwide. We direct gigabits of video data across the Internet every second and ensure that our customers receive the best Optimized playback experience possible.As a Senior applied scientist on our team you will wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle complex problems that span a variety of domains: Machine learning, Artificial intelligence, Natural Language processing, real-time and distributed systems and help us build services and systems from ground up which scale and serve billions of requests per day, with obsessively high reliability and low operational overhead. You will have an opportunity to explore, innovate, invent and simplify various Playback state-of-art Optimization services and algorithms which leverage both custom and Industry proven Machine Learning, Natural Language processing and Artificial Intelligence technologies. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. We experiment a lot and it is a must to learn and be curios. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers.Successful candidates have a background in modern programming languages, distributed system design, service-oriented architecture, and high scalability. Experience in advanced machine learning technologies and Artificial intelligence is a big plus. Equally important is the ability to multi-task, invent, create reliable and maintainable code, and find creative, scalable solutions to difficult problems.You'll work with experienced managers who'll care for you. We'll guide you on your career growth path and there's no shortage of technical challenges.We're building a new and ground-breaking technology from the ground-up to deliver spectacular Optimized video Playback experience to our customers for big live events such as English Premier League and the US Open.
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Research Scientist ILocation: Seattle, WAPosition Responsibilities:Interact with various software and business groups to develop an understanding of their business requirements and operational processes. Utilize acquired knowledge and business judgment to build decision-supporting and operational tools to improve the bottom line. Build quantitative mathematical models to represent a wide range of supply chain, transportation and logistics systems. Implement these models and tools through the use of modeling languages and engineering code in software languages such as Java, C++, C# or C. Gather required data for analysis and mathematical model building by writing ad-hoc scripts and database queries. Perform quantitative, economic, and numerical performance analyses of these systems under uncertainty using statistical and optimization tools. Create computer simulations to support operational decision-making. Identify areas with potential for improvement and work with internal teams to generate requirements to realize improvements. Design optimal or near optimal solution methodologies to be used by in-house decision support tools and software. Create software prototypes to verify and validate the devised solutions methodologies. Integrate prototypes into production systems using standard software development tools and methodologies.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, WA, Seattle
Amazon Care is looking for a Senior Research Scientist to join an exciting new project team. We are an innovative, cross-platform, customer-obsessed team, working on big-bets in an innovative environment. Our organization rewards intellectual curiosity while maintaining the direct to market product focus. Our mission is to invent and simplify large-scale solutions and bring the future to Amazon customers.This role conducts UX research and data synthesis across a growing product & clinical health team. You’ll work cross-functionally and collaborate with product managers, designers, clinicians and engineering teams. Proactively ingest research data, organize and synthesize reports, and strategize using programming language such as R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C to create insights that translate into new product roadmap initiatives and service improvements.What you will do· Help UX and product team leadership identify the right research questions to ask, creating long-term research roadmaps and opportunity frameworks that align to and inform business strategy and goals.· Own, Evolve & extend the existing VOC program to connect new sources of data while extending the impact of the program across internal audiences of business, product, UX and clinicians.· Define and execute (and, as necessary, invent) research methods appropriate to the questions at hand, including but not limited to surveys, A-B tests/experiments, and some remote testing.· Synthesize a wide range of primary and secondary data types to perform quick and thorough analyses. Leading insightful, and actionable findings using predictive modeling, machine learning, forecasting or statistical modeling problems.· Successfully persuade decision makers at all levels of the organization to take aligned action on research findings – inspire them and help them internalize opportunities to delight customers and differentiate our service.· Translate insights into measurable customer experience outcomes aligned to business goals.· Own and synthesize insights for MBR and QBR reporting.· Own the insights and UX data generated by emerging payer audience.· Work with a wide range of business partners, particularly in analytics and product management, to develop innovative end-to-end solutions that address top outcomes, and iteratively design and test these solutions until outcomes are achieved or hypotheses are proven wrong.As a Senior Research Scientist, you will be part of a greenfield effort to build a truly innovative product from the ground up. You will have a deep understanding of user research methods and best practices, along with a creative and pragmatic approach on how to connect new and existing data sources, synthesize and report them. You will design and implement research activities that help us gain valuable insights into our customers and inform product direction, concepts and designs. To succeed in this role, you genuinely be a self-starter, able to thrive in a fast-paced start-up like environment with considerable product ambiguity, welcoming the opportunity to extend your influence to the entire team.You will manage a VOC (Voice of the Customer) research program that will grow in both intake, synthesis and reporting impact. You will work with other UXR team members to synthesize data from both clinician and customer insights designing and developing system prototypes in simulation. You have the ability to work efficiently and routinely deliver the right things with limited guidance. Your work will be focused on medium-to-large goals and research projects that span multiple customer segments and/or teams. Once completed, your research will be able to distill clear customer needs from large, diverse data sets (e.g., behavioral/telemetry, survey, qualitative interviews/usability, etc.) to provide inputs that solve complex business problems. You will own the delivery of customer insights for multiple teams at the product level. You will proactively identify and inspect existing mechanisms for sharing user insights to increase their adoption and measurability. You will ensure your program stays aligned with organizational goals and you should have fun in the process while building a world class consumer healthcare product.Responsibilities:· Employ the best research method(s) based on research questions, timeline, and resourcing· Must illustrate skills in navigating topics and sensitive data environments including PHI· Ability to develop metrics that appropriately reflect the user experience quality of a feature, product or system· Ability to Work closely with product, UX design, engineering, marketing, and sales teams to identify research topics and critical research questions, create detailed plans and build a research roadmap; communicate and refresh on a regular basis to ensure impact and relevancy· Define and execute a comprehensive research plan, using the best method or mix of quantitative and qualitative methods based on research questions, timeline, and resourcing.· Perform hands-on data analysis and modeling using a mathematical programming language such as Python, Java, C++, C#, or C with very large data sets to develop insights into different aspects of our business and user experience.· Communicate results and opportunities in clear, concise, and compelling ways to all levels of management· Drive impact, as measured by changes to the product design and development roadmap· Understand different data types from different sources and perform quick but thorough data analysis in order to create insightful and actionable findings· Create a deep understanding and empathy for our target customers through primary field research, behavioral analysis, and/or secondary research· Act as a representative within the larger Amazon user researcher community. Collect and synthesize useful research from across the organization, bringing insights back to your team· Eagerness to continually learn, grow and improve the craft of UX research
US, NY, New York
Are you interested in innovating to deliver a world-class level of service to Amazon’s selling partners? The Selling Partner Paid Services (SPPS) team seeks to improve the customer experience on Amazon.com by working directly with sellers on Amazon to improve value, selection and convenience across their business. A new and growing team, our team invents and innovates across technology, processes and people to grow the program, grow our Selling partners’ businesses, improve Selling Partner acquisition, retention, engagement and satisfaction and enable scalable global solutions.The Paid Services Data Science team is looking for a data scientist who will work closely with multiple business stakeholders to transform our business by automating recommendations and decision-making by creating various tools and machine-learning models to answer complex business questions that provide insights to influence customer behavior. 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 Senior Data Scientist must possess excellent interpersonal skills and be able to provide thought leadership and guidance to the other members within the team.The role’s key responsibilities will include:· Drive deep understanding of Selling Partner segmentation, behavior and satisfaction, Amazon operational performance and impact on Amazon customer experience by identifying, developing, and executing analyses, machine learning capabilities and models.· Navigate ambiguity; identify and tackle strategic opportunities and problems we don’t even know exist or have not fully defined through data.· Mentor other team members who are looking to improve their understanding of machine learning and data science· Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies· Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear· Build models using one or more of the following: statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.· Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.· Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.
LU, Luxembourg
Are you passionate about solving data problems with global impact? Do you like rolling up your sleeves and getting stuck into solving complex problems? Does working with a fast-paced scaling global team across countries and cultures sound exciting to you? If so, we're looking for a Data Science and Analytics Manager to create solutions that fundamentally solve problems and help our Sellers grow their businesses with Amazon.Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by launching new features of our model, prioritizing analysis and data deep dives and developing novel means to solve complex problems. Invention has become second nature at Amazon, and the pace of innovation is only accelerating. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new products, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.Responsibilities include:· Hire and develop a new growing team with data science, business intelligence and business analytics expertise· Establish the vision and data roadmap for the team, prioritizing the most impactful analysis, and guiding the team in solving ambiguous and complex problems· Lead decisions with data and insights, set analytics goals, and identify the right levers to achieve those goals· Collaborate with worldwide teams and stakeholders to ensure we advocate a culture of collaboration, knowledge sharing and minimize duplication· Lead the team to achieve reusable data sets and/or models that can be productized or used by other teams, identifying and setting the right levers to achieve those goals· Uncover new opportunities to use machine learning to establish a model that will enhance and personalize our offering
US, MA, Cambridge
The Alexa Translations team is looking for an experienced Applied Science Manager to build industry-leading technologies in speech translation. Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot and Fire TV. Our team's mission is to enable Alexa to break down language barriers for our customers.As an Applied Science Manager, you will lead a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in speech translation. You will work in a hybrid, fast-paced organization where scientists, engineers and product managers work together to build novel customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.We are looking for a leader with strong technical experience, demonstrated progression of management scope, and a passion for managing Science talent in a fast-paced environment. In addition to technical depth, you must possess exceptional project management and communication skills, and understand how to coach a team. As a Science leader you will:· Manage and mentor other scientists and engineers, review and guide their work, help develop roadmaps for the team and provide coaching for career development· Contribute directly to our growth by hiring smart and motivated Scientists and managers to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.· Work closely with other teams across Alexa to deliver platform features that require cross-team leadership.· Represent your business and operations to the highest level of leadership within Amazon.If you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.
US, MA, Boston
Amazon Elastic File System (EFS) https://aws.amazon.com/efs/ is looking for a Data Scientist to dive deep into the vast data generated by a rapidly growing AWS storage service and applying current data analysis methods to produce insights that will improve customer experience, operational effectiveness, and business value. As a member of the Amazon EFS team, you’ll work closely with outstanding engineers and product managers to work hard, have fun, and create the future of cloud storage.Building a High-Performing & Inclusive Team CultureYou should be passionate about working with a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.Work/Life BalanceEFS values work-life balance. On normal days, our entire team is co-located in the Boston office, but we’re also flexible when people occasionally need to work from home. We generally keep core available hours from 10am to 4pm. Some of the team is available earlier and the rest of us work a little later.Energizing and Interesting Technical ProblemsYou will work in partnership with engineers on the team to build and operate large scale systems that move and transform customer volume data and accelerate access to their data. You’ll be working to provide solutions to both internal and external customers and engage deeply with other teams within EFS, S3, EC2, and many other services. It’s humbling and energizing to provide data movement solutions to customers at AWS scale.Mentorship & Career GrowthWe’re committed to the growth and development of every member of EFS, and that includes our engineers. You will have the opportunity to contribute to the culture and direction of the entire EFS org and deliver initiatives that will improve the life of all of our teams.As a Data Scientist on EFS you will be curious and dive deep into performance, business, and operational metrics. You’re excited about designing solutions that scale while also engaging individual customers in understanding their applications. You’re able to think about business opportunities, operational issues, and architectural diagrams in the course of a single conversation. You’re looking for a team of bright, capable engineers to work with directly in implementing your vision while also collaborating with other data scientists across AWS.