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Shay Artzi


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US, CA, East Palo Alto
The Machine Learning Product Teams are responsible for identifying customer needs and building products and services to meet those needs. As a member of the AWS team, you will work side-by-side with the Product Teams to continue to build the products and services designed with fairness and explainability in mind.As a Scientist on this team, you will:· help define the strategies, priorities and metrics of the team for fairness and explainability and and execute for delivery,· help build and develop the AWS team, as needed,· understand in depth the technical and scientific issues related to machine learning fairness, and· serve as liaison to internal and external stakeholders.
US, WA, Seattle
The Tax Technology team is seeking an experienced Senior Data Scientist excited by the opportunity to help build out a world-class Data organization to drive the transformation of Amazon’s massive, petabyte-scale datasets into useful information through data visualization, data modeling, and machine learning to help Amazon Finance meet the growing challenge of global taxation.As a Senior Data Scientist, you will discover and define problems and apply quantitative methods to extract insights and drive strategy across Amazon Tax. You will work with cutting edge technologies that enable the extraction of insights from big data using statistical modeling and machine learning methodologies. You will play an active role in translating business and functional requirements into KPIs and concrete deliverables, working closely with product and software development teams to put data solutions into production.Roles and Responsibilities:· Drive business changes to improve organizational performance for strategic initiatives through data insights· Actively solicit and deeply understand stakeholders' business needs and propose scalable data solutions· Utilize Amazon systems and tools to gather and manipulate data· Identify opportunities to build and implement statistical modeling or machine learning to extract insights from petabyte-scale datasets· Partner with Product Managers to understand customer data analysis needs and shape product capabilities· Recruit and train data scientists, business intelligence engineers, and data analysts
US, WA, Seattle
Amazon Web Services is a secure cloud services platform, offering compute power, database storage, content delivery, and other functionality to help businesses scale and grow. Millions of customers currently leverage our cloud products and solutions to build sophisticated applications with increased flexibility, scalability, and reliability. AWS isn’t a start-up, but that doesn’t stop us from acting like one. We set out every day to innovate and disrupt the status quo. We pursue unexpected paths and try to see things differently. We don’t just sit back and watch the world change; we’re the ones changing it. And we’re on the hunt for curious and inventive builders who want to join a company where every day is full of challenging and meaningful work.We’re looking for an experience global leader to build, lead, and develop AWS’s People Analytics program. This is a full-stack analytics program that includes our data engineering, business intelligence, and data science components. The role will work at the intersection of business performance and people performance, and will 1) build a global self-service analytics strategy for AWS People Analytics 2) build and support the underlying data architecture and platforms to enable self-service for reporting but also a growing organization of scientists 3) build and drive the strategy of surfacing data and insights directly to the business 4) dive deep on important scientific research to support the AWS HR Operating plan. The team size in the near term (2021) will likely be around 8 – 9 team members and it will be the leader’s role to build the team, drive operational excellence, and deliver measurable business impact. The role requires a true generalist skillset across data science, data, engineering, and business intelligence and a super power in at least one of those areas. This is definitely a builder role not just in terms of product but also in terms of strategy, process, and execution and the leader will need be comfortable getting into the weeds and being hands-on with the data.What this role can offer to you is the opportunity to build, the lead and develop a sizable team, to innovate in an area of analytics that still has tons of greenspace, and to work in an organization hungry to make a positive difference for the business, employees, and managers through people data.
US, NY, New York
Amazon has the world’s richest collection of e-commerce data: Hundreds of millions of customers and products, billions of transactions, petabytes of data. We need your skills to take advantage of it in order to optimize our operations, with the end goal of optimizing the experience of our customers. A core part of the operations is forecasting: We forecast the demand of tens of millions of products up to a year into the future. The forecasts are used to automatically order hundreds of millions worth of inventory weekly, to establish labor plans for over hundreds of warehouses, and to predict the company’s financial performance.Do you want to be involved in learning predictive models from huge volumes of past data such as customer transactions and interactions, characteristics of products and their relations, prices, and promotions? Are you interested in using Deep Learning, Reinforcement Learning and cutting edge ML techniques to optimize the supply chain? Do you want to develop infinitely-scalable algorithms for machine learning on the cloud that optimize Amazon’s systems using cutting edge quantitative techniques? Do you want to see your work have a huge impact to company’s results?The Amazon Forecasting team seeks a Senior Science Manager with strong leadership and communication skills to join our team. You will lead a team of Machine Learning scientists, statisticians, and data scientists to help us discover and define problems, and apply quantitative solutions to problems to impact the core business of Amazon. You will be working with cutting edge technologies that enable big data and parallelizable algorithms. You will play an active role in translating business and functional requirements into concrete deliverables and working closely with the software development team to put solutions into production.Responsibilities• Apply business judgement to identify opportunities and develop science strategies• Work collaboratively and effectively with engineering and business partners to build algorithms and models for demand forecasting• Lead a team of talented individuals (PhD or MS in Statistics or Machine Learning)• Hire and grow junior science leaders• Influence, collaborate, and communicate effectively with other engineering, science, and business leaders• Communicate scientific solution and insights effectively to a non-scientific audience
US, WA, Seattle
Are you passionate about conducting research to drive real behavioral change for front line employees? Would you love to see your research in practice, impacting nearly a million Amazonians globally and improving the employee experience? If so, you should consider joining Organizational Research and Measurement (ORM)! Our goal is to be best and most diverse workforce in the world. ORM uses science, research and technology to optimize employee experience and performance across the full employee lifecycle, from first contact through exit.We use survey research, market research, machine learning, and causal modeling to understand business dynamics, drive behavioral change, support evidence-based decision-making, and help develop innovative, intelligent products that Attract, Hire, Retain, Grow, and Gracefully Exit all employees in WWConsumer. We are looking for someone with a strong business acumen and who is a multi-disciplinary, experienced researcher/methodologist who can expertly navigate complex, ambiguous business challenges by asking the right questions, knowing what methodologies to use (and why), efficiently analyzing data, and communicating results to multiple audiences (e.g., technical peers, functional teams, business leaders). The ideal candidate will have a strong bias for action, effective communication skills (writing, interpersonal, public), deep expertise across all facets of research fundamentals (research design, measurement, statistics), the drive to deliver high quality results quickly, and the ability to adapt to ever-evolving work environments and business priorities.Major responsibilities will include:- Lead research initiatives to effectively measure and strengthen Amazon’s organizational culture as it relates to safety.- Lead experimental and quasi-experimental research to measure the impact of various initiatives, and influence of processes and policies on Amazon's safety culture and other safety outcomes.- Collaborate with a cross-functional team that has expertise in social science, machine learning, econometrics, psychometrics, natural language processing, forecasting, optimization, business intelligence, analytics, and programs.- Query from multiple data sources, data cleaning and exploration, and advanced statistical analysis.· Write high-quality, evidence-based documents that help provide insights to business leaders and gain buy-in.· Serve as a subject matter expert on a wide variety of topics related to research design, measurement, and analysis.
US, MN, Virtual Location - Minnesota
Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied econometricians in the trade.Amazon’s High Value Message (HVM) Analytics team (a part of Customer Behavior Analytics) is looking for an Economist to join our efforts to build the next generation of analytics systems at Amazon. The team uses a combination of econometrics, machine learning and data science to build scalable solutions to measure the impact of marketing and program investments on customer perceptions.The Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience.Economists should have proficiency in one or more of the following areas:· Causal modeling (e.g., using regression, propensity matching)· Experimental design· Prediction and forecasting· Structural model design and estimationEconomists work on a mixture of large-scale system design and theoretical economic and statistical problems in a fast-paced environment where creativity, speed, and careful work matter.
US, WA, Seattle
Amazon.com’s Customer Trust and Partner Support (CTPS) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. CTPS safeguards every financial transaction across all Amazon sites. As such, CTPS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. CTPS organization is looking for a Sr.Data Scientist for its Forecasting and Planning Research team. The team is being grown to provide insights about its CTPS planning and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of CTPS operations.As a DS-III, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you are an effective communicator capable of influencing and driving major decisions through data-driven insights. This is a high impact role with goals that directly impacts the bottom line of the business.Responsibilities:· Use time series/ML forecasting techniques to forecast CTPS investigations for improved long term and short term capacity planning.· Employ the appropriate algorithms to discover patterns of risks, abuse and help reduce bad debt· Design experiments, test hypotheses, and build actionable models to optimize CTPS operations· Solve analytical problems, and effectively communicate methodologies and results· Build predict models to forecast risks for product launches and operations and help predict workflow and capacity requirements for CTPS operations· Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies· Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
CA, BC, Vancouver
The Economic Technology team (EconTech) is looking for an Applied Scientist to build Reinforcement Learning solutions to solve economic problems at scale. EconTech uses Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop statistical models and algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building disruptive solutions using cutting-edge technology to solve some of the toughest business problems at Amazon.You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists, economists, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As an Applied Scientist, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you're interested in learning; and you acquire skills and expertise as needed.
US, AZ, Tempe
Our team is passionate about Brands who sell on Amazon - we help them grow their businesses, build their story, and serve their customers. How do we do this? Data! Help us serve this valuable data to our Brands in digestible ways so they can run their businesses more effectively.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.Please visit https://www.amazon.science for more information.We are looking for a customer obsessed Applied Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the e-commerce domain. As a member of our team you will develop and evaluate machine learning models using large data-sets and cloud services to drive the growth of Brand owners on Amazon. Working closely with best-in-class engineers you will have the opportunity to research and implement novel ML and statistical approaches, apply a variety of machine learning algorithms, including deep learning, and work on one of the world's largest data sets to influence the long term evolution of our science roadmap.
US, NY, New York
Help AWS Build the Future!Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
US, CA, Palo Alto
Amazon is investing heavily in building a customer centric, world class advertising business across its many unique audio, video, and display surfaces. We are looking for an Applied Scientist who has a deep passion for building machine-learning solutions in our advertising decision system. In this role, you will be on the cutting edge of developing monetization solutions for Live TV, Connected TV and streaming Audio. These are nascent, high growth areas, where advertising monetization is an important, fully integrated part of the core strategy for each business.As an Applied Scientist, you will be tasked with leading innovations in machine learning algorithms to deliver ads across platforms influencing product features and architectural choices for decision making systems. You will need to work with data scientists to invent elegant metrics and associated measurement models, and develop algorithms that help advertisers test and learn the impact of advertising strategies across channels on these metrics while ensuring a great customer experience.Key responsibilities:· Rapidly design, prototype and test machine learning algorithms for optimizing advertising reach, frequency and return on advertising spend· Build systems that extract and process volumes of disparate data using a variety of econometric and machine learning approaches. These systems should be designed to scale with exponential growth in data and run continuously.· Leverage knowledge of advanced software system and algorithm development to build our measurement and optimization engine.· Contribute intellectual property through patent generation.· Functionally decompose complex problems into simple, straight-forward solutions.· Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.
US, WA, Seattle
Do you want to create the greatest possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. The Robotics AI team at Amazon is building high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans, at Amazon scale. Amazon's Robotics AI team invents and scales AI systems for robotics in fulfillment. At Robotics AI, our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build the intelligence that feeds itself.We hire and develop subject matter experts in AI with a focus on computer vision, machine learning, deep learning, control, navigation, and planning. We target high-impact algorithmic unlocks in topics such as scene and activity understanding, simultaneous localization and mapping, closed-loop control, semi-supervised and active learning--all of which have high-value impact for our current and future fulfillment networks.If you are an experienced and hands-on Senior Applied Scientist, have a track record of delivering to timelines with high quality, are deeply technical and innovative, we want to talk to you. We are seeking a seasoned Senior Applied Scientist to work in our core robotics team that is currently developing a state-of-the-art AI-based autonomy stack. You will be closely integrated with the research and development of an advanced robotic system, both developing and optimizing features. You will work with other world-leading scientists to build and deliver world's most scalable robotics systems. You will be working together from ideation-to-production using tools such as CV deep learning (instance segmentation, pose estimation, activity understanding), CV geometry, active learning, reinforcement learning, perception, multi-robot systems planning, multi-agent path finding.You will help guide and mentor our team of applied scientists and engineers. In this role, you will be expected to help define the direction for AI-research, algorithms and strategies. This will include providing guidance on system architecture and algorithm selection or design. This is a senior role where you will be directly contributing to implementation while you lead. A successful candidate will have excellent technical ability, scientific vision, project management skills, great communication skills, and a motivation to achieve results in a collaborative team environment.
US, NY, New York
Help AWS Build the Future!Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
US, AZ, Tempe
Our team is passionate about Brands who sell on Amazon - we help them grow their businesses, build their story, and serve their customers. How do we do this? Data! Help us serve this valuable data to our Brands in digestible ways so they can run their businesses more effectively.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.Please visit https://www.amazon.science for more information.We are looking for a customer obsessed Data Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the e-commerce domain. As a member of our team you will develop and evaluate machine learning models using large data-sets and cloud services to drive the growth of Brand owners on Amazon. Working closely with best-in-class engineers you will have the opportunity to apply a variety of machine learning algorithms, including deep learning, and work on one of the world's largest data sets to influence the long term evolution of our science and recommendation roadmap.
US, WA, Seattle
The YETI team harnesses financial analytics, science, and technology to crack Consumer Finance’s toughest challenges and power smart decision-making throughout the organization. We are data leaders who deliver today’s actionable financial analyses and tomorrow’s durable frameworks and software.We are looking for the next outstanding data scientist to join our interdisciplinary team of analysts, data scientists, economists, and engineers. We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. Our problems include anomaly and trend-break detection, algorithmically identifying growth drivers, financial forecasting at Amazon scale, and more.The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned analysts, scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.
US, CA, San Francisco
We are looking for a passionate and talented Senior Scientist who will collaborate with other scientists and engineers to leverage machine learning methods and algorithms for the modeling and analysis of data.You'll design and run experiments, research new algorithms, and find new ways of optimizing customer experience. Besides theoretical analysis and innovation, you will work closely with talented engineers to put your algorithms and models into practice. Your work will directly impact the trust customers place in Amazon.You are the ideal candidate if you are passionate about delivering experiences that delight customers and creating solutions that are robust. You thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience to creating reliable, scalable, and high performance products. Your strong communication skills enable you to work effectively with both business and technical partners. You have hands-on experience making the right decisions about technology, models and methodology choices. You strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof.Responsibilities include:· Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with scientists, engineers, product managers and business stakeholders to design and implement software solutions· Use machine learning best practices to ensure a high standard of quality for all of the team deliverables
IN, TS, Hyderabad
Amazon strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated, and friendly work environment.The FinAuto Anomaly Detection team, part of Finance Automation Org focuses on building application with machine learning models to identify and prevent theft, fraud, abusive and wasteful financial transactions across the company. As a Data Scientist in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the development and business stakeholders through a combination of data mining techniques as well as statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.Major responsibilities:· Understand the business reality and discover actionable insights from large volumes of data.· Develop statistical and machine learning models to identify theft, fraud, abusive, or wasteful transactions.· Innovate by adapting new modeling techniques and procedures· Use code (Python, SQL, etc.) to analyze data and build statistical and machine learning models and algorithms.· Identify and prevent theft, fraud, abusive and wasteful transactions.· Partner with developers and business teams to test your models in production.
CN, 31, Shanghai
Economist – is a new role in the AWS GCR SSOE. The goal is to provide predictive analytics and customer insights, so that we can better support GTM strategy and sales overage to GCR customers. We are looking for a results-driven Economist to help build our technical economics capability in the GCR. He/She will own key inputs over customer coverage, sales productivity, sales forecast and customer analytics. He/She will work closely with global economist team, data scientists to design new frameworks that systematically identify low touch machine driven recommendations that propel customer growth while creating a meaningful economic impact for AWS.The key strategic objectives for this role include:· Provide data-driven guidance and recommendations on strategic questions posed by the GCR leadership.· Design and analysis of account coverage experiments and define and analyze success metrics across sales coverage optimization, pricing and go-to-market programs.· Identify opportunities/tests that drive product discovery, new customer acquisition or usage 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.· While the scope will be focused on GCR, the economist will also partner with economists in the US team and think of projects with Global scope. Functionally decompose complex problems into simple, straight-forward solutions.
US, WA, Seattle
WFS (Workforce Staffing) Marketing is seeking an experienced and innovative Marketing Analytics Data Scientist to help shape the future of WFS Marketing. WFS is responsible for the attraction and hiring of the hourly operations workforce. In 2019 we hired over 700k hourly associates in North America and the EU, and are forecasted to deliver 1M+ hires in 2020.Are you motivated by building teams, solving tough problems, business-focused and have a passion for Marketing? The successful candidate will be a self-starter, comfortable with ambiguity, have an affinity for building from scratch, demonstrate strong attention to detail, and have the ability to work in a fast-paced, complex and ever-changing environment.The Marketing Data Scientist is highly capable and highly curious about blending data science, economics, and operations research across internal and external data sources to tell a compelling story of market risk and what we can do about it. You will wrangle data across multiple data sources, apply the right machine learning models, and visualize insights for senior operations and business partners. You will collaborate closely as part of a blended science-based product team blending research, data engineering, visual analytics, and product and program capabilities.Key Responsibilities· Develop, enhance, and maintain marketing measurement methodology to optimize the Media strategy, including A/B testing, multi-touch attribution, and media mix modeling.· Contributes to product features like offers, personalization and recommendation by analyzing complex data sets and developing algorithms to produce results that increase customer engagement· Deliver action-oriented insights to further optimize the marketing strategy, through the development of Multi-Channel Attribution methodologies and Media Mix Modeling.· Create innovative, sophisticated analytic models that address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability)· Maintain up-to-date knowledge on industry trends, emerging technologies, and new methodologies for utilization in finding innovative ways to perform data capture and derive valuable insights.· Experience working in an environment with legacy systems with the ability to understand the constraints and opportunities legacy systems will present while integrating a modern MarTech/AdTech stack· Understand The Company's MarTech stack, including the technical systems, operational and marketing processes that create user and business value, in order to clearly communicate and drive the desired outcome· Identify valuable data sources and automate collection processes, undertake preprocessing of structured and unstructured data, and analyze large amounts of information to discover trends and patternsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Seattle
The Alexa for Business (A4B) team is building new capabilities into Alexa that help professionals be more productive at work. In addition to teaching Alexa new things, we provide tools that administrators need to manage Alexa at scale across a large organization. These new capabilities are unlocking a whole new set of use cases for Alexa, from the Office to Hotel Rooms, Restaurants and even sports stadiums. Come join us and help us use the power of voice computing to solve completely new challenges!We are looking for passionate data scientists who are excited to solve challenging problems in voice experience modeling as well as help us launch a greenfield initiative in a new domain using the latest ML techniques. As a data scientist on A4B team, you will be developing next-generation voice recognition models products using state of the art machine learning (ML) models with a world class engineering team. You will also work as the leader in experimentation from statistical perspective and heavily influence business decisions.As a member of the A4B organization, you will spend your time as a hands-on machine learning practitioner and an experimentation leader. You will play a key role on the team, building machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of A4B customers worldwide.To be successful in this role, you must have a passion for data, efficiency, and accuracy. Specifically, you will· Be the single-threaded leader for all things Data Science for A4B, including (a) shaping the Data Science vision for the business, (b) proposing innovative Think Big ideas that will grow the business and getting them prioritized via planning process, and (c) executing on the Science roadmap.· Build new voice experiences for A4B· Develop and automate metrics and data visualizations that provide insights to the broader organization.· Design and build green field ML models (in partnership with the Product Management and Software Engineering teams) to solve business problems as part of new initiatives in new domains that we are investing in· Be an active contributor in terms of A4B strategic planning, business direction, insight generation, etc.· Regularly share findings and insights, both verbally and written, with the leadership team and in Town Hall settings with the entire org.