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US, CA, Sunnyvale
MULTIPLE POSITIONS AVAILABLE in Sunnyvale, CA for Amazon.com Services, LLC:1. Participate in the design, development, evaluation, deployment and updating of data driven models and analytical solutions for machine learning and/or natural language applications.2. 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.3. Routinely build and deploy ML models on available data.4. Research and implement novel ML and statistical approaches to add value to the Business.5. Mentor junior engineers and scientists.#0000
US, WA, Seattle
This Senior Research Scientist & Strategist role is on a central strategy team supporting Global Corporate Affairs. The individual selected for this position will create and execute numerous high-impact projects related to global strategy development. The work will challenge you to be resourceful, think big while staying connected to the details, translate data-driven insights into strategic recommendations, and embrace a high degree of change and ambiguity. The scope and scale of what we strive to achieve is immense, but it’s also meaningful and energizing.Role responsibilities:· Independently (and in partnership with internal stakeholders) develop, propose, and execute research projects that provide actionable insights to our many global stakeholders· Manage and expand our partnerships with internal research teams and external research agencies with whom we partner· Connect findings across research projects (primary and secondary) to generate overarching insights· Communicate data-driven insights and recommendations through presentations, papers, and other internal communication channels· Provide consultation and create trainings on research fundamentals/best practices, survey design, and developing appropriate KPIs for teams across the organization** Location is open to Virigina, DC, WA, NY, CA, MA**
US, WA, Seattle
The Alexa Shopping team is looking for Applied Scientists to build the next generation of shopping assistants.As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new natural language, search, and machine learning technologies for voice shopping. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as publications and presentations at top scientific conferences.The ideal candidates have deep expertise in one or several of the following fields: Information Retrieval, Web search, Web data mining, Machine Learning, Natural Language Processing, Artificial Intelligence. An ideal candidate shows a bias for action and has a strong understanding of empirical methods. The ability to write clearly and speak convincingly as evidenced through participation in academic conferences and service in the scientific community are a must.Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
US, WA, Seattle
Do you want to influence, design, and build tools that solve Amazon-scale, world-class analytical problems? Are you passionate about Big Data, machine learning, and econometrics? The Economic Trends and Insights (YETI) team is building and scaling an Automated Insights tool to spread data science across the Finance organization and turn Big Data into big business insights.As a Data Scientist on the YETI team, you design and build algorithms and tools to solve the biggest problems across the Consumer Finance organization. From anomaly and trend break detection, to causal inference, to forecasting - you turn complex problems into simple solutions used by technical and non-technical users. You are customer obsessed and enjoy diving deep into data to uncover insights, then partner with software developers and economists to scale your insights across all of Amazon. You treat everything like an experiment, and are able to look around corners to test assumptions and find the non-intuitive answers lurking beneath the surface.As part of the YETI team, you will:· Design, test, and build algorithmic solutions into a production Automated Insight software tool· Collaborate with leading economists and scientists to create scalable solutions to problems including trend break detection, causal inference, and automated root cause analysis· Partner with internal customers to deep dive anomalous trends to generate high impact insights
US, TN, Nashville
The Workforce Staffing team is responsible for our hourly workforce: Who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? In 2019, WFS hired hundred of thousands of hourly associates across NA and EU and will receive over millions of job applications for employment. This role is part of the Workforce Intelligence Team, tasked acquiring, modeling and visualizing all the data required to report out on performance metrics such as fill rates and funnel statistics, and forecasting hiring volumes to predict hiring risks and to support internal capacity planning.This role will be responsible for challenging the status quo by analyzing and identifying factors that predict and forecast success and failure in Amazon's current and future labor markets. You will own the analysis across multiple data sources to predict hiring risk before it occurs. The ideal candidate will possess strong analytical and technical expertise to build analytic solutions to drive business improvements at scale.Key Responsibilities- Identify key market and company factors that introduce risk to meeting labor orders across our full time and part time hourly associate populations- Evaluate effectiveness and forecast ROI on key decisions to increase Amazon's employment value proposition- Build models that improve hiring funnel efficiency at scale- Influence key business decisions in potentially adjusting labor plans, shift structures, compensation and/or benefits, and other factors to increase Amazon's appeal across a diverse workforce- Build predictive models to anticipate labor order volumes and fluctuations before they occur
US, TN, Nashville
The Workforce Staffing team is responsible for our hourly workforce: Who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? In 2019, WFS hired hundred of thousands of hourly associates across NA and EU and will receive over millions of job applications for employment. This role is part of the Workforce Intelligence Team, tasked acquiring, modeling and visualizing all the data required to report out on performance metrics such as fill rates and funnel statistics, and forecasting hiring volumes to predict hiring risks and to support internal capacity planning.This role will be responsible for challenging the status quo by analyzing and identifying factors that predict and forecast success and failure in Amazon's current and future labor markets. You will own the analysis across multiple data sources to predict hiring risk before it occurs. The ideal candidate will possess strong analytical and technical expertise to build analytic solutions to drive business improvements at scale.Key Responsibilities- Identify key market and company factors that introduce risk to meeting labor orders across our full time and part time hourly associate populations- Evaluate effectiveness and forecast ROI on key decisions to increase Amazon's employment value proposition- Build models that improve hiring funnel efficiency at scale- Influence key business decisions in potentially adjusting labor plans, shift structures, compensation and/or benefits, and other factors to increase Amazon's appeal across a diverse workforce- Build predictive models to anticipate labor order volumes and fluctuations before they occur
US, NY, New York
Amazon’s Advertising Audience and Media Insights team (AMI) is looking for a motivated and experienced Applied Science Manager to own and lead a growing science team within our org. Our team owns the product, science, technology and deployment roadmap for advanced analytics and media planning products across our Insights and Performance Team. Analytics and media planning is core to Amazon’s growth, as it helps our suppliers drive awareness, consideration, and purchase of their products by hundreds of millions of consumers around the world, and generates revenue which helps us lower prices and invest in improvements to our customer experience. We are a highly motivated, collaborative and fun-loving team 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.You are the single threaded owner of the Media Insights Science program. You are customer obsessed and have sharp business acumen to build a product vision and roadmap that contributes to the success of our advertisers. You are a technical leader with track record of building and growing applied science and engineering teams. You experiment, develop proof of concept, and ship software. You own the day to day maintenance and evolution of systems that serve the needs of our large and growing base of advertisers. We are looking for a leader who can thrive in a startup environment, thinks big, can move fast, and wants to change the way customers use data to drive business success. If you excel at proposing and developing unique analytical insights and are passionate about creating the future, come join us as we work hard, have fun, and make history.You will:* Own technical vision and direction: You identify and mitigate risks, construct project schedules, and prepare status reports; you embrace performance metrics and measurement techniques because they help you assess how well system-related services are running.* Grow your team: You'll be accountable for growing a team featuring a mix of scientists and engineers that deliver results. This means you'll wear a lot of hats -- from developing scientific models to leading technical discussions, recruiting, establishing processes, and so on. You'll be an example of Amazon's leadership principles and work to grow more leaders within your group. You will manage a fast-growing team that spans multiple locations.* Collaborate on product direction: You’ll build and maintain strong relationships between your team and partner disciplines (Product, User Experience, QA) to ensure that we're focused on delivering the right product for customers.* Lead beyond your team: You will be a key leader within Amazon’s advertising organization. You will contribute to the overall growth of our product development organization. You'll share your best practices and technical acumen in order to drive technology decisions across our organization.You are:* Pragmatic and iterative in developing models and building software: you have an ability to simplify and get things done quickly with a demonstrated track record of building and delivering software and working effectively with external and internal teams.* Highly analytical and data-driven: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.* Technically fearless: You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries.* Team obsessed: You find and cultivate talent to be capable of achieving outstanding results. You help develop the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.* Comfortable with ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers.* Solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers.
US, NY, New York
Amazon AI is looking for world class scientists and engineers to join its AI Labs working within speech recognition. This group is entrusted with developing core data mining, natural language processing, and machine learning algorithms for AWS services. At Amazon AI you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new speech recognition 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.
IN, KA, Bangalore
Do you want to be part of a new team at Amazon that is making history? Do you want to build technology and new science that millions of people will use? Are you excited about working on large scale Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL)?We in Amazon search are embarking on a multi-year journey to rethink the shopping experience on Amazon starting with a solid understanding of the customer’s shopping mission based on their search query and using that to present products that they will like, view, and purchase. We are challenging the established idea that a list of results is the best experience when customers are looking to shop for the right product and that we should be designing shopping pages rather than search pages. But all that begins with a deep and accurate understanding of the query and very high precision matches of the query to products in our product catalog. And we believe that the latest advances in deep learning technology can help us realize our team’s long-term vision of making shopping effortless on Amazon.We are looking for a tenured researcher to work on improving multilingual search on Amazon using NLP, ML, and DL technology. This is a highly visible role with a huge impact on Amazon customers and business. As a part of this role, you will be lead an inter-disciplinary team of scientists and engineers to develop high precision, high recall, and low latency solutions for multilingual search. Your solutions should work for all languages that Amazon supports including but not limited to German, French, Italian, Spanish, Japanese, Chinese, Portuguese, Dutch, etc. and will be used in all Amazon locales world-wide. You will work with managers and Principals to develop a long term plan to improve multilingual search on Amazon. You will develop scalable science and engineering solutions that work successfully in production.This is a position on a new Multilingual Search team in Bangalore (India). We are moving fast to change the way Amazon search works. As a Senior Applied Scientist, you will lead scientists and engineers in Bangalore and serve as the point of contact with teams in Seattle and Palo Alto. Together with a multi-disciplinary team you will work on building solutions with NLP/ML/DL at its core. Along the way, you’ll learn a ton, have fun and make a positive impact on millions of people.
US, NY, New York
Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who are passionate about data science to join the Marketing Science team within Amazon Advertising.Amazon is investing heavily in building a world class advertising business that is responsible for defining and delivering a collection of 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.As part of our team evolution we are investing in improving our understanding of the advertisers on Amazon through advanced ML modeling and building an ML service that delivers personalized guidance to each of the thousands of advertiser on Amazon. We are moving fast and have the ability to shape our tech infrastructure that will combine science and scalable engineering at a rapid pace. We are looking for an Applied Scientist to join the team to drive key science methods and delivery of the project, working closely with product and engineering leads, as well as our leadership.
US, WA, Seattle
The IMDb TV team is shaping the future of digital video entertainment. Our mission is to build earth’s most customer centric ad supported premium free video service and make it trivially easy for hundreds of millions of customers to enjoy.We have learned that customer’s love IMDb TV so we are looking for an Principal Applied Scientist who can build on our early success, pioneer new programs for customers, and help define our future.As a Principal Applied Scientist, you will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will work with talented peers and leverage Amazon’s heterogeneous data sources and large-scale computing resources. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit tens of millions of Amazon.com customers.This is very much Day 1 for IMDb TV so you would be joining an entrepreneurial and pioneering team that is building from scratch.
US, CA, San Francisco
We are looking for a passionate and talented Applied Scientist who will collaborate with other scientists and engineers to leverage computer vision, including deep learning methods and algorithms.You'll design and run experiments, design new algorithms, and find innovative ways of optimizing customer experience. 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, Computer Vision, Machine Learning, 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.Responsibilities include:· Design, implement, test, deploy and maintain innovative data and deep 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 deep learning best practices to ensure a high standard of quality for all of the team deliverables
US, CA, San Francisco
We are looking for a passionate and talented Applied Scientist who will collaborate with other scientists and engineers to leverage computer vision, including deep learning methods and algorithms.You'll design and run experiments, design new algorithms, and find innovative ways of optimizing customer experience. 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, Computer Vision, Machine Learning, 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.Responsibilities include:· Design, implement, test, deploy and maintain innovative data and deep 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 deep learning best practices to ensure a high standard of quality for all of the team deliverables
US, WA, Seattle
The Alexa Growth Team is looking for a senior research scientist to help increase engagement and retention efforts across Alexa. We are seeking a talented, self-directed scientist to create advanced models that will impact every aspect of the Alexa customer experience. This is a unique opportunity where you will be working on cutting edge technology and also see it impact customer's lives in meaningful ways.Key responsibilities include the following:· Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience· Run A/B experiments, evaluate the impact of your optimizations and communicate your results to various business stakeholders· Apply machine learning and data mining techniques to improve the customer experience· Work closely with product managers and software engineers to design experiments and implement end-to-end solutions· Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences· Help attract and recruit technical talent
US, WA, Seattle
Job DescriptionAmazon's North America Sort Center team is looking for an experienced and motivated Data Scientist with proven ability to develop, enhance, automate, and manage forecasting and cutting edge prediction and learning/Artificial Intelligence models using strong quantitative skills. The successful candidate will have strong data mining, statistical modeling, machine learning skills and is comfortable facilitating ideation and working from concept through to execution.The position will partner with Engineering, Field Operations, Performance, Last Mile Delivery, Topology, Finance and Technology teams to enhance short term and long term prediction volume prediction and risk models that use a range of data science methodologies to automate data analysis or to solve complex business problems for the Sort Center network. Responsibilities include building automated tools and support structures needed to analyze data, design metrics for complex systems, dive deep to determine root cause of forecast errors & changes, create statistical definition of the outliers and methodologies to systematically identify and mitigate model variance drivers.A qualified candidate must have demonstrated ability to develop and manage medium to large-scale forecasting models and methodologies that are statistically grounded but also functional and practical. Must possess strong written and verbal communication skills, proven ability to engage and collaborate with customers to drive improvements. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology.Additional Responsibilities include:· Research machine learning algorithms and implement by tailoring to particular business needs and test on large datasets.· Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW)· Create automated metrics using complex databases· Providing analytical network support to improve quality and standard work results· Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown· Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality· Foster culture of continuous engineering improvement through mentoring, feedback, and metricsQualifications· Masters with two years of experience or a Bachelors degree in Statistics, Applied Math, Operations Research, Economics, Engineering or a related quantitative field with five years of working experience as a Data Scientist· Experience with statistical analysis, data modeling, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance· Experience in Statistical Software such as R, Weka, SAS, SPSS· Proficiency with TABLEAU/R Shiny/Dash or other web based interfaces to create graphic-rich customizable plots, charts data maps etc· Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)· Experience using one or more Python, R, Java, C++ VBA, MATLAB, programming languages· Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of dataPreferred Qualifications· Previous experience in a ML or data scientist role with a large technology company· Familiarity with the processes used in Amazon fulfillment network· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations· Experience in creating data driven visualizations to describe an end-to-end system· Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.· Experience with Amazon Quality operations and/or Standard WorkAmazon is an Equal Opportunity-Affirmative Action Employer- Female/Minority/Disability/Vet
US, CA, Hawthorne
Ring is looking for an insightful and analytical Data Scientist with strong business and technical skills to join our rapidly growing Business Intelligence team. In this role, you will be partners to various executive, product management, engineering, quality assurance, finance, logistics, shipping, sales and marketing teams that power Ring. Your work will be instrumental to achieving its mission, be highly visible to Ring / Amazon leadership, and will drive key strategic company goals.You will develop advanced models and tools, conduct statistical analyses, evaluate large data sets, and create tailored predictive models and recommendation engines. Additionally, you will be instrumental in the championing data science within the organization. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and competitive research.Responsibilities:· Selecting features, building and optimizing classifiers using machine learning techniques· Evaluate clustering, decision tree learning, artificial neural networks, and educate the team on the real-world advantages/drawbacks· Processing, cleansing, and verifying the integrity of data used for analysis· Creating automated anomaly detection systems, scoring systems and constant tracking of its performance· Anticipate, identify, structure, and solve critical problems using predictive modeling· Partner with subject matter experts to document and understand the features and attributes to use them efficiently in the data models· Manage multiple projects and proactively communicate issues, priorities, and objectives· Clearly communicate the model outputs to the executive staff and how we can use the model to make business decisions· Partner with subject matter experts to document and translate business requirements into technical requirements
CA, ON
Excited by finding ways to combine Machine Learning (ML) and Human Intelligence to solve problems that ML alone can’t solve?Amazon Mechanical Turk is a crowdsourcing marketplace that enables individuals or businesses to use human intelligence to complete jobs that humans can do better than computers, providing access to an on-demand, scalable, workforce. We connect startups, enterprises, researchers, well-known tech companies, and government agencies with individuals to solve problems in computer vision, machine learning, natural language processing, and more. Through Amazon Sagemaker Ground Truth and Amazon Augmented AI (A2I), we integrate seamlessly into ML workflows, to help ML scientists automate the process of labeling data for ML model training, or to make inferences though human intelligence when an ML model has insufficient confidence to do so.As a Senior Data Scientist on the team, you will apply your strong background in ML, statistics and data engineering to devise new ways to combine machine and human intelligence, and to derive new insights into the functioning of one of the world’s largest crowdsourcing marketplaces. You will be a scrappy self-starter, proficient in applying ML methods to generate predictions from complex, noisy, and semi- or un-structured datasets, and building robust pipelines to process, transform and analyze data in near-real-time. Where the data doesn't yet exist, you will be someone who can develop ways to obtain it and integrate it. You will be comfortable combining data engineering with modeling and analysis, to build out the foundation of data you can use to generate more complex insights. You will be as capable of writing documents, influencing an organization and leading a team as you are of digging into the details and executing as an individual. You will thrive in ambiguous and undefined problem spaces where you can largely own and define the problem and the solution, and where you can iterate through experiments and proofs of concept to develop key insights to inform our product.
CA, ON, Toronto
Alexa’s Entity Resolution team is looking for an experienced Applied Science Manager to build industry-leading technologies in natural language understanding. 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 based information retrieval. You will work in a hybrid, fast-paced organization where scientists and engineers work together and drive improvements to production. 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, WA, Seattle
Do you have a passion for diving deep to uncover key insights that drive critical business decisions? If yes, the Customer Behavior Cross Channel Optimization (CBA-XO) team is looking for somebody with your enthusiasm and skills to work as part of the team.Scientists and 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 scientists and 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 and data scientists in the trade.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. CBA-XO’s mission is to make Amazon’s marketing the most measurably effective in the world. Our long-term objective is to measure the incremental impact of all Amazon’s marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon’s marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance we will lead the Amazon worldwide marketing community by providing critical cross-country insights that can power marketing best practices and tenets globally.We are looking for a seasoned leader to manage a talented team of economists and machine learning scientists to build long-term causal estimation products using a combination of econometrics, machine learning and statistics leveraging the power of big data. These products lay the foundation of several key initiatives and strategic program investments at Amazon, generating multiple $Bns in incremental value across the company.Key Responsibilities:- Applies deep expertise in causal modeling to develop large-scale systems that are deployed across the company. Reviews and audits modeling processes and results for other scientists, both junior and senior.- Describes strategic importance of vision inside and outside of team. Identifies business opportunities, define the problem and roadmap to solve it. Brings a department or company-wide perspective in decision making.- Partners with the Product and Engineering teams to build production level systems to estimate the incremental impact of Amazon’s Marketing- Leads the project plan from a scientific perspective on small to medium product launches including identifying potential risks, key milestones, and paths to mitigate risks- Coaches and gives feedback to direct reports to help develop talent and support career development- Sets and balances goals across team to optimize performance against department goals and employee development. Identifies resource needs for the team.
US, NY, New York
The T1 Seller Development (T1SD) organization owns the charter to drive WW seller growth on Amazon. Our products are strategically important to the long term growth of Amazon’s consumer businesses, and our organization's initiatives are highly visible to Amazon's executive leadership. We will accomplish the ambitious growth goal through building innovative and scalable technical products and platform. We are seeking passionate Data Scientists to join our team to build the core models to create growth recommendation that pioneers the best seller growth experience. This is a great opportunity to build a greenfield project that serves as the foundation of our vision for the years to come.As a Sr. Data scientist on the T1 Seller Development team, you will own the development of analytical models to drive growth across the multi-billion dollar Seller business. The role will focus on developing machine learning and statistics models to prove out complex growth relationships between Sellers, Products and Programs. As one example, priority #1 for the role will be assessing behavior patterns of a Seller and correlating it to growth trajectory. The output of this will inform the development of new software and programs to drive incremental growth.The right candidate will have a strong interest in working with a newly formed tight knit team of data geeks that cover the full stack of data skillsets, including (1) data engineering, (2) analytics, (3) SQL and (4) ML/statistics. The right candidate will have a strong track record of independently delivering complex analytics projects, but also guiding team members around them to build out the supporting data infrastructure to execute the work.