ARA Program Rules

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Last updated: March 12, 2021

By applying to or participating in the Amazon Research Awards Program (“ARA Program”), you agree to the following rules (“Rules”). These Rules are solely between Amazon Web Services, Inc. (“AWS,” “we,” “us,” or “our”) and the entity that you represent (“you” or “your”), including the lead researcher/s who applies to the ARA Program (the “Principal Investigator”) and any members of the research team. Capitalized terms not defined herein may be defined in the AWS Customer Agreement. The Principal Investigator is responsible for distributing these rules to all members of the research team before they participate in any research in connection with a proposal funded by the ARA Program.

I. Eligibility Requirements

To be eligible for an ARA Program award (“Award”), the Principal Investigator must be (1) either a full-time faculty member at an accredited academic institution or a permanent researcher at a non-governmental organization with recognized legal status in their respective country (equivalent to 501(c)(3) status under the United States Internal Revenue Code) and (2) at or above the age of majority in their jurisdiction of residence at the time of application. Each Principal Investigator is permitted to submit only one proposal to the ARA Program per call for proposal period.

By submitting your proposal to the ARA Program, you represent that your Principal Investigator:

(a) is not a paid employee of a government entity (other than an accredited academic institution);

(b) is not under US export controls or sanctions;

(c) has not been a director, officer, employee, intern or contractor of Amazon or its affiliates within the 12 months preceding application to the ARA Program (“Ineligible Personnel”);

(d) is not a member of the immediate family or household of Ineligible Personnel;

(e) has not participated in or had decision-making authority over any cloud infrastructure procurements involving AWS or its affiliates; and

The ARA Program is void in Cuba, Iran, Syria, North Korea, Sudan, the region of Crimea, and where otherwise prohibited by law.

Amazon employees are not eligible to receive an Award.

II. Application Content

No proposal to the ARA Program may contain any confidential information and no part may be marked as ‘confidential.’ Amazon does not accept any legal obligation (whether of confidentiality, compensation, return or otherwise) with respect to any proposals. Amazon reserves the right to implement competitive, similar, or identical ideas in the future, without restriction or obligation. You understand and acknowledge that Amazon has wide access to technology, designs, and other materials, and may work on and/or develop projects and ideas that may be competitive with, similar to, or identical to your proposal in theme, idea, format or other respects, inclusive. You acknowledge and agree that you will not be entitled to any compensation as a result of Amazon’s use of any such similar or identical material that has or may come to Amazon from other sources.

You represent and warrant that your proposal

(a) is either your original work or an update to original work;

(b) does not, to your knowledge, infringe any third party patent rights; and

(c) does not infringe, misappropriate or otherwise violate any other third party intellectual property rights (i.e. other than patent rights), including any copyrights, trade secrets, trademarks, contract or licensing rights, rights of publicity or privacy, or moral rights.

III. Awards

Proposals selected for funding will receive an Award that may include cash, AWS Promotional Credit, or both. Award funding is not extendable or transferable without our written consent, but you may submit new proposals for subsequent ARA Program calls.

All Award amounts will be determined by AWS in its sole discretion. Any cash component of an Award:

(a) will be structured as a one-year unrestricted gift to your Principal Investigator’s academic institution or organization;

(b) will be provided directly to your academic institution or organization for distribution and management; and

(c) may not be used for indirect expenses which are not incurred solely for your Principal Investigator’s research.

You or your academic institution are responsible for any costs and expenses associated with an Award, including overhead or indirect costs. You will be required to complete administrative requirements to process any cash Award, which may include submitting a W-9 form, completing a tax questionnaire, and registering in Amazon’s Payee Central System. If your organization is unable to complete these requirements in a timely manner, AWS reserves the right to rescind the Award. Any payment from AWS to you under the Award may be issued by a purchase order. Except where prohibited by law, you are responsible for all taxes (including income tax and value added tax) that may be imposed on you by your local tax authorities. These Rules, the agreements referenced herein, and any other agreement regarding the relationship between you and AWS will constitute a Master Agreement under the terms of the purchase order.

IV. AWS Customer Agreement

Your use of any AWS Promotional Credit is subject to the general AWS Customer Agreement terms or other terms governing your use of AWS Services (“Agreement”). In the event of a conflict between these Rules and the Agreement, the Agreement will control with respect to your access to and use of the Service Offerings. Additionally, any use of AWS Promotional Credit will be in accordance with and subject to the AWS Promotional Credit Terms & Conditions. In the event of a conflict between these Rules and the AWS Promotional Credit Terms & Conditions, the AWS Promotional Credit Terms & Conditions will govern with respect to any AWS Promotional Credit you receive.

V. Privacy

You acknowledge and agree that we may collect, store, share, and otherwise use personally identifiable information provided during the ARA Program application process, including but not limited to, name, mailing address, phone number, and email address. All personally identifiable information collected is subject to, and will be used in accordance with, the Amazon Privacy Notice, including for administering ARA Program and verifying applicant’s identities, addresses, and telephone numbers in the event a proposal is selected for funding. By participating in the ARA Program, you consent to the transfer of personal data to the United States for purposes of administering the ARA Program, conducting publicity about the ARA Program, and additional purposes that are consistent with goals relating to the ARA Program. The data controller for information collected by us is Amazon.com Services, Inc., 410 Terry Ave North, Seattle, Washington 98109, USA.

VI. Marketing & Publicity

Except where prohibited, you consent to our use of your name, likeness, biographical information, and voice in advertising, publicity, trade, and other marketing and promotional materials (including video, audio, and print through all means of distribution) worldwide without compensation, notice or approval, and you disclaim any ownership rights to the content of such materials.

You may acknowledge our support by stating that your research is supported by the ARA Program. Any use of the AWS logo is subject to the AWS Trademark Guidelines. Any other use of Amazon logos requires Amazon’s prior written consent. You must receive AWS’s prior written consent before issuing a press release or making any public disclosure regarding your participation in the ARA Program. You agree not to misrepresent or embellish the relationship between us and you. You will not imply any relationship or affiliation between us and you except as expressly permitted by these Rules.

VII. Limitation of Liability

YOU ACCEPT THE CONDITIONS STATED IN THESE OFFICIAL RULES, AGREES TO BE BOUND BY THE DECISIONS OF AMAZON, AND WARRANT THAT YOU ARE ELIGIBLE TO PARTICIPATE IN THE ARA PROGRAM. EACH RESEARCH TEAM MEMBER, THE PRINCIPAL INVESTIGATOR AND THE PRINCIPAL INVESTIGATOR’S INSTITUTION HEREBY RELEASES AMAZON FROM, AND WAIVES ANY AND ALL CLAIMS AGAINST AMAZON FOR, ANY LOSSES, LIABILITY, AND DAMAGES OF ANY KIND, (INCLUDING FOR ANY LOSS OF DATA, LOST PROFITS, COST OF COVER OR OTHER SPECIAL, INCIDENTAL, CONSEQUENTIAL, INDIRECT, PUNITIVE, EXEMPLARY OR RELIANCE DAMAGES) INCURRED OR SUSTAINED IN CONNECTION WITH OR RISING OUT OF (1) THE ARA PROGRAM OR ANY TRAVEL OR ACTIVITY RELATED THERETO, (2) USE OF ANY PROPOSAL OR RIGHTS THEREIN, OR (3) ANY BREACH OF ANY AGREEMENT OR WARRANTY ASSOCIATED WITH THE ARA PROGRAM, INCLUDING THESE OFFICIAL RULES, HOWEVER CAUSED AND REGARDLESS OF THEORY OF LIABILITY.

VIII. Changes

We may amend any of these rules at our sole discretion by posting the revised terms on the ARA Program website. Your continued participation in the ARA Program after the effective date of the revised rules constitutes your acceptance of the rules.

IX. Disputes

Any dispute or claim relating in any way to the ARA Program will be resolved in accordance with terms set forth in the AWS Customer Agreement.

X. Representations and Warranties

You represent and warrant that:

(a) your receipt of any Award is neither prohibited nor inconsistent with any applicable laws, regulations, or binding orders, including applicable ethics rules or internal institutional rules;

(b) you have completed or will complete all legal and ethical requirements necessary to accept the Award;

(c) your receipt of the Award will not create a conflict of interest for AWS or its affiliates;

(d) you are not participating in, nor have any decision-making authority over, any procurements or purchasing decisions involving AWS or its affiliates on behalf of your organization; and

(e) you will properly book and record the Award in your accounting documents in accordance with applicable laws and regulations.

In the event that your representations and warranties under this section are or become inaccurate, you must notify us immediately and any Award your organization receives will be voidable.

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Sr. Data Scientist, Prime Video
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. 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.As a Senior Data 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. Ideal candidate must demonstrate ability to think strategically and analytically about business, product, and technical challenges to contribute to the development of current and future technical roadmaps for Playback optimization Team. You will help us build the future of advanced analytics across the Prime Video playback, You will partner with Business Intelligence Engineers, Data Engineers, and Software Engineering teams to drive experimentation, forward-looking insights, predictive modeling, and machine learning algorithms. You will build best-in-class analytics solutions at scale. 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.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.Responsibilities:• Implement code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems. Work with software engineering teams to productionize algorithms where appropriate.• Lead the development of the scientific roadmap, guide and develop junior engineers in designing and implementing scientific solutions.• Translate analytic insights into concrete, actionable recommendations for business or product improvement. Develop and present these as reports to senior stakeholders with ranging levels of technical knowledge.• Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.• Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building to deliver accurate and effective business insights.• Innovate by researching, learning, and adapting new modeling techniques and procedures to existing business problems.• Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, predictive modeling, and stakeholder engagement.
Sr. Quantitative UX Researcher
US, MA, Boston
RESEARCH & DESIGN AT AMAZON PHARMACYAt Amazon Pharmacy, we are using design, service, and technology to change the way people think about medicine. Design is a vital part of our company’s DNA — Amazon Pharmacy grew out of PillPack, which has been recognized by Time, Fast Company, and the Cooper Hewitt Museum of Design for our customer experience. At Amazon Pharmacy, you’ll have the opportunity to make a big impact on our customers’ lives while informing the future of pharmacy and contributing to our mission of building the earth’s most customer-centric pharmacy.About the RoleAs a senior researcher, you will own the strategy, roadmap, and delivery of our customer satisfaction metrics (NPS, CSAT), invent new ways of tracking the success of our customer experience over time, and lead quantitative research that provides critical insights for our product and design teams. You will work closely with UX design and writing, product management, engineering, data science, and marketing to deliver programs and solutions that meet our customer and business objectives. This will be a highly visible role managing multiple work streams for our organization. If you obsess over customers, thrive in innovation-centric cultures, and want to be a part of a growing team aspiring to radically improve the experience of health and medication, this role is for you.About YouYou are an organized self-starter that can deal with ambiguity and are always on the lookout for ways to improve the customer experience, invent new approaches within your domain, and scale your impact. You easily move between big picture thinking and obsessing about the details, and have expertise conducting both iterative benchmarking and quantitative deep dives that inform future experiences. You are a confident, creative problem-solver and collaborator that can move from concept to execution with limited direction. You are proactive, results driven, and thrive in a fast-paced, startup-like environment. You are an excellent storyteller and capable of presenting–and defending–your ideas to colleagues, stakeholders, and senior leaders.
Applied Scientist
US, CA, San Diego
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team.The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation.Main responsibilities· Use statistical and machine learning techniques to create scalable risk management systems· Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends· Design, development and evaluation of highly innovative models for risk management· Working closely with software engineering teams to drive real-time model implementations and new feature creations· Working closely with operations staff to optimize risk management operations· Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Tracking general business activity and providing clear, compelling management reporting on a regular basis· Research and implement novel machine learning and statistical approaches
Economist II
US, VA, Arlington
Device Economics (DEcon) is looking for an economist experienced in causal inference, machine learning, empirical industrial organization, and scaled systems to advance critical resource allocation and pricing decisions in the Amazon Devices org. This role will help refine and execute scientific vision, including executing tooling to estimate demand. Output will be included in scaled systems and inform Devices finance and business leaders.Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches, new marketplace launches, and improvements to existing devices through software improvements. The Devices Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Amazon devices are durable consumer goods that delight customers at purchase and over time, and exhibit complementarities across product lines and product generations. Device Economics seeks an experienced economist adept in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, and mentor talent. This role has broad Devices-wide impact by advancing measurement of market dynamics, product interactions, and improving bundling, applicable across all product lines. This role will interact with internal customers.The candidate will work closely with Amazon Devices leadership in finance and product development to refine science roadmaps for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions. Excellent communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.
Senior Economist, Devices Value
US, WA, Seattle
Device Economics (DEcon) is looking for a senior economist with deep experience in empirical industrial organization and program evaluation to lead scientific evaluation and improvement of metrics used in promotion of Amazon Devices. The ideal candidate will be comfortable combining economic theory and empirical analyses to assess existing metrics in a principled manner, and devise superior metrics to advance business and customer interests. This role will be a critical leader in crafting the empirical strategy to advance promotion of first party Amazon Devices within the Device Economics team.Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches, new marketplace launches, and improvements to existing devices through software improvements. Importantly, the Amazon Devices business operates as a manufacturer, with unique complexities distinct from the retail business requiring new science and innovation. The space remains ‘Day 1’.The Devices Economics team leads in analyzing the complex marketplace dynamics and advancing science to reflect the durable goods aspect, and the broader availability of products (online and offline promotion). Device Economics enables science-driven decision making by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, promotion algorithms, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Device Economics seeks an expert in valuing durable goods to help the business optimize promotion and merchandising of our products to deliver customers. This expert will evaluate existing promotion metrics, propose theoretical framework to combine different metrics, and drive a research agenda to advance the metrics. Applications could include promotion algorithms, product assortment offline, bundling recommendation, and for hypothesis generation of value drivers.The candidate will work closely with Amazon Devices finance and promotion leadership to devise science roadmaps for innovation and simplification, and be comfortable operating in a cross-functional environment. Excellent communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.
Research Scientist - Robotics
US, MA, North Reading
The Research and Advanced Development team at Amazon Robotics is seeking passionate, hands-on scientists to work on cutting edge algorithms to power automation in Amazon’s order fulfillment and transportation network. Our multi-disciplinary team includes scientists with backgrounds in AI planning and scheduling, robotic grasping and manipulation, machine learning, and operations research. We work on problems such as:- Dynamic allocation and scheduling of tasks to thousands of robots- Learning how to manipulate all the products that Amazon sells- Planning and coordinating the paths of thousands of robots- Co-design of robotic logistics processes and the algorithms to optimize themThe ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses!
Senior Data Scientist
US, CA, Sunnyvale
Data Scientist Job DescriptionAre you interested in making history, defining and building innovative products and services for the robotics industry?AWS Robotics is a service that makes it easy for developers to build, test, and deploy intelligent robotics applications at scale. The service provides robotics software framework, development, simulation, and fleet management capabilities as an integrated platform. We are looking for a passionate Data Scientist to guide the development of new machine learning solutions for robotics.Job OverviewAs a Senior Data Scientist, you work closely with other research scientists, machine learning experts, and business experts to design and run experiments, research new algorithms, and find new ways to improve AWS’s robotic solutions. The Scientist 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. Science at AWS is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within AWS. You will have a significant role in developing others.The key strategic objectives for this role include:· Understanding drivers, impacts, and key influences on computer vision systems and robotic automation dynamics.· Drive actions at scale to improve the efficiency, reliability and predictability of robotic automation solutions using scientifically-based methods and decision making.· Helping to build production systems that take inputs from multiple models and make decisions in real time.· Automating feedback loops for algorithms in production.· Utilizing Amazon systems and tools to effectively work with petabytes of data.
Intern - Economics
US, WA, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.Job responsibilitiesThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full-time employment at Amazon.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Intern - Economics
US, WA, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.Job responsibilitiesThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time employment at Amazon.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Intern - Economics
US, WA, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.Job responsibilitiesThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Applied Scientist
US, CA, San Francisco
About Us:Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to outstanding esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate and grow their personal interests and passions. We're always live at Twitch. Keep an eye on all things Twitch on LinkedIn, Twitter and on our Blog.About the Role:Twitch Commerce helps communities grow by allowing viewers to show their monetary support to creators through patronage. We take pride in our mission to help creators build communities and earn a living entertaining them. The scale and diversity of users, transactions, social interactions and communities presents an exciting opportunity to use our data to personalize experiences for our users.The Commerce ML team is chartered to build and operate the ML models underpinning Twitch Commerce. For example, we work with our product teams to create production models that protect our business and users from fraud and invigorate the financial vitality of our communities by making every gift subscription matter.As a Senior Applied Scientist on the Commerce ML team, you will build solutions and experiments at scale. Twitch data is unique-- granular structured event data, graphs of user interactions, raw live video, and chat. Using it to make a difference for our customers is a rewarding technical challenge for the right contributor leading to immediate monetary impact for creators and for Twitch. This is a green-field territory that combines science leadership, technical strength, and product empathy. Come join us!You Will:· Contribute to and own a piece of the long-term machine learning vision for Commerce, motivated by the needs of our customers, translating that direction into specific plans for applied scientists, s engineering, product, and design teams.· Design, prototype and implement Machine Learning (ML) algorithms· Develop the production data pipelines and ML pipelines on which those algorithms operate· Work with investigators, analysts, PMs and SDEs to turn ever-evolving insights about our users into automated services.· Mentor junior scientists and engineers
Sr Research Scientist on Causal Inference, Marketing Science
US, WA, Seattle
If you are you seeking an environment where you can drive innovation, collaborate in a team of +30 researchers, applied and data scientists, move marketing science to the edge of the industry to make sure our customers receive the advertising they vote for: keep reading.We look for inquisitive, life long learner with a keen interest on evidence driven decision making, e-commerce and digital businesses and understanding of customer behaviour. If this is you, read on!We are looking for a Senior Research Scientist that will help us create best measurement and optimization models for our marketing functions on all consumer businesses in Amazon across all geographies. This includes· Identification of stakeholder business question and potential technical solutions;· Designing POC and POC performance metrics;· Road-mapping the project and scoping the work;· Delegating tasks;· Coordinating with stakeholders during POC and productionization process· Authoring working paper and other documentation.· For specified research objective, derive new, or modified, statistical estimators or identify appropriate statistical estimator.· Deriving risk function and identifying data conditions under which proposed estimator is better than other candidate methods.· Identifying/designing checks to ensure empirical data environment meets the data criteria for proposed estimator to be superior to other candidate methods· New potential statistical solutions to identified business goals. Conscious risk taker, opportunity driven motivated by innovative approaches taking you and your team out of your comfort zone.· Establish standards across teams to ensure consistency of model outputs across portfolio of solutions.· Ability to track whole cycle of modeling: from data inputs, modeling techniques, diagnosis on outputs (interpretation and stability) and productionalization· Mentoring - Be an unblockerAmazon 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.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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