Customer-obsessed science

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.

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.

Amazon Advertising is looking for a motivated, analytical, self-starter to help pave the path for the next generation of insights and advertising products.You will take consumer insights, advertising effectiveness knowledge and business information needs of our advertising clients to envision new advertising products and tools. You will facilitate innovation on behalf of our customers through prototyping and delivering fully functional proof of concepts (POCs). You will partner with our engineering and platform teams to develop and scale successful POCs.This role requires strong hands-on skills in terms of effectively working with data and coding. However, the ideal candidate will also bring strong interpersonal and communication skills as the incumbent is expected to directly engage with advertising clients to validate the need and impact of prototypes, as well as to generally stay connected to insights needs of account teams and advertisers.This is a truly exciting and versatile position in that it allows you to apply and develop your hands-on data modelling and coding skills, to directly engage with stakeholders at major brands while at the same time offering opportunities to work with engineering teams to scale successful innovations.Specific Responsibilities· Create new analytical products from conception to prototyping. Scale the product through to production· Leverage Amazon's data to conduct research on consumer behaviour (in the context of media planning). Make findings available via publishing learning white papers· Communicate with clients to understand their needs· Represent the "voice of the customer", identify repeatable solutions that can be built to scale to serve more advertisers. Act as a liaison to product teams to help productize these solutions· Work closely with the Engineering team· Advocate and educate clients and internal teams on Amazon's ad platform products· Work closely with sales, retail and account management to make data-driven decisions around media planning and strategy· Utilize Amazon's marketing measurement and data platforms to help our advertisers understand the impact of their marketing investments with Amazon

Are you passionate about building an experimental culture while creating and delivering differentiated values for our customers? This is a rewarding role where you will be able to draw a clear connection between your work and how it improves customer trust and experience of millions of Amazon customers across globally. Help us reinvent risk management to create a resounding impact for our customers.We are looking for an Applied Scientist to join the Risk Analytics & Insights team and shape our team’s vision, build risk products and execute delivering our big ideas in risk management. In this role, you should be comfortable working independently with the ability to prioritize workloads, remain flexible, and maintain a strong attention to detail in a fast-paced environment. You will evaluate existing and new technologies required for a solution. You will work with a cross-function team (science, product, engineers, risk manager) to apply your specialized expertise to invent, design, and build innovative software that are stable and performant. You will deliver artifacts with the proper level of complexity the first time (or at least minimize incidental complexity). You will make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., hardware, data storage, etc.). You will also be involved in the broader scientific community (e.g., give invited talks, lectures, review for conferences).Key role responsibilities include:· Research, design and implement scalable machine learning (ML), natural language, or computational models to solve problems that matter to our customers in an iterative fashion.· Lead the design, implementation, and successful delivery of large, critical, or difficult scientific solutions involving a significant amount of work while delivering solutions with complete independence.· Map business requirements and customer needs to a scientific problem while providing structure around complex risk decision-making problems.· Align the research direction to business requirements and make the right judgments on research and development schedule and prioritization· Contribute to operational excellence in your team’s scientific components, constructively identifying problems and proposing solutions, taking on projects that improve those components, making them better and easier to maintain.· Mentor and develop junior applied scientists/interns or developers who work on data science and ML/AI problems in the same organization.· Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.

Amazon opened its virtual doors in 1995 and strives to be the world’s most customer-centric company, where customers can find and discover anything they might want to buy online.The Amazon Logistics team is offering positions to creative big thinkers who are passionate about using data to direct decision making and solve complex and large-scale challenges. We are looking for individuals with a strong interest in improving one of the world’s most complex logistic systems. As part of the Amazon Logistics team, we design and build systems that support planning decisions, measure and manage the last mile transportation, real estate investments, and resource planning.As an Operations Research Scientist, you will use your experience to develop new solutions to improve the performance of Amazon Logistics. Working closely with groups such as program managers, operation, business analysts, data scientists and research scientists, you will support various business initiatives and use your experience in modeling, statistics, simulation and optimization to design models of new policies, simulate and optimize their performance, and evaluate their benefits and impacts to cost, reliability, and speed of our outbound transportation network. You will present your findings to your peers and senior management, and work with program managers to integrate the findings into our product plans.This position requires superior analytic thinkers, who are able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving and be able to measure and estimate risks.We’ll expect you to go the extra mile, but we’ll also make sure you’re well rewarded. As well as a competitive salary and stock units, we offer a whole host of other benefits, including an employee discount.There are other, more intangible rewards too. Like our commitment to your development, a refreshing lack of hierarchy, the chance to work with some of the brightest minds in the industry, plenty of team spirit and an informal atmosphere – suits and ties are few and far between.Join our EU team in Luxembourg, London, Munich, Paris, Milan or Madrid.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Amazon opened its virtual doors in 1995 and strives to be the world’s most customer-centric company, where customers can find and discover anything they might want to buy online.The Amazon Logistics team is offering positions to creative big thinkers who are passionate about using data to direct decision making and solve complex and large-scale challenges. We are looking for individuals with a strong interest in improving one of the world’s most complex logistic systems. As part of the Amazon Logistics team, we design and build systems that support planning decisions, measure and manage the last mile transportation, real estate investments, and resource planning.As an Operations Research Scientist, you will use your experience to develop new solutions to improve the performance of Amazon Logistics. Working closely with groups such as program managers, operation, business analysts, data scientists and research scientists, you will support various business initiatives and use your experience in modeling, statistics, simulation and optimization to design models of new policies, simulate and optimize their performance, and evaluate their benefits and impacts to cost, reliability, and speed of our outbound transportation network. You will present your findings to your peers and senior management, and work with program managers to integrate the findings into our product plans.This position requires superior analytic thinkers, who are able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving and be able to measure and estimate risks.We’ll expect you to go the extra mile, but we’ll also make sure you’re well rewarded. As well as a competitive salary and stock units, we offer a whole host of other benefits, including an employee discount.There are other, more intangible rewards too. Like our commitment to your development, a refreshing lack of hierarchy, the chance to work with some of the brightest minds in the industry, plenty of team spirit and an informal atmosphere – suits and ties are few and far between.Join our EU team in Luxembourg, London, Munich, Paris, Milan or Madrid.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCTitle: Applied Scientist IIWorksite: Seattle, WAPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000

Join the Amazon family and take part in the development of next generation products that will define the future of the cloud domain. Annapurna Labs, an Amazon company, is looking for talented engineers to help us develop cutting edge products within disruptive system architecture. You’ll have the opportunity to work on the technologies that power the world’s largest Cloud provider, within a dynamic, open, and fast-paced environment. We’re searching for sharp engineers to drive cutting edge products, re:invent super computers and further develop our new SRD (Scalable Reliable Datagram) network protocol into the largest public cloud on the planet! starting from the identification and definition of project requirement, feature development and deployment, to operation support on a very large scale.Your job will include improving SRD protocol related algorithms using diverse approaches like constrained optimization, control theory, signal processing and machine learning. The role requires a person with both strong theoretical background and hands-on capabilities who can come up with innovative ways to approach the problem, apply appropriate techniques to collect/analyze data, implement and test the solution, and provide necessary support after deployment.Are you ready to join the future?Learn more on SRD:· Recent paper on SRD "A Cloud-Optimized Transport Protocol for Elastic and Scalable HPC"· https://ieeexplore.ieee.org/document/9167399· Peter DeSantis talking about re:inventing HPC infrastructure using EFA & SRD:· https://www.youtube.com/watch?v=GPUWATKe15E&feature=youtu.be&t=228· Brian Barrett talking application scaling with EFA and SRD:· https://pages.awscloud.com/HPC-Application-Scaling-with-Elastic-Fabric-Adapter-EFA-and-Scalable-Reliable-Datagram-SRD_2020_0004-CMP_OD.html

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 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-II, 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

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.

Do you want to join Alexa AI -- the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?If your answers to these questions are “yes”, then come join us at the Alexa Artificial Intelligence team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.With the Alexa Artificial Intelligence team, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..You will be expected to:· Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT).· Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints· Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios;· Perform model/data analysis and monitor user-experienced based metrics through online A/B testing;· Research and implement novel machine learning and deep learning algorithms and models.

Can Alexa help anyone experience the music they enjoy? Even if they don't know what they'd like to listen to in this moment? Or, if they know they want “Happy rock from the 90s”, can she help them find it?Your machine learning skills can help make that a reality on the Amazon Music team. We are seeking an Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval.You'll work in a collaborative environment where you can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.The successful candidate will have a PhD in Computer Science with a strong focus on machine learning, or a related field, and 2+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems. Great if you have a passion for music, but this is not a requirement.Responsibilities:- Advance long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences;- Analyze large amounts of Amazon’s customer data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;- Validate new or improved models via statistically relevant experiments across millions of customers;- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale.Amazon MusicImagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.Come innovate with the Amazon Music team!

Organizational Research and Measurement is seeking a multi-disciplinary data scientist to enable and advance our Diversity, Equity and Inclusion work. As Amazon World Wide Consumer increases the speed and complexity of our operations, we need to find new ways to help employees grow and succeed. As a data scientist on the team, you will have the opportunity to work on one of the world’s largest employee data sets and influence the long-term evolution of how we understand and support employees as professionals and individuals.The ideal candidate for this role will be a collaborative team player with strong technical abilities, communication skills, project management experience, and a proactive, start-up-style mentality. You possess solid analytical skills in data science and excels in deriving actionable business insights that drive positive changes. You will have hands-on experience leading product development initiatives, and are able to balance technical leadership with strong business judgment to make the right decisions about technology, models, and methodologies choices. You strive for simplicity, learn quickly, and demonstrate significant creativity and high judgment backed by data.Responsibilities· Enable team data efficacy and efficiency· Lead the data aspects of scientific research projects from start to finish, including experiment / study execution, data gathering and manipulation, synthesis and modeling, reporting, and solution implementation· Design, Plan, build, and maintain experimental and production systems that take inputs from multiple models and data sources to support scalable, iterative, and continuous experimentation· Work with Amazon Operations and HR to identify opportunities for enhancing and enriching data sources to the team· Collaborate with customers, stakeholders, engineers, scientists, and program and product owners· Identify, assess, track, and mitigate data related issues and risks at multiple levels· Seek out and capitalize on opportunities to innovate new data technologies as needs· Identify, apply, and advance best practices across the disciplines of statistics, applied psychology, software development, and data science· Own the advancement of the team’s data analytical capabilities· Identify and pursue collaboration opportunities with other data teams working on parallel or complimentary projects· Manage relationships with other data teams necessary for our team to grow and function· Provide technical leadership in data science and mentoring to team members

The Organizational Research and Measurement team conducts research supporting all Amazon corporate employees. Our goal is to build talent systems to enable employees to thrive at Amazon. We focus on the entire employee life-cycle to improve both business and employee outcomes. This entails doing longitudinal survey research, organizational network analysis, experimental and quasi-experimental studies for causal inference, building services that plug-in to other tools, and providing general consultation to stakeholders. We aim to improve the outcomes of our business and employees by doing cutting edge social science research.The Role:As a Data Scientist at Amazon, your main focus will be on developing predictive models, simulation, visualization, and support structures for data analysis.

The Organizational Research and Measurement team conducts research supporting all Amazon corporate employees. Our goal is to build talent systems to enable employees to thrive at Amazon. We focus on the entire employee life-cycle to improve both business and employee outcomes. This entails doing longitudinal survey research, organizational network analysis, experimental and quasi-experimental studies for causal inference, building services that plug-in to other tools, and providing general consultation to stakeholders. We aim to improve the outcomes of our business and employees by doing cutting edge social science research.The Role:As a Data Scientist at Amazon, your main focus will be on developing predictive models, simulation, visualization, and support structures for data analysis.

The Organizational Research and Measurement team conducts research supporting all Amazon corporate employees. Our goal is to build talent systems to enable employees to thrive at Amazon. We focus on the entire employee life-cycle to improve both business and employee outcomes. This entails doing longitudinal survey research, organizational network analysis, experimental and quasi-experimental studies for causal inference, building services that plug-in to other tools, and providing general consultation to stakeholders. We aim to improve the outcomes of our business and employees by doing cutting edge social science research.The Role:As a Research Scientist at Amazon, you will apply scientific principles, subject matter expertise, and business acumen to deliver results at scale by conducting employee life-cycle research.Key Responsibilities:· Supporting global-scale research initiatives across multiple business segments and implementing a wide range of scientific methodologies to solve stakeholder problems.· Collaborating with a cross-functional team that has expertise in the social sciences (e.g., econometrics, psychometrics, judgement and decision making models), machine learning, data science, data engineering, and business intelligence· Querying from multiple data sources, data cleaning and exploration, and advanced statistical analysis.· Writing high-quality, evidence-based documents that help provide insights to business leaders and gain buy-in.· Convert evidence-based insights into usable products, services, or tools for stakeholders.· Serving as a subject matter expert on a wide variety of topics related to research design, measurement, and analysis.· Sharing knowledge, advocating for innovative solutions, and supporting team members.

The AWS Central Economics team is looking for a PhD economist. The ideal candidate will have experience with time-series forecasting.You will learn about cloud products, including compute, storage, and databases. You will work on analytic projects requested by senior leadership. You will get the opportunity to learn new techniques. You will be a part of a team with many experienced economists.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

The Organizational Research and Measurement (ORM) Team within World Wide Consumer guides the talent strategy for Amazon’s largest workforce comprised of over one million Amazon global employees across order fulfillment, transportation, corporate, consumer, and customer service organizations. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver data products and solutions across the employee lifecycle including onboarding; high-potential identification; talent development; engagement; movement; retention; and attrition.We are looking for an applied scientist who is able to engineer end-to-end solutions for complex science and business problems around the future of talent evaluation, development, and management at Amazon. You will work closely with I/O psychologists, economists, engineers, and business partners to estimate and validate models on large scale data, and turn the results of these analyses into products, policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine strong data science, software engineering, UX and product development skillsets with a desire to innovate, and who know how to execute and deliver on big ideas.Key Responsibilities· Develop of start-to-finish data product solutions from requirements gathering and ideation, through interface design and implementation.· Design data infrastructure and pipelines for machine learning and analytics products.· Obtain, merge, analyze, and report data using SQL, statistics software, and data visualization tools.· Apply various statistical and machine learning techniques to analyze large and complex data sets.· Communicate applied machine learning and statistic concepts to project sponsors, business leaders, and development teams across Amazon.· Understand business customer needs, iterate on feedback, and drive adoption

The Organizational Research and Measurement (ORM) Team within World Wide Consumer guides the talent strategy for Amazon’s largest workforce comprised of over one million Amazon global employees across order fulfillment, transportation, corporate, consumer, and customer service organizations. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver data products and solutions across the employee lifecycle including onboarding; high-potential identification; talent development; engagement; movement; retention; and attrition.We are looking for an applied scientist who is able to engineer end-to-end solutions for complex science and business problems around the future of talent evaluation, development, and management at Amazon. You will work closely with I/O psychologists, economists, engineers, and business partners to estimate and validate models on large scale data, and turn the results of these analyses into products, policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine strong data science, software engineering, UX and product development skillsets with a desire to innovate, and who know how to execute and deliver on big ideas.Key Responsibilities· Develop of start-to-finish data product solutions from requirements gathering and ideation, through interface design and implementation.· Design data infrastructure and pipelines for machine learning and analytics products.· Obtain, merge, analyze, and report data using SQL, statistics software, and data visualization tools.· Apply various statistical and machine learning techniques to analyze large and complex data sets.· Communicate applied machine learning and statistic concepts to project sponsors, business leaders, and development teams across Amazon.· Understand business customer needs, iterate on feedback, and drive adoption

Come and join the Database Migration Accelerator team that helps our customers migrate to the cloud. We are on a mission to transform legacy enterprise workloads into modern AWS native application architectures. We achieve this by utilizing cutting edge tools, sophisticated engineering systems and database expertise. We provide fixed price and high speed migrations to the cloud. Database Migration Accelerator is combining various AWS cloud platform services into one product which would serve our customers.We are a team of professionals that are forward-looking and using latest technology offerings (AWS cloud services, Machine Learning, Mathematical Optimization, Relational and NoSQL databases) to build new capability to operationalize and automate migration methodologies. Databases Services at AWS cover a range of data platforms including: Amazon Aurora, DynamoDB, Redshift, Athena, as well as AWS Database Migration Service, Data Pipeline, Glue and more. As each service grows, so does adoption by customers world-wide.We have an opportunity for a Senior Applied Scientist who is passionate about combining machine learning with developing new offerings for the cloud and is enthusiastic about applying bold new ideas to real-world problems.Joining the AWS Database Services team as a Senior Applied Scientist gives you the opportunity to:· Work for a company that’s at the forefront of the cloud computing space.· Be a part of something unique what no other previously developed and was successful.· Design machine learning solutions to intelligently move enterprises to the cloud.· Truly own the solution from concept design through development to production.· Join the team whose activities are regularly called out publicly by AWS CEO Andy JassyWork/Life BalanceOur team places value on work-life balance. Our team is global, based in the US and Poland. Our Poland teams typically start later in the day to have a couple of hours of overlap with US teams.Mentorship & Career GrowthOur team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Our senior engineers mentor more junior engineers through one-on-one mentoring and collaborative code reviews. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.Inclusive Team CultureWe get to build a really cool service and the main contributing factor to our success is the inclusive and welcoming culture that we embody every day.We welcome teammates who are enthusiastic, empathetic, curious, motivated, reliable, and able to collaborate with a diverse team of peers.As a Senior Applied Scientist, your responsibilities will include:· Building new cloud based Machine Learning solutions and algorithms to accelerate migrations to the cloud· Participating in hands-on machine learning experimentation and delivering the results in the form of new products· Creating technical strategies and delivering with limited guidance· Solving difficult and complex software problems. Your solutions should be extensible· Cross-collaborating with a number of different teams with overlapping work, including solutions architects, developers, product managers, senior leaders, and many more· Mentoring more junior members of the team or collaboration partners