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Advance the state of the art in customer-obsessed science.
Nashlie Sephus
At Amazon we’re doubling down on our presence at conferences that target diverse individuals in technology like Grace Hopper Conference for Women in Computing or AfroTech.
Dr. Nashlie Sephus, Applied Scientist, Amazon Web Services

Career opportunities in science

926 results found
  • US, WA, Seattle
    Job ID: 1161687
    (Updated about 14 hours ago)
    Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is used daily by a massive audience on Amazon's websites and through a variety of devices including the Kindle Fire, game consoles, smart TVs and Blu-ray players. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. Movies range from new releases to classic favorites, and Prime Video offers major television episodes, entire seasons, or even day after air TV.The Prime Video Content Analytics team uses machine learning, econometrics, and data science to optimize Amazon’s streaming-video catalogue, driving customer engagement and Prime member acquisition. We generate insights to guide Amazon’s digital-video strategy, and we provide direct support to the content-acquisition process. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to predict and understand what customers like to watch.We are looking for a data scientist to build innovative systems for measuring the impact of engagement with Prime Video content. Key responsibilities of Prime Video data scientists include the following:· Optimizing the digital video catalog to improve customer experience and grow the Amazon business.· Improving model usability by analyzing customer behavior and by gathering requirements from business owners and other tech teams. Incorporating new data sources and implementing creative methodology innovations to improve model performance.· Creating and tracking accuracy and performance metrics.· Helping build production systems that take inputs from multiple models and support decision making.
  • US, MA, Cambridge
    Job ID: 1161686
    (Updated about 14 hours ago)
    Alexa is the groundbreaking cloud-based voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our mission is to push the envelope in Machine Learning (ML), Artificial Intelligence (AI), Natural Language Understanding (NLU), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Senior Machine Learning Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to augment and enhance voice centric intelligent systems. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will collaborate with other scientists and work in a fast paced team environment. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.
  • US, WA, Seattle
    Job ID: 1160587
    (Updated 4 days ago)
    As the most customer-centric company on earth, Amazon is leading the way in Customer Service (CS) and recognized as #1 in the world. The Worldwide Defect Elimination (WWDE) organization in CS drives Amazon towards the creation of a defect-free customer experience by building technology and mechanisms to detect, escalate, and eliminate customer experience defects before they impact customers. To achieve this, we must understand what our customers are saying through different customer feedback sources including CS contacts, product reviews, return comments, and social media posts. Customer feedback is often in free form language and unstructured formats, requiring advanced science and engineering to derive insights.We are looking for talented Machine Learning (ML) scientists to build innovative and scalable models using state-of-the-art ML and Natural Language Processing (NLP) techniques to help Amazon understand Voice of the Customer and provide the perfect customer experience. Are you passionate about solving real world problems by analyzing and modeling millions of customer feedback data points every day and creating cutting-edge algorithms? Do you enjoy working on challenging problems, and implementing/deploying your ideas at scale? Are you capable of building end-to-end solutions that deliver significant benefits to the business in a fast pace environment? Will you bring innovation and simplicity to the team? If so, you are invited to join the WWDE Science Team.Major responsibilities:· Understand business challenges as well as identify gaps and new opportunities by analyzing and extracting relevant information from large amounts of both structured and unstructured data· Take the lead on medium-to-large business goals, and work on large-scale scientific projects, systems and processes· Use statistics, NLP and deep learning techniques to create scalable, efficient, and automated solutions for business problems· Collaborate with tech and product teams on model building strategies and model experiments, implementation and continuous improvement· Prototype and implement novel ML algorithms and statistical approaches· Coach and mentor junior scientistsAmazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation /Age
  • ES, M, Madrid
    Job ID: 1160548
    (Updated 4 days ago)
    At Amazon, we are committed to being the Earth’s most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon’s cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.You will be joining the EU Lifecycle team is to evolve the onsite experience by understanding and serving the needs of customers at each stage of their relationship with Amazon. You will contribute to doing this by helping us identify the right promotions to show a customer given their interests and intent on Amazon using challenging machine learning and data analysis solutions. You will be exposed to cutting edge big data and machine learning technologies and you'll be part of a key effort to improve our customers experience.We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems, to name just a few. You will own the definition, training and validation of the machine learning models, and you will work closely with the software engineering team to deploy and operate these models at scale.Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process!
  • US, WA, Seattle
    Job ID: 1160478
    (Updated 4 days ago)
    The Director of Economics, WW Consumer Finance will lead a team of Data Scientists, Economists and Software Engineers responsible for reporting and attribution on changes to the Worldwide Consumer business due to both Macro (external) and Micro (internal) factors.The existing team focuses on Macro factors and delivers business insights by building automated tools and algorithms to understand the impact of trends and shocks (e.g. Brexit, Hurricanes) on Amazon customer behavior. The team’s mission is to provide Amazon’s Consumer Shopping business with tools and analysis to measure, test, and predict the impact of external events and trends on our customers’ interaction with the Consumer business. The team owns software systems that provide tools for scaling data science and econometric insights to Financial Analysts, provides advanced analysis education, and manages external data that benefits the WW Consumer organization.In addition to leading the existing team, the Director will build out a Micro attribution capability. The Micro function will add the tools and skill sets necessary to quickly report on causal attribution for internal Amazon changes. The Micro team will have the audit capability to track how projected downstream program benefits are actually realized and adjust future projections accordingly. The Micro function will rely on data science capability and tooling to be able to accommodate the more granular Micro data and rapidly changing internal business drivers.The Director will also provide thought leadership and career development coaching to other Data Scientists and Economists embedded on other teams throughout the WW Consumer Finance organization. The Director and his/her team will be a central science resource, and will provide consulting and governance across the WW Consumer Finance organization.We are looking for a seasoned economist and leader who is able to lead a multi-disciplinary team of experts into success through innovation and cross-functional collaborations, with the ability to translate science and data into practical advice that the business will use to make decisions. In this role you’ll need to be a strategic thought partner who brings people together across functions, a persuasive executive coach, and an organized and inspiring team leader.
  • US, NY, New York
    Job ID: 1160386
    (Updated about 16 hours ago)
    Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance 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.The Sponsored Brands Recommendations team is a versatile environment, with a wide variety of challenges. We focus on helping advertisers by providing recommendations to help them achieve their goals. We look at mega size data from both retail and advertising space, and coming up with ML based recommendations through multiple products.As a Data Scientist, you will solve real world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with scientists, engineers, BIE's, product managers. The successful candidate should have a strong quantitative background and excellent data analytics / math skills.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation#sspa
  • US, WA, Seattle
    Job ID: 1160667
    (Updated 4 days ago)
    Amazon delights millions of customers around the world. Meet PI-Squared, the behind-the-scenes team, that enables our HR and Operations Leaders to make informed decisions and improve the overall experience of a million frontline employees and leaders throughout their journey at Amazon. Our diverse team of statisticians, machine learning experts, and social scientists strive to make Amazon HR the most scientific HR organization in the world. We form hypotheses about the best talent acquisition, talent retention, and talent development techniques, and then set out to prove or disprove them with experiments and careful data collection.The ambition of Amazon HR is to be the most scientific organization in the world. We bring data and machine learning into management science to deliver workforce, associate experience, and leadership insights so Amazon leaders can focus their efforts in ways that will engage, retain and grow their talents. You will have the opportunity to work with operation leaders across different business lines to gain deep insights into Amazons’ daily operation and directly impact productivity, quality, and safety of hundreds of thousands of employees’ everyday life.Roles and Responsibilities:(1) Undertake econometric / statistical analysis to measure impact of various initiatives in the HR space.(2) Design and measure experiments(3) Undertake qualitative analysis to augment the findings from quantitative studies(4) Build scalable analytic solutions using state of the art tools based on large datasetsThis role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods. Preference will be given to candidates with additional experience in qualitative analysis in a variety of settings such as focus groups, field studies, surveys, and observational studies.The ideal candidate will be:· A Well-Rounded Athlete –Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.· A Perpetual Student – You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to challenges they had not yet identified.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.
  • US, CA, Sunnyvale
    Job ID: 1160088
    (Updated 4 days ago)
    Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?The Role:“If you do not work on an important problem, it's unlikely you'll do important work.” – Richard HammingWe have important problems to solve. There are great, world-changing products that should exist, but do not, because the technology to enable them does not exist. Yet. That’s where you come in.We are a smart team of doers that work passionately to apply cutting-edge advances in and to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet.Key responsibilities will be to conduct research and development in algorithms and to collaborate with cross-functional engineering teams, including Amazon Robotics, to put the concepts you develop into production. You will determine where commercially available solution and academic research can be applied to solve Amazon business problems, as well as identify opportunities for innovation. You will use a large amount of data to train and test algorithms to bring them up to production level quality.If this describes you, come join our team at Lab126 in the heart of Silicon Valley. An Applied Scientist on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential. The role includes the following:· Research, design, implement and evaluate novel algorithms· Work on large-scale datasets, focusing on creating robust, scalable and accurate systems in versatile application fields· Collaborate closely with team members on developing systems from prototyping to production level· Collaborate with teams spread all over the world· Work closely with engineering teams to drive scalable, real-time implementations· Track general business activity and provide clear, compelling management reports on a regular basis
  • US, CA, Sunnyvale
    Job ID: 1159935
    (Updated 4 days ago)
    Interested in Amazon Echo? The Amazon Alexa teams are building speech and language solutions which will enhance user interactions with Amazon products and services. Come join us!We are looking for a passionate and talented Senior Applied Scientist to join our team. As a Scientist in the Wakeword team within the Speech organization, you will work with talented peers to develop novel algorithms to advance the state of the art in Speech detection. Your work will directly impact our customers in the form of products and services that make use of speech technology. You will be able to leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in speech/non-speech detection under a diverse set of usage scenarios and noise-conditions.You will be able to:· Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products.· Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test.· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.· Clean, analyze and select data to gauge customer experience· Build and release models that elevate the customer experience and track impact over time· Present proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions· Work with engineers to develop efficient data querying and modeling infrastructure for both offline and online use cases
  • (Updated 4 days ago)
    Why this job is awesome?· This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.· MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.· We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.- Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site?- Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems?- Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company?- Do you like to innovate and simplify?If yes, then you may be a great fit to join the Delivery Experience Machine Learning team.Major responsibilities:· Research and implement machine learning and statistical techniques to create scalable and effective models in Delivery Experience (DEX) systems· Deep data analysis to solve business problems and to identify business opportunities to provide the best delivery experience on all Amazon-owned sites.· Design, development and evaluation of highly innovative machine learning models for big data.· Analyzing and understanding large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities· Working closely with other software engineering teams to drive real-time model implementations and new feature creations· Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationAmazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation
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