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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

686 results found
  • US, WA, Seattle
    Job ID: 1318794
    (Updated 4 days ago)
    Are you passionate about solving problems in the marketing domain using various scientific methodologies?Are you the one who is full of ideas and ready to make an impact?The Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience. CBA-XO’s mission is to make Amazon’s marketing the most measurably effective in the world. Our long-term objective is to measure the incremental impact of all Amazon’s marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon’s marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance we will lead the Amazon worldwide marketing community by providing critical cross-country insights that can power marketing best practices and tenets globally.This role will be part of the new High Value Message (HVM) Analytics team within CBA, which is focused on defining and quantifying how effective our marketing campaigns are changing customer’s perception towards Amazon. You will be a leader to define the ambiguous space. We are looking for a thought leader and you demonstrate this by delivering solutions, not just by having ideas. You will work with Economists and apply theory and quantitative methods to relate how our marketing campaigns affect these measurement metrics. We encourage you to shape the business strategy with data driven recommendations. A successful candidate has an entrepreneurial spirit and wants to make a big impact on Amazon shoppers. You will develop strong working relationships and thrive in a collaborative team environment. Your role requires the ability to influence a virtual team of contributors and interact with marketing executives.The main responsibilities for this position include:· Apply expertise in causal modeling to develop systems that describe how Amazon’s marketing campaigns impact shopper’s perceptions.· Review and audit modeling processes and results for other scientists, both junior and senior.· Work with marketing leadership to align our measurement plan with business strategy.· Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them· Identify new opportunities that are suggested by the data insights.· Bring a department-wide perspective into decision making.
  • US, MA, Cambridge
    Job ID: 1318651
    (Updated 5 days ago)
    Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Alexa and Amazon products and services such as the Amazon Echo and Dot. Come join us!We're looking for an Applied Science Manager who combines exceptional technical, research and analytical capabilities to lead a team that will be integral to the continued improvement of Amazon Alexa. As an Applied Science Manager, you will be responsible for data-driven improvements and evaluation for our spoken language understanding models. You will be responsible for leading a team of research scientists and data experts to build ML models for assessing Alexa’s success at Natural Understanding with accuracy, reliability, scalability to new languages & devices, low latency and limited dependence on manually annotated data. Your work will directly impact our customers in the form of products and services that make use of speech and language technology, particularly in developing predictive analytics models for user in continuously improving the Alexa experience for our customers.This involves:· Conducting and coordinating process development leading to improved and streamlined processes for model development.· Ensuring 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.· Providing technical and scientific guidance to your team members.· Presenting proposals and results in a clear manner backed by data and coupled with actionable conclusions· Communicating effectively with senior management as well as with colleagues from science, engineering and business backgrounds, in written and verbal forms· Supporting the career development of your team members.The successful candidate will have an established background in defining metrics, building ML models, a strong technical ability, demonstrated experience in people management, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment.
  • US, WA, Seattle
    Job ID: 1318570
    (Updated 3 days ago)
    Are you passionate about big data and machine learning? Do you enjoy solving complex analytical problems, build predictive analytics models and develop insights and recommendations at web scale? Do you want to make an impact in Amazon’s multi-billion-dollar Messaging business? Amazon’s Outbound Communication Services, OCS, owns foundational systems that power all of Amazon's customer-facing communication on Email, SMS, Push channels, and other emerging messaging applications. In 2019, we sent over 135 billion messages to our global customers on these channels! OCS builds self-governing and message-optimizing engines that leverage integrated Machine Learning, massive data processing and adaptive algorithms to deliver the best messages to Amazon’s customers, over the best channel, and at the right time. Our systems ensure best-in-class engagement experience, which spans transactional and marketing communications. We're building a top-notch team of engineers, applied scientists, data engineers, and engineering leaders. The problems we face are complex and interesting including information engineering, data mining of Big Data sets, and governing real-time messages at scale. We build large scale, distributed systems using multiple AWS services that we designed from the ground up.We are looking for a strong Applied Scientist to work backwards from customers, create models and develop insights, deliver impact, and drive growth of the OCS worldwide. As a Senior Applied Scientist on our team, you will be working with business stakeholders, product/program managers, developers and executives to deeply understand customer problems and priorities. You will form hypotheses, analyze the corpus of Outbound and Amazon data using statistical methods, build predictive models, generate recommendations to address a range of problems to optimize the value of the messages we send to our customers. These span developing insights on customer engagement trends, building models to inform message rates, channel selection, and defining segmentation for marketing, etc. Your expertise will enable us to enable new customer experiences while maintaining best-in-class customer experience. You will be comfortable with big data systems, intimately familiar with advanced machine learning and statistical methods, and experienced in applying these to solve business problems. You will have a strong bias towards customer obsession and delivering results while dealing with ambiguity in fast-paced dynamic environments.Roles and Responsibilities· Work with business teams, product/program managers, engineers and leadership to identify and prioritize customer and business problems· Translate these problems into specific analytical questions and form hypotheses that can be answered with available data using statistical methods or identify additional data needed in the master datasets to fill any gaps· Perform hand-on data analyses and modeling with huge datasets to develop insights and recommendations to inform decisions across the program· Design and run A/B experiments to validate the hypotheses and evaluate the impact of your optimizations and communicate your results to various stakeholders· Collaborate with engineers and product managers to build scalable solutions and new capabilities· Help on projects of high visibility across the organization and deliver business impact
  • US, WA, Seattle
    Job ID: 1318502
    (Updated 5 days ago)
    The Central AWS Econ team is dedicated to bringing the most trustworthy evidence-based analysis to the most strategic decisions for AWS leadership.Our studies impact strategic investments, service business model, resource allocation, product priorities and pricing models, go-to-market motions and more.This economist role partners with AWS business leaders across the organization to define and deliver on economic questions that guide their most strategic decisions. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges and ambiguous starting points, and possesses strong communication skills to effectively interface and collaborate with product, finance, planning and business teams.Specific questions include developing supporting economics for new business model, evaluating the relationship between short and long term growth, mapping and affecting the customer journey through different AWS products and cloud technologies.The Central AWS Econ team is dedicated to answering these (and many more) questions using quantitative, economic and statistical methods.Key Responsibilities:· Frame and conduct economic studies, from question definition to and communicating practical implications to senior leadership· Develop new repeatable data analysis pipelines to be used by non-economists
  • US, CA, Virtual Location - California
    Job ID: 1318420
    (Updated 4 days ago)
    Are you passionate about leveraging your data science skills to make impact at scale? Do you enjoy developing innovative algorithms, optimization and predictive models to generate insights and recommendations that will be used by millions of Amazon selling partners and FBA operation teams to drive customer impact?Over 2 million Sellers in 10 countries list their products for sale on the Amazon Marketplace. To meet our sellers’ needs, our smart and customer-obsessed employees are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) is an Amazon service for our sellers. FBA Inbound analytics and data science team partners with FBA inbound product management team to optimize supply chain cost and lead time variability by influencing right trade-offs among cost, speed and FBA supply network capacity.We are looking for a motivated Data Scientist to build, optimize and productionize cutting edge machine learning models. A successful candidate will have strong quantitative, data mining, statistical modeling, machine learning skills and is comfortable facilitating ideation and working from concept through to execution. The position will partner with Product Management, Engineering, Supply Chain optimization and Finance teams to enhance short term and long term business use cases that leverage a range of data science methodologies to solve complex problems for the global FBA Inbound network.A qualified candidate must have demonstrated ability to develop and manage medium to large-scale models and methodologies that are statistically grounded but also functional and practical. Must possess strong written and verbal communication skills, proven ability to engage and collaborate with customers to drive improvements. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology.Key responsibilities of FBA Inbound data scientist include the following:· Research machine learning algorithms and implement by tailoring to FBA business problems· Manipulate/mine data from large databases (Redshift, SQL Server) and create automated pipeline for model training data sets· Improve model usability by analyzing customer behavior and by gathering requirements from business owners and other tech teams.· Create and track accuracy and performance of model predictions/recommendations. Retrain models to maximize business impact· Foster culture of continuous engineering improvement through mentoring, feedback, and analysis.· Lead setting up of machine learning infrastructure and processes for team to collaborate and share codeTo help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
  • US, WA, Seattle
    Job ID: 1318388
    (Updated 5 days ago)
    Amazon’s eCommerce Foundation (eCF) organization provides the core technologies that drive and power the Amazon website and the consumer experience. Millions of customer page views and orders per day are enabled by the systems eCF builds from the ground up. eCF Data enables business analytics and insights, providing data and data curation capabilities to thousands of internal and external customers worldwide.Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading machine learning services. As a scientist in the BDT team, you'll partner with technology and business teams to build services that surprise and delight our customers. You will be working with petabytes of structured and unstructured data to help our customers derive critical insights and solve real-world problems. You'll design and implement cutting-edge distributed ML services from the ground up, design and run experiments, research new algorithms, and find new ways of optimizing the risk, profitability, and customer experience for a wide variety of business segments across Amazon. As part of this group, you will have the chance to work with a large team of thought leaders, engineers, and scientists in the distributed computing, machine learning, and business intelligence fields.Applied science at Amazon is a fast growing field. This is a highly technical role that requires substantial cross-disciplinary interaction with software engineers, product managers, solution architects, business intelligence engineers, and other scientists. Besides theoretical analysis and innovation, you will work closely with software engineers to put your research, designs, and algorithms into practice. You will also work on cross-disciplinary efforts with other scientists and engineers at Amazon to establish scalable, efficient, automated processes for large-scale data analysis, ML model development, and model validation.We’re looking for top scientists capable of using ML, computer science, distributed systems, and other techniques to design, implement, and evangelize state-of-the-art solutions for previously-unsolved problems.
  • (Updated 1 day ago)
    Global Talent Management (GTM) is a central Human Resource (HR) team responsible for creating and evolving Amazon’s human capital and talent products and processes. The GTM Science team is a growing interdisciplinary team within GTM that develops evidence-based products and services that power the growth and development of Amazon’s talent across all of our businesses and locations around the world.GTM Science exists to propel GTM and Amazon HR toward being the most scientific HR organization on earth. Our mission is to use science to assist and measurably improve every talent decision made at Amazon. We do this by discovering signals in workforce data, integrating those signals and behavioral recommendations into Amazon’s talent products, and helping Amazonians make high-judgement decisions that raise the bar on talent. Our multi-disciplinary approach covers an array of capabilities, including: data engineering, business intelligence and analytics, research and behavioral sciences, data science, and applied sciences such as economics and machine learning.We are looking for a dynamic leader to join our leadership team. Reporting directly to the Director of GTM Science, you will lead a team of researchers and analysts primarily responsible for handling high-priority senior-leadership research requests that require scientific rigor and agility. You will be responsible for building mechanisms to scale collaborations across all areas of GTM Science/Product/Tech and to build project-based partnerships with HR Line Analytics and COE teams. Your approach balances scientific rigor and pragmatism, in order to deliver results at the speed of business decision-making. You and your team thrive on quickly framing open-ended business requests into an actionable research plan and reporting your results to the highest levels of leadership, to meaningfully shape Talent processes, policies, and programs in areas such as: Diversity & Inclusion, Flexible Work, Talent Mobility, Talent Evaluation, Talent Retention, Performance Management.
  • US, CA, Sunnyvale
    Job ID: 1317381
    (Updated 5 days ago)
    Want to build the future of music and audio entertainment?Imagine being part of an agile team, where your ideas have the potential to reach millions. Envision working within a startup atmosphere, while being able to leverage the resources of a Fortune-500 company. Picture working on bleeding-edge consumer-facing products, where every team member is a critical voice in the decision-making process. Welcome to Amazon Music’s New Projects team.Our team builds new experiences for Amazon Music listeners. We help our customers discover up-and-coming creators, while also having access to their favorite music and podcasts. We build systems that are distributed around the world, spanning our music apps, web player, and voice-forward experiences on mobile and Amazon Echo devices, powered by Alexa. Amazon Music products support our mission of delivering audio entertainment in new and exciting ways that listeners love.Amazon Music’s New Projects team is looking for founding team members across a variety of functions, including software engineering/development, product, marketing, design, and more. Come make history, as we launch new projects for millions of listeners.
  • US, MA, Boston
    Job ID: 1314738
    (Updated 7 days ago)
    Data Scientist: Elastic Block Store Data Services (AWS)Come and build the future with us as we change the way customers move and transform their EBS data at never before seen scale.EBS customers frequently need to move or transform their underlying data whether its accelerating volume creation from snapshots using Fast Snapshot Restore, increasing their database storage or changing their volume type through Elastic volumes, or encrypting their volumes using AWS managed keys. Our team creates solutions that enable and simplify EBS customer workflows.Building a High-Performing & Inclusive Team CultureYou should be passionate about working with a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.Work/Life BalanceEBS Data Services values work-life balance. On normal days, our entire team is co-located in the Boston office, but we’re also flexible when people occasionally need to work from home. We generally keep core available hours from 10am to 4pm. Some of the team is available earlier and the rest of us work a little later.Energizing and Interesting Technical ProblemsYou will work in partnership with engineers on the team to build and operate large scale systems that move and transform customer volume data and accelerate access to their data. You’ll be working to provide solutions to both internal and external customers and engage deeply with other teams within EBS, S3, EC2, and many other services. It’s humbling and energizing to provide data movement solutions to customers at AWS scale.Mentorship & Career GrowthWe’re committed to the growth and development of every member of EBS Data Services, and that includes our engineers. You will have the opportunity to contribute to the culture and direction of the entire EBS org and deliver initiatives that will improve the life of all of our teams.EBS Data Services is a growth environment - we’re hiring and scaling rapidly to meet the needs of our customers. You’ll have the opportunity to grow your scope of influence naturally as we scale and work on solutions that impact some of Amazon's largest customers.
  • US, MA, Virtual Location - Massachuset
    Job ID: 1314718
    (Updated about 14 hours ago)
    Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.The Research and Advanced Development team at Amazon Robotics is seeking interns with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects, including allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, and learning how to grasp all the products Amazon sells. We are seeking internship candidates with backgrounds in computer vision, machine learning, resource allocation, discrete optimization, search, and planning/scheduling. You will be challenged intellectually and have a good time while you are at it!
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