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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

727 results found
  • US, WA, Seattle
    Job ID: 1274811
    (Updated 5 days 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 a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. The Prime Video Economist team works on disruptive ideas in the Prime Video space.We are looking for a truly innovative Applied Scientist to work on disruptive ideas within the Prime Video space. Examples of problem spaces you may be working on include video product pricing, ecosystem effects (how streaming affects rentals or purchases), and forecasting demand for new content on the platform. We also work on complex questions beyond video, for example how customers use and transition between Video and other digital products (e.g. Music or E-books/Audiobooks).On our team you will work with a diverse scientific team including engineers and economists as well as other data scientist to build statistical models using world-class data systems and partner directly with the business to implement the solutions.
  • US, WA, Seattle
    Job ID: 1275538
    (Updated 2 days ago)
    Are you excited and passionate about delivering advanced analytics that directly influence the Fashion shopping experience? Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action? Come join Fashion Science team as Data Scientist.The Fashion Science team at Amazon aims to make Amazon the number one online shopping destination for Fashion by creating products, processes, tools, and platforms to support innovative and engaging fashion experiences. We are seeking a Data Scientist who has a solid background in database, hypothesis data, data mining, applied machine learning, deep passion for building data-driven products and has a history of executing complex projects and deliver solutions that directly impact customers.Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique challenges in areas such as product recommendations, product discovery, and data quality. The Fashion Science team builds large-scale machine learning systems to solve these challenges. We leverage the massive computing power of Amazon Web Services as well as big data technologies such as Spark and Hadoop to build data pipelines for hundreds of millions of products. Our data is used by numerous front-end teams to deliver loved experiences to customers all around the world.This role is part of Fashion Scientist team that is responsible for building Machine learning models for customer facing products. What is that you will do in this role? You will work with the scientists and engineers in this team to influence how the database and dataflow are designed for the ML production pipeline. You will also work with PMs to drive data-driven, customer-centric decisions, including diving deep dive into weblab results, customer feedback and interactions, and identify areas of opportunities.Key Responsibilities include:§ Design and build data architecture to extract data for decision making.§ Study, and understand the business requirements for data.§ Taking a data-driven approach to evaluate products and ML models work and identify areas of improvements.§ Contribute to the overall product roadmap, manage prioritization and trade-offs against customer experience, and time to market. Also, create, enhance, and maintain technical documentation, and present to other scientists and business leaders.
  • US, CA, Palo Alto
    Job ID: 1275230
    (Updated 6 days ago)
    MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLC, an Amazon.com companyTitle: Applied Scientist IILocation: Palo Alto, CAPosition 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
  • US, IL, Chicago
    Job ID: 1273920
    (Updated 6 days ago)
    Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
  • US, GA, Atlanta
    Job ID: 1273919
    (Updated 6 days ago)
    Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
  • US, NC, Durham
    Job ID: 1273918
    (Updated 6 days ago)
    Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
  • US, VA, Herndon
    Job ID: 1273917
    (Updated 6 days ago)
    Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
  • US, TX, Dallas
    Job ID: 1273916
    (Updated 6 days ago)
    Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
  • US, TX, Austin
    Job ID: 1273915
    (Updated 6 days ago)
    Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
  • US, NY, New York
    Job ID: 1273914
    (Updated 6 days ago)
    Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped
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