Data Scientist III, Creative X - RAPID
Amazon - Seattle, Washington, us, 98127
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Overview
Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.
We are seeking a talented Data Scientist to join our growing analytics team. In this role, you will leverage your analytical and technical expertise to extract valuable insights from complex datasets, develop machine learning models, and drive data-informed decision-making across the organization.
Key Responsibilities:
Design and execute end-to-end data science projects, from problem definition to solution deployment Develop and implement machine learning models to solve business problems and improve operational efficiency Create and maintain data pipelines for model training and deployment Conduct exploratory data analysis to uncover patterns and trends Collaborate with stakeholders to understand business requirements and translate them into technical solutions Present findings and recommendations to technical and non-technical audiences Monitor and optimize model performance Mentor junior team members and contribute to best practices
We are looking for talented Data Scientists who are adept at: Predictive modeling, reinforcement learning, recommendations, and familiarity with LLMs, latent diffusion, or related foundational models Rapidly designing, prototyping and testing hypotheses in a high-ambiguity environment Driving end-to-end Machine Learning projects that have a high degree of ambiguity, scale, and complexity Building machine learning models, performing proof-of-concept, experimenting, optimizing, and deploying models into production Establishing scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Researching new and innovative machine learning approaches Promoting the culture of experimentation and data science at Amazon
About the team: Our team, CreativeX Optimization, is responsible for personalizing the visual experience of ads in real time. We apply advanced machine learning and generative AI to help advertisers build, identify, and understand what ad creatives work with their audiences. We develop customized CTR and CVR prediction models to help advertisers efficiently connect with shoppers across the web. We have a broad mandate to experiment and innovate, as we seek to leapfrog the competition and impact billions of impressions daily.BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 4+ years of industry or academic research experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Compensation:
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Posted:
January 28, 2025 (Updated about 13 hours ago)
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