Data Scientist III, Creative X - RAPID

Data Scientist

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

Key job responsibilities

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 that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and raise the research bar within the team.

Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, perform hands-on analysis and modeling of enormous data sets to develop insights that improve shopper experiences and merchandise sales

Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.

Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.

Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.

Research new and innovative machine learning approaches.

Promote 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 develop generative models to understand shopper preferences across text, images, and videos. 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. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.