The data scientist will lead a cross-functional team to develop an AI-powered solution that breaks down barriers to healthcare. By leveraging cutting-edge technologies, including LLMs from Google and Anthropic, the data scientist will analyze patient information and automatically generate accurate responses to complex forms. The ideal candidate will combine strong technical expertise with excellent communication skills and a passion for continuous learning.
As a Senior Data Scientist, you will lead the development and deployment of advanced analytics solutions to drive strategic decision-making across the organization. You will design, build, and maintain predictive models using advanced statistical and machine learning techniques to support risk assessment, credit scoring, pricing strategies, and loan origination optimization. The role involves stakeholder collaboration and communication.
As a Senior Data Scientist specializing in Payments & Fraud, you will play a pivotal role in reducing revenue leakage, safeguarding platform integrity, and optimizing the user payment experience. You will leverage data science, experimentation, and machine learning to detect and prevent fraud and abuse and evaluate the effectiveness of risk mitigation strategies.
Drive significant business value and innovation by spearheading our most critical machine learning initiatives and establishing a center of excellence for the data science practice. This is more than a modeling role; you will be a thought leader and a key driver in our journey to operationalize advanced analytics. Your work will directly influence customer growth, product strategy, and marketing effectiveness, tangibly impacting our revenue and our customers' financial lives.
Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering our two-sided ads marketplace. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in a critical area such as ad auctions, measurement, advertiser experience, performance optimization, ad formats, etc.