As a Senior Data Scientist at Cint, you will play a pivotal role in developing next-generation AI solutions that power our product portfolio. Collaborating closely with Product and Engineering teams, you will bridge the gap between traditional research data and synthetic intelligence. You will focus on the research, validation, and delivery of models—including Large Language Models (LLMs)—that augment high-quality human signals across the Cint Exchange. This role involves advanced data mining, robust data validation, and the development of sophisticated statistical and machine learning methodologies.
The ideal candidate can independently research, develop, and maintain high-impact solutions that align Cint’s AI capabilities with market research trends, directly influencing strategic decisions for Cint’s proprietary synthetic data platform.
Responsibilities
Lead the research, discovery, and development of machine learning models - specifically focused on synthetic row generation, open-ended text generation, and data augmentation.
Design and drive advanced statistical methods and complex experiments to validate LLM performance and synthetic modeling hypotheses.
Develop logic for on-demand and dynamic boosting capabilities, collaborating with Engineering to integrate these models into Cint Exchange fielding workflows.
Design and refine sophisticated profiling taxonomies, leveraging large-scale datasets to create syndicated audiences.
Independently manage complex project planning, development, and maintenance end-to-end with minimal supervision.
Partner with Product, Engineering and Strategy teams to align technical AI delivery with business goals, ensuring a seamless transition from MVP to scaled integration.
Create clear, effective prototypes and deliverables that explain and defend complex Generative AI concepts to both technical and non-technical audiences.
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