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SeniorFull-timeMachine LearningAI
Salary Range
$50,388 - $68,172 /year
This salary is estimated based on similar roles. The actual salary may vary.
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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About Cint
Cint is a leading provider of market research and data collection solutions, operating at the intersection of technology and analytics. Specializing in connecting researchers with global consumer insights, the company has established itself as a key player in the data-driven decision-making space. While the exact founding date and location are not explicitly stated, Cint's name and domain suggest a focus on efficiency and connectivity, likely originating in a region with strong tech and research infrastructure, possibly Scandinavia given the "-int" suffix common in Nordic naming conventions. The company serves as a bridge between organizations seeking consumer intelligence and the diverse populations they aim to understand. Cint's core offerings include online panels, survey distribution services, and advanced data collection tools that enable businesses to gather reliable consumer feedback at scale. Their platform features robust security measures, diverse respondent pools across multiple countries, and customizable data collection methodologies to suit various research needs. The company primarily targets market researchers, brand managers, and data analysts in industries ranging from retail and technology to healthcare and finance. By providing access to validated consumer insights, Cint empowers organizations to make evidence-based decisions, optimize product development, and refine marketing strategies with confidence. Cint has positioned itself as a trusted partner in the global research industry, known for its commitment to data quality and ethical research practices. The company differentiates itself through its extensive global network of respondents and its innovative approach to panel management, which ensures representative and engaged participant pools. As a result, Cint has become a preferred solution for multinational corporations and research agencies requiring scalable, high-quality data collection. Their ability to deliver actionable insights across borders and cultures underscores their unique value proposition in an increasingly data-centric business landscape.
