Company Description Who We Are Cint is a pioneer in research technology (ResTech).
Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more.
The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.
We are feeding the world’s curiosity!.
This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation.
The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market.
 What you will do Contribute to discovery and development phases for new and existing products/models relating to media measurement Participate in model development, validation and maintenance Analyze large datasets to identify trends, patterns, and insights, ensuring quality and reliability of results.
 Respond to ad hoc client-specific requests including performing analyses, data manipulation and producing summary results.
Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models.
Communicate insights and recommendations.