Company DescriptionWho We AreCint 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.
Job DescriptionAs a Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange.
Collaborating closely with product and engineering teams, you will deliver data-driven solutions to enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics.
This role involves advanced data mining and analytics, robust product and data validation, and the development of statistical and machine learning-based methodologies.ResponsibilitiesLead the research, discovery, and full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation for the Cint Exchange.Independently carry out project planning, development,



and maintenance with minimal supervision.Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products.Apply and implement advanced statistical and machine learning methods to solve complex business problems.Conduct exploratory analyses into key metrics and lead the design and execution of A/B tests and other complex experiments to validate hypotheses.QualificationsQualifications Required:Minimum 3+ years of working experience in a Data Science capacity (adjust to 5+ if Senior).Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field.hypothesis testing, parametric/non-parametric tests, survey design, experimental design, regression/predictive modeling, causal inference, and A/B testing).Solid knowledge of core machine learning techniques (e.g., cluste

📌 Data Marketing Scientist (Barcelona)
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