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., clustering, regression, decision trees, neural networks) and their real-world tradeoffs.Proficiency in Python (for statistical and ML tools) and SQL (working with large-scale databases).Essential Qualities:Highly accountable self-starter and quick learner, motivated to deliver high-quality, impactful results.Strong data-driven mindset with the ability to translate abstract business requests into actionable analytical initiatives.Familiarity with financial datasets & commercial forecasting processes.Familiarity with web-analytics tools & optimizing user interfaces.Experience with survey exchange platforms or online market research products.Experience with Databricks, Spark, or PySpark for scalable data processing.Additional Information ValuesCollaboration is our superpowerWe uncover rich perspectives across the worldSuccess happens togetherWe deliver across borders.More About CintWe're proud to be recognised in Newsweek's 2025 Integral Top 100 Most Loved Workplaces, reflecting our commitment to a culture of trust, respect, and employee growth.In June 2021, Cint acquired Berlin-based GapFish – the world's largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. Mid-Senior LevelIndustry:

📌 Data scientist (marketing) (Barcelona)
🏢 Cint
📍 Barcelona