Job Description

As 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.

The adecuado candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint’s capabilities with market needs, directly influencing strategic decisions for the Exchange.

Responsibilities

- Lead the research, discovery, and full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation for the Cint Exchange.
- Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity,



supply/demand balance, and their underlying mechanics within the Cint Exchange.

- Independently carry out project planning, development, and maintenance with minimal supervision.

- Analyze large, diverse datasets to extract impactful insights that guide Exchange product and pricing strategy.

- 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.

- Create clear, effective deliverables that communicate complex insights and recommendations through compelling visualizations and presentations to both technical and non-technical stakeholders.

📌 Data Scientist (Barcelona)
🏢 Cint
📍 Barcelona