Are you a recent graduate, passionate about challenges, and excited about working with cutting-edge technologies?

Are you motivated by transforming data into strategic knowledge and generating real impact?

Would you like to be part of a dynamic, international environment full of opportunities?

Our client, a fast-growing technology startup, is on a mission to accelerate the global success of mobile applications. Backed by a strong client portfolio of top-tier developers and publishers, the company operates from three strategic hubs: Spain, Poland, and the United States. As they continue to scale, they are now expanding their team in Barcelona and seeking motivated recent graduates eager to kick-start their careers and contribute to an ambitious, high-impact project.

Join a vibrant Data Tech-Hub where you can grow and learn from a passionate team of Data Scientists, Data Analysts, and ML/Data Engineers is ready to innovate and inspire!

Main Responsabilities

• Assist in analyzing data to identify trends, patterns, and contribute to actionable insights under the guidance of senior team members.
• Participate in the design and development of data science solutions
• Contribute to various stages from initial analysis and model development to deployment, with a focus on optimizing for performance and scalability within ad targeting, bid strategies, and campaign performance analysis.
• Collaborate with technical and business teams to understand requirements and contribute to data-driven solutions and insights, particularly focusing on enhancing advertising effectiveness and ROI, while learning from experienced colleagues.
• Assist in maintaining and optimizing existing data processing pipelines and machine learning models, with a focus on applications within the ad-tech ecosystem
• Contribute to the exploration and evaluation of new data science techniques and technologies relevant to AdTech.
  
  

Core Skills/Experience

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Strong analytical skills with the ability to learn how to derive insights from datasets.
• Solid understanding of statistical modeling and machine learning fundamentals.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Tech Stack (Exposure and Willingness to Learn):
• Proficient in Python and SQL.
• Familiarity with data manipulation frameworks such as Pandas.
• Exposure to big data processing concepts (e.g., PySpark) is a plus.
• Basic understanding of ETL processes and tools (e.g., concepts similar to Dagster).
• Basic understanding of OLAP database concepts (e.g., concepts similar to Druid).
• Familiarity with cloud services (e.g., AWS) at a conceptual level.
• Exposure to DNN model training libraries and frameworks (e.g., PyTorch, TensorFlow, Hydra, Comet) through coursework or projects.
• Knowledge of Databricks (even through academic projects) is a plus.