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.
#J-18808-Ljbffr