Perform data wrangling tasks, including data cleaning, transformation, and integration from multiple sources to ensure high-quality and accurate datasets for analysis.
Continuously research and learn about new technologies and statistical methodologies to stay current in the rapidly evolving field of data science and marketing analytics.
Assist in applying advanced statistical techniques and machine learning algorithms to analyze event-level and aggregated data, identify patterns, and provide actionable insights to drive marketing performance.
Support the implementation and evaluation of marketing models, such as customer segmentation, lift analysis, attribution modeling, and marketing mix models.

Bachelor's or Master's degree in Data Science, Economy, Statistics, Computer Science, or a related field.
Proficiency in statistical programming languages and packages such as Python, Pandas, and sci-kit-learn.
Knowledge of SQL is desirable.
Knowledge of statistics (e.g., correlation and regression, statistical significance tests, t-tests, z-score) and Machine Learning (Clustering, ensembles, SVM).
Proficiency in MS Office tools such as Excel.
Advanced English language skills (mandatory).
Ability to work in a team, even remotely with global teams.

EPS 100% health insurance and wellness initiatives
Long-Term Contract: Stability and the opportunity to grow within a global network.
Remote Work Model: Virtual work environment with a healthy work-life balance.
Inclusive, collaborative, and purpose-driven workplace.
Competitive Compensation: Full time contract monthly salary + food benefit card

Data Science Associate

Key skills