The Role

Responsibilities
- Prepare and organize data to develop information models that can prove or reject project hypotheses.
- Use statistical and data science tools (mainly with R and/or Python) to create models that portray user behaviour and relationships between online and offline.
- Design and manage experiments to ensure proper execution, data cleanliness, and statistical significance of results.
- Utilize data visualization tools (Tableau, Looker, Data Studio) to explain data and models to clients and internal teams.
- Nurture client understanding of the importance of building & testing strategies across media buys; act as a consultative resource to help clients understand the quality of their internal testing processes.
- Integration of disparate data sources, technologies and platforms and gathering all the available data in order to improve client decisions.
- Use and deploy cloud resources (Google Cloud, Amazon Web Services, Azure) to perform analysis on large data sets.

Experience you already have / what you bring to the table




- Communication skills - must be able to communicate fluently in English both verbally and in writing.
- Strong analytical reasoning and problem-solving skills plus ability to work with incomplete or imperfect data.
- Relevant mathematics background including Statistics, Probabilities and Linear Algebra.
- Bachelor's degree in Computer Science, Mathematics, Engineering, Information Systems, Statistics or Economics.
- Basic knowledge for comprehension of HTML5 / CSS / JavaScript.
- Hands-on experience with typical machine learning algorithms (linear and logistic regressions, decision trees, clustering algorithms) and libraries (scikit-learn, matplotlib, tidyverse, dplyr, ggplot).
- Experience reading the documentation and understanding the technical requirements for implementation of diverse tools and platforms.
- Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision

📌 Junior Data Scientist (Buenos Aires)
🏢 Media.Monks
📍 Buenos Aires