Responsibilities
- Contribute to defining hypotheses and proposing analytic approaches based on available data.
- Collaborate on the development and execution of tests to validate hypotheses.
- Work on understanding data sources and extracting relevant information.
- Collaborate to perform data quality checks to ensure the effectiveness and reliability of data.
- Learn the definition of feature extraction schemas in collaboration with the team.
- Contribute to communicate findings and results through effective data storytelling resources.
- Assist in validating running solutions through hypothesis testing.

Requirements
- Currently pursuing a degree in Computer Science, Statistics, Mathematics or other quantitative fields
- Proficiency with Python
- Basic understanding of Python libraries: Pandas, Numpy, Matplotlib, Seaborn, GGPlot.
- Knowledge of machine learning libraries: Scikit-learn, XGBoost, Keras.
- Exposure to data visualization tools and frameworks.
- Familiarity with Linux/MacOS/Windows operating systems.
- Exposure to project task management platforms (e.g., JIRA,



Trello).
- Familiarity with code versioning using systems like Git.
- Understanding of testing methodologies (e.g., pytest).
- Awareness of virtualization concepts, such as Docker.
- Developing effective communication skills, both written and verbal, especially in discussing technical subjects.
- Demonstrating a strong interest and aptitude for learning new technologies and methodologies.
- Intermediate English proficiency, enabling participation in discussions on technical topics.
- Understanding of supervised and unsupervised learning concepts.
- Exposure to tabular data, time series, and tree-based algorithms (e.g., Random Forest, Gradient Boosting Machines).
- Exposure to communication tasks related to presenting analytic results.
- Familiarity or exposure to descriptive, diagnostic and prescriptive analytics.
- Understanding of correlation analysis techniques (e.g., scatter plots, correlati

📌 Junior Data Scientist (Córdoba)
🏢 Jobtailor
📍 Córdoba