Who we are

What will your job look like

Role: A Junior Data Scientist role is a learning-intensive entry point where you focus on executing well-defined technical tasks under the guidance of senior staff. While senior roles involve high-level strategy, a junior's daily work is often "detective work," spending 60–80% of the time on data preparation and cleaning to ensure quality for modeling.

Roles and Responsibilities:

1. Data Preparation: Collecting, cleaning, and "wrangling" messy datasets from various sources like SQL databases or APIs to make them ready for analysis.
2. Exploratory Data Analysis (EDA): Conducting initial analysis to spot patterns, anomalies, and correlations using statistical tests and visualizations.
3. Model Support: Assisting in building, testing, and refining machine learning models (e.g., regression, classification) and running hyperparameter optimization.
4. Insight Communication: Creating dashboards and reports in tools like Tableau or Power BI to present findings to non-technical stakeholders.
6. Continuous Learning: Researching new algorithms and staying updated with emerging AI and data science technologies.

Requirements

Education: Most roles require a Bachelor’s or Master’s degree in a quantitative field like Mathematics, Data Science, Computer Science, or Physics.

Technical Stack: Proficiency in Python (specifically libraries like Pandas, NumPy, Scikit-learn) and SQLis typically mandatory

Mathematical Foundation: A solid grasp o f statistics, probability, and linear algebra to understand model mechanics.

Soft Skills: Problem-solving, attention to detail, and the ability to explain complex technical concepts in simple terms