The Data Scientist is responsible for uncovering insights from structured/unstructured data, conducting statistical analyses, and designing ML prototypes to validate feasibility.
What You’ll Be Doing
- Clean, transform, and prepare large datasets for analysis
- Conduct exploratory data analysis and hypothesis testing
- Build predictive and classification models
- Support ML engineers by designing feature engineering workflows
- Present insights to stakeholders through reports and dashboards
What We’d Love To See
- 2–5 years in applied analytics or machine learning research
- Statistical modeling and data experimentation
- Tools: Python (Pandas, NumPy, Scikit-learn), Power BI/Tableau, SQL
- Familiarity with Notebooks (Jupyter, Colab)
It’d Be Great If You Had
- A/B testing and metric definition
