Data Scientist
Objective: Deliver actionable insights and predictive models to solve business problems.
Responsibilities:
- Analyse structured and unstructured data to identify trends and patterns.
- Build and validate machine learning models (classification, regression, clustering, etc.).
- Communicate findings through reports and visualizations.
- Collaborate with business teams to define problem statements and success metrics.
- Deploy models and monitor performance in production environments (if needed).
Requirements:
- Proficiency in Python or R, with libraries like scikit-learn, pandas, NumPy, etc.
- Experience with ML lifecycle: data prep, modelling, evaluation, and deployment.
- Familiarity with cloud ML platforms (AWS SageMaker).
- Strong statistical and analytical thinking.
- Bonus: Experience with Model Deployment
- Hybrid SCBD (Jakarta Selatan)