Stack:
Python, R, Pandas, NumPy, SQL, Statistical Packages, BI Tools (Tableau, Power BI)
Role Summary:
Extract insights, build predictive models, and deliver data-driven solutions across clinical, operational, and statistical domains.
Key Responsibilities
- Analyze structured and unstructured datasets to extract insights.
- Build statistical and predictive models for clinical, operational, and business applications.
- Collaborate with AI/ML teams to enhance data-driven features.
- Present findings to technical and non-technical stakeholders.
Experience Requirements
- 2–3+ years in data science or analytics roles.
- Strong analytical skills and proficiency in Python or R.
- Knowledge of statistical modeling and hypothesis testing.
Preferred
- Clinical domain knowledge (for Clinical Data Scientists).
- Experience with big data frameworks (Spark, Databricks).