Data Scientist - Pharma - IIT/NIT/BITS

Overall:

- Ability to work with globally located stakeholders to understand business problem, available data and how both can be brought together to generate insights

- Co-ordinate with different teams to develop custom alogrithms, implement and monitor

- Good communication and interpersonal skills

- Experience of applying data science in life sciences or pharma industries will be an added advantage

Must have technical skills:

- Descriptive statistics

- Probability & probability distributions (Gaussian/non-Gaussian)

- Regression (linear/GLM/non-linear) techniques

- Classification techniques (Tree based methods - decision trees, random forests, etc., bagging, boosting, SVM)

- Unsupervised learning - clustering (K-means, hierarchical, DBScan)

- Coding: SAS, Python, R, SQL (Basics)

Good to have technical skills:

- Text mining/NLP

- Neural networks (ANN, RNN, CNN)

- Network analysis

- Coding/Cloud: SQL (advanced), Javascript, AWS/Azure

Background:

- Masters/PhD in Statistics, Mathematics, Economics, Computer Science, QR-OR

- If BTech, then from Tier 1 colleges