Job Description : Responsibilities : - Partner with the Clients' Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value.

- Examples include estimating marketing channel effectiveness or estimating sales force sizing.

- Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas.

- Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected - POC development or R package development for building internal capabilities and standardization of common modeling processes.

- Lead & guide the team independently or with little support to implement & deliver complex project assignments.

- Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities.

- Provide thought leadership by contributing to whitepapers and articles at the BU and organization level.

- Developing and delivering formal presentations to senior clients in both delivery and sales situations.

Technical Skills : - Data Scientist profiles with good experience in pharma and have worked with SQL and R / Python (for data science).

Please ensure the candidates have good experience working with : - Hypothesis Testing and Statistical Modelling.

- Supervised learning.

- Regression analysis (linear, logistic, linear mixed model).

- Decision tree-based models (Random Forest, boosting, XG boost).

- Classification (SVM, KNN).

- Unsupervised Learning.

- Clustering (K Means, DBScan).

- Dimension Reduction (PCA).

- Years of experience relevant to data science should be 5 years.

The person should have experience with commercial Pharma brand analytics.

Qualifications : - B.

Tech / Masters in a quantitative discipline (e.

Applied Mathematics, Computer Science, Bioinformatics, Statistics; Ops Research, Econometrics).

Experience : 5-6 years (ref:hirist.tech)