Manager, Data Scientist

Inviting applications for the role of Manager, Data Scientist
We are looking for data scientists responsible for solving business problems like forecasting, segmentation, classification using statistical and data science techniques. Candidate should have experience as a Data Scientist with extensive experience in analytical modelling and is able to work independently right from understanding the business problem to be solved through the development & deployment of models. Experience in Life sciences and Health care industry preferred.
Responsibilities
Performing data analysis by integrating data from different data sources
Able to understand various data structures and common methods in data transformation
Participating and add value throughout data life cycle - data capturing, model inputs
Developing advanced statistical models, machine learning methods (Random Forest, Decision Trees, SVM, NLP, Gradient Boosting, Supervised/Unsupervised Learning, Clustering, classification and regression modeling) & deploying these models
Should have expertise on predictive modeling techniques and methods
Should have expertise on technical tools like Python, R, Advance SQL, Alteryx, MS Office. Good to have exposure to BI tools like Tableau, Power BI etc.
Should be able to develop the model and incorporate feedback & deploy the model in production
Ability to interact with the business to identify use cases to be solved.
Has worked extensively in the life sciences analytics space with hands on experience in LSH domain under consulting analytics
Qualifications we seek in you
Minimum Qualifications
Experience in statistical and data science techniques
Python, Alteryx, SQL, MS Office tools, R
Excellent exposure to data science, statistical and modeling techniques
Excellent communication and presentation skills
BE/B- Tech, MCA, MSc, MBA

Preferred Qualifications/ Skills
Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations
Flexibility to adapt to a variety of engagement types, working hours and work environments and locations
Superb communication and negotiation skills