<p><p><b>Qualification :</b></p><p><br/>B.E/ B.
Tech/M.
Tech/MCA / Bsc/ Msc</p><p><b><br/></b></p><p><b>JOB SUMMARY :</b></p><p><br/></p><p>Role intended for management of Data and Digital projects of Advanced analytics, data initiatives, other AA/ML based and Responsibilities :</b></p><p><br/></p><p>- Capturing requirements of projects related to Advanced analytics and Data Science<br/><br/></p><p>- Initiate and drive discussions of potential Data Science solutions with stakeholders of different business verticals<br/><br/></p><p>- Manage multiple projects and corresponding stakeholders ensuring timely and high-quality deliverables.<br/><br/></p><p>- Deliver components of digital business initiatives that identify, design, and implement technology solutions based on AA/ML.<br/><br/></p><p>- Post go-live monitoring and support to the end-to-end processes.<br/><br/></p><p>- Capturing and tracking functional requirements from business functions<br/><br/></p><p>- Train junior Data Science team required :</b></p><p><br/></p><p>- Excellent problem-solving skills<br/><br/></p><p>- Analytical bent of mind, should be able to work with situation with ambiguity and come up with rational solutions<br/><br/></p><p>- Project management experience, should be able to quickly decide and prioritize actions to high quality and time bound deliverables<br/><br/></p><p>- Demonstrated hands-on experience in Python/R<br/><br/></p><p>- Hands-on experience of working on numpy, pandas, seaborn, matplotlib, sklearn, etc is mandatory<br/><br/></p><p>- Knowledge about Machine Learning models (Classification & Regression) is mandatory<br/><br/></p><p>- Working knowledge of wide array of generally used models in classification and regression such as Decision Tree, Random Forest, Bagging, Boosting.<br/><br/></p><p>- Experience of Pharma will be an advantage but not mandatory.</p><br/></p> (ref:hirist.tech)