Data Scientist - M2

Job Description Job Summary/Overview: The Data Scientist is responsible for managing data and digital projects, focusing on advanced analytics, data initiatives, and solutions that leverage Artificial Intelligence (AI) and Machine Learning (ML) technologies. Roles and Responsibilities Identify and document requirements for projects involving advanced analytics and data science. Initiate and facilitate conversations regarding potential Data Science solutions with stakeholders from various business verticals. Oversee multiple projects and associated stakeholders, ensuring that all deliverables are completed on time and meet quality standards. Contribute to the delivery of digital business initiatives by identifying, designing, and implementing technology solutions based on AA/ML methodologies. Provide post-launch monitoring and support for end-to-end business processes. Document and monitor functional requirements received from various business functions. Provide training and guidance to junior members of the Data Science team. Soft Skills Required Exceptional problem-solving abilities. Strong analytical mindset, capable of handling ambiguity and formulating rational solutions. Experience in project management, with the ability to make rapid decisions and prioritize tasks to ensure high-quality, timely deliverables. Demonstrated expertise in using Python or R for data science applications. Hands-on experience with essential libraries such as numpy, pandas, seaborn, matplotlib, and sklearn. Solid understanding of Machine Learning models for classification and regression tasks. Familiarity with widely used models in classification and regression, including Decision Trees, Random Forests, Bagging, and Boosting techniques. Experience in the pharmaceutical industry is advantageous but not required.