Role: This role is an exciting opportunity for innovation in the field of Statistics and Data Science to help the Global Clinical Operations function and transform the way in which Client (Pharma company) uses data drive decision-making in RD clinical operations. Understanding of clinical data is an added advantage.

• Implement sound model development methodology that includes clear model quality objectives and quality measurement methods from the onset.

• Ensure that machine learning models are appropriately trained and tuned for accuracy and relevance with analytical findings within the team.

• Ensure SDLC principles are followed, and good quality code (i.e. well documented, reusable, bug-free, etc) is delivered.

• Work with a team of data scientists, data engineers, business analysts, domain SMEs and analysts to manage efficient execution of the strategy and roadmap, using advanced analytics (descriptive / inquisitive / predictive), including hands-on support of all development activities.

• Appropriately train and maintain machine learning models for accuracy and relevance with analytical findings.

• Productize analytics solutions / Proof of concepts as features on Azure based analytics platform using systems understanding, engineering constraints and system performance needs.

• Develop compelling summaries that visualize the data through narrative dashboards to clearly tell a succinct story in easy-to-understand ways; Focus on the key findings and insights in alignment with stakeholders' goals/business needs with proper validation techniques to build confidence in the results