You will be part of a LiveOps team in QuantumBlack. You will apply data science expertise to assure sustainable impact of ML solutions developed. 

You will work alongside the LiveOps Lead and the LiveOps Engineer (Data Engineering) to continuously improve and maintain models deployed, resolving model-specific issues and integrating user feedbacks.

As a Data Scientist you will:

• Perform a critical role in Supporting ML solutions and managing the work with responsibility to ensure stability, continuity and availability of the models, in addition to providing rapid response to incidents and escalated users queries.
• Maintain, test and improve existing machine learning solutions to ensure value capturing from model recommendations
• Monitor relevant metrics of machine learning models in production to identify potential issues, detect root causes and define resolution actions
• Identify, research and prioritize interventions to improve model efficiency based on feedback results from adoption
• Collect issues and feedbacks reported by end-users and collaborate with the scrum master to develop an intervention plan 
• Proactively detect potential risks stemming from model adoption and plan for resolutions with the scrum master
• Own and prioritize individual Incidents and ensuring the delivery of solutions in line with the Service Level agreements and Operational Level Agreements to deadlines and quality standards, providing regular update to key stakeholders and all levels
• Deliver documentation to agreed standards, on time and error free
• Provide regional cover and support, providing expertise and specialized domain knowledge to allow resolution of key incidents during business hours
• Identify proactive remedial strategies to prevent future data problems and to improve the quality of delivered solutions
• Proactive and reactive monitoring and alerting
• Own and contribute to individual Service Improvement items including incident reduction and automation