In MetLife we are looking for a Lead Data Science to join our regional team. This is a techno-managerial role, a combination of skills and broad exposure to lead multiple Advanced Analytics initiatives that will build futuristic insurance models.
Lead and manage model development & deployment for a business / functional unit
Responsible for end to end solution design, contextualization and execution of the analytics use cases
Support the development of integrated data science-driven solutions
Provide oversight, troubleshooting, and support to programmers as they develop the solutions
Work with various development, QA and Test environment teams for the overall integration strategy
Educate, and mentor the team members on open source tools, capabilities, and best practices and provide inputs for career development
Commit to continuous improvement and learning both personally and in support of team members
Assist in establishing coding standards and best practices and perform code reviews and drive MetLife's programming standards
Manage project stakeholders in Business & Engagement Units
Knowledge, Skills and Abilities
Bachelor's degree or higher, preferred in Business, Engineering, Economics or related fields
Desired Experience : 5+ years of experience in Data Science field
Hands-on knowledge of the Python, PySpark, Big Data technologies Hadoop, Hive etc.
Advanced analytics concepts and algorithms including text mining, social listening, recommender systems, predictive modeling etc.
Proven project management skills, experience in AGILE methodology and taking end-to-end responsibility regarding quality and deadlines as well as timely escalation of issues
Advanced English level
Knowledge and Skills (plus) :
Experience with detailed level of data analysis using technical tools; Alteryx, Qlik, Power BI etc.
Experience in one or more cloud framework such as GCP, Azure PAAS, AWS etc.
Capable of building, articulating, and presenting new ideas to technical, non-technical, and business communities
Possess creativity and innovation skills, demonstrate the ability compare and analyze different tools and technologies, and make appropriate recommendations.