Advanced Analytics and Data Science provides customer-centric global technology solutions tailored to meet the needs of businesses across the enterprise, including Property and Casualty, Group, Investments, Global Corporate Security, Global Brand & Marketing, and Legal. Core initiatives deliver Analytics Business Engagement, Advanced Analytics Services, and Data Story Telling/Business Intelligence technologies to MetLife with historical, current and predictive views of business operations. The Open Source Technical Lead is key to driving the future for analytics delivery using cloud, open source technology, and industry standard deployment tools.
Responsible for the development of production ready scoring code for the batch processing modules and Flask-based REST API modules working along with the Data Science project teams. Ensure the code follows the Analytics guidelines and best practices established.
Responsiblefor the deployment readiness of machine learning code for batch processing and real-time requirements
Responsible for engaging MetLife Cornerstone team for the build and deployment process and testing to ensure the correctness of the build/deploy artifacts
Responsible for ensuring that the internal testing and results are reviewed that establishes the SLA requirements for the deployments
Responsible for the updates to the performance and coding best practices to improve the operational quality of the code
Essential Business Experience and Technical Skills:
Ten plus years of software development experience involving object-oriented programming languages such as Java/C#/Python
At least three years of experience managing a team of developers that demonstrates the use of software development lifecycle processes, implementing best practices for coding, code reviews and process management with tools such as JIRA. Highly motivated and creative problem solver; able to self-initiate and thrive in a results-oriented environment.
Demonstrated experience in Python software development, frameworks or full-fledged REST API applications, specifically using Web frameworks such as Flask, Django, CherryPy etc. Experience in Big Data platforms and specifically use of Spark, PySpark
Deployment experience that demonstrates clearly activities involving use of source code repository, build and deployment tools, preferably open source stack, and processes around code reviews, testing, and release management
Deployment experience with containerized applications, specifically REST services using Python using Docker and/or Kubernetis
Experience in Machine learning and analytics applications and packaged applications such as SAS
Experience with reporting and business intelligence applications such as Qlik, Power BI, Tableau
Experience with Big Data processing with HDFS, HIVE and NoSQL Databases
Experience in Service Integration and use of API Management tools such as IBM API Connect or others
Experience in Cloud based application development and deployment, especially in Azure
Internal Number: 110816
At MetLife, we put customers at the absolute center of everything we do. In fact, we believe technology will transform the customer experience and are investing nearly $300 million in new technologies that will help us innovate and develop new products and services to better serve our customers.We're actively seeking world-class talent for the GTO division, building a diverse, global and highly skilled workforce that is passionate about the same things we are — pushing ourselves to learn and grow, to be efficient, to share experiences and knowledge and to collaborate as a global team.