MetLife

About the Role:

We are seeking a forward-thinking Data Scientist to join our Observability & Reliability team. This role will be instrumental in transforming how we leverage observability, ITSM, and business data to drive predictive insights, enable autonomous operations, and elevate the experience of our technology and business partners. 

Key Responsibilities: 

• Develop and deploy predictive models using observability, ITSM, and business data to proactively identify and resolve service issues. 
• Partner with engineering and operations teams to embed AI/ML capabilities into our AIOps and automation platforms. 
• Architect and maintain data pipelines that feed into our experience health data lake, enabling anomaly detection, pattern recognition, and real-time insights. 
• Advance our journey toward autonomous infrastructure by contributing to self-healing and event-driven automation initiatives. 
• Collaborate with stakeholders to define and track metrics that measure resiliency, reliability, and service health. 
• Support the evolution of our governance and analytics capabilities from manual to AI-enabled, with a focus on data quality and prediction accuracy. 

Qualifications: 

• B. S. Degree in Statistics, Mathematics, Computer Science or related field.
• Strong problem-solving skills with the ability to drive a project to conclusion.
• Excellent communication skills and the ability to translate complex data into actionable insights. 

Preferred:

• Proven experience in data science, machine learning, or applied statistics, preferably in IT operations or infrastructure domains. 
• Strong proficiency in Python, R, or similar languages, and experience with data platforms (e.g., Spark, Databricks, Snowflake). 
• Familiarity with observability tools (e.g., Elastic, NexThink, Prometheus, Grafana) and ITSM platforms (e.g., ServiceNow). 
• Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Ansible, Terraform). 

Strategic Alignment

This role directly supports our GI strategy pillars of Resiliency and Modernization by:

• Enabling predictive insights and AI-powered self-healing infrastructure.

• Advancing our AIOps framework and data lake initiatives to deliver proactive, intelligent service delivery.

• Supporting our mission to build sustainable technology advantages and position MetLife as a fintech leader.

It also reflects the New Frontier leadership principles by:

• Driving a commercial mindset through data-driven decision-making.

• Prioritizing for impact by focusing on high-value predictive analytics and automation.

• Moving with speed and discipline by embedding AI and observability into our core operations.