Generative AI & ML Data Scientist II

MetLif; Cary (NC); Hybrid; USD 90,000 - 115,000; Full time

Benefits offered by this job

Health plan

Vision insurance

Dental insurance

Life insurance

401(k) with match

Paid time off

Parental leave

Disability insurance

Employee Assistance Program (EAP)

Job summary

MetLife is seeking a Data Scientist II to design and deploy scalable data science, ML, Generative AI, and advanced analytics solutions that drive value across the analytics lifecycle. You will build production-grade models, conduct feature engineering, and translate insights into actionable business decisions.

The role supports governance, responsible AI, and MLOps practices while collaborating with cross-functional teams to ensure high-quality, scalable outcomes.

Qualifications

• Bachelor's degree in a quantitative field.
• 3-5 years of experience in data science, analytics, ML, or related disciplines.
• Hands-on experience with Python, SQL, statistics, hypothesis testing, feature engineering, and predictive modeling.
• Experience with Scikit-learn OR TensorFlow OR PyTorch.
• Experience with data wrangling and stakeholder engagement.
• Foundational knowledge of Generative AI including LLMs, prompting, embeddings, vector stores, and RAG.
• Strong analytical, communication, and problem-solving skills.

Responsibilities

• Design, build, validate, deploy, monitor, and optimize analytics, ML, and AI solutions.
• Perform data extraction, SQL development, data preparation, exploratory analysis, feature engineering, and model evaluation.
• Develop production-grade predictive and Generative AI solutions using structured and unstructured data.
• Support foundation model adaptation, prompt engineering, embeddings, vector databases, RAG-based AI applications, and agentic AI workflows.
• Utilize Databricks, Apache Spark, and cloud-based analytics environments where applicable.
• Generate actionable insights and communicate business impact to stakeholders.
• Monitor solution performance and drive continuous improvement.
• Leverage AI-augmented tools to enhance productivity with quality outputs.
• Collaborate with Business, Technology, Operations, and D&A capabilities teams.
• Ensure adherence to quality, security, compliance, explainability, MLOps, model governance, and responsible AI standards.

Skills

Python

SQL

Statistics

Hypothesis testing

Feature engineering

Predictive modeling

Generative AI

Communication

Education

Bachelor's degree in Mathematics, Statistics, Operations Research, CS, Engineering, Social Sciences or related quantitative field

Tools

Databricks

Apache Spark

Cloud analytics platforms

spaCy / Transformers

Job description

MetLife is seeking a Data Scientist II to design and deploy scalable data science, ML, Generative AI, and advanced analytics solutions that drive value across the analytics lifecycle. You will build production-grade models, conduct feature engineering, and translate insights into actionable business decisions.

The role supports governance, responsible AI, and MLOps practices while collaborating with cross-functional teams to ensure high-quality, scalable outcomes.