Data Scientist I

MetLife MetLife · Insurance

Data Scientist role focused on building, validating, and deploying production-grade rule-based and machine learning models. Responsibilities include exploratory data analysis, feature engineering, model performance monitoring and improvement, and ensuring adherence to responsible AI guidelines. The role involves collaboration with various business and technology partners.

What you'd actually do

  1. Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data
  2. Perform exploratory data analysis, feature engineering
  3. Monitor, evalulate and improve model performance.
  4. Ensure model development follows quality, secutiry , compliance, explaiability and responsible use of AI guidelines
  5. Collaborate with multiple partners from Business,Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)

Skills

Required

  • Python
  • Statistics
  • hypothesis testing
  • Feature engineering
  • Modeling
  • Machine learning frameworks: SCikit-learn, Tensorflow, Pytorch
  • Natural language processing (NLP): spacy, Transformers, OCR
  • Generative AI: Large language Models, prompt engineering
  • Communication skills
  • analytical skills
  • structured problem-solving skills

Nice to have

  • Azure ML or cloud AI/ML Services

What the JD emphasized

  • production grade
  • machine learning models
  • responsible use of AI guidelines

Other signals

  • production grade data and analytics solutions
  • machine learning
  • rule-based & machine learning models
  • exploratory data analysis
  • feature engineering
  • model performance
  • responsible use of AI guidelines