Senior Data Scientist I

MetLife MetLife · Insurance

Senior Data Scientist role focused on designing, building, validating, and deploying production-grade rule-based and machine learning models, including Generative AI and LLMs. The role involves exploratory data analysis, feature engineering, model monitoring, and ensuring compliance with AI guidelines. It also includes mentoring junior data scientists and leading design and solutioning.

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, evaluate and improve model performance.
  4. Ensure model development follows quality, security , compliance, explainability 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.
  • Mentorship experience
  • Storytelling skills
  • Partner & Stakeholder engagement experience

Nice to have

  • Azure ML or cloud AI/ML Services
  • ML Ops
  • Banking Financial Services and Insurance domain knowledge

What the JD emphasized

  • production grade
  • machine learning models
  • Generative AI
  • Large language Models
  • prompt engineering
  • compliance

Other signals

  • production grade data and analytics solutions
  • machine learning models
  • Generative AI
  • Large language Models
  • prompt engineering