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. Responsibilities include exploratory data analysis, feature engineering, monitoring model performance, and ensuring compliance with responsible AI guidelines. The role also involves mentoring junior data scientists and collaborating with various partners. Requires experience with Python, ML frameworks, NLP, and Generative AI.

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
  • Scikit-learn
  • Tensorflow
  • Pytorch
  • spacy
  • Transformers
  • OCR
  • 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
  • cloud AI/ML Services
  • ML Ops
  • Banking Financial Services and Insurance domain knowledge

What the JD emphasized

  • production grade
  • responsible use of AI guidelines

Other signals

  • production grade data and analytics solutions
  • machine learning
  • rule-based & machine learning models
  • feature engineering
  • model performance
  • responsible use of AI guidelines
  • Generative AI
  • Large language Models
  • prompt engineering