Data Scientist I
MetLife
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Position Summary Role Value Proposition: Data Scientist plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical skills, machine learning. It is an individual contributor role Job Responsibilities Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data Perform exploratory data analysis, feature engineering Monitor, evalulate and improve model performance. Ensure model development follows quality, secutiry , compliance, explaiability and responsible use of AI guidelines 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) Knowledge, Skills And Abilities Education Bachelor’s degree in computer science, information technology or equivalent educational qualification Experience 3-5+ years of relevant experience Technical Skills 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. Good To have Azure ML or cloud AI/ML Services