Senior Data Scientist I

Position Summary

 MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science

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. This role mentor’s data scientists. It is an individual contributor role, expected to solve wide ranging business problems

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, evaluate and improve model performance.• Ensure model development follows quality, security , compliance, explainability 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)• Mentor Data Scientists• Independently lead design, solutioning & estimations

Knowledge, Skills and Abilities

Education

Bachelor’s degree in computer science, information technology or equivalent educational qualification

Technical Skills and Experience

• 8-10+ years of relevant experience

• 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

Good to Have (Preferred)

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