Lead design, build, validate and deploy production-grade rule-based and machine learning models using structured and unstructured data. Perform EDA, feature engineering, monitor and improve model performance, ensure model quality/security/compliance/explainability, collaborate with cross-functional partners, mentor data scientists, and independently lead solutioning and estimations.
Description and Requirements
GG11.1 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 mentors data scientists . It is an individual contributor role, expected to solve wide ranging business problems Experience 8-10+ years of relevant experience Education Bachelors degree in computer science, information technology or equivalent educational qualification 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)• Mentor Data Scientists• Independently lead design, solutioning & estimations 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.,• Mentorship experience• Storytelling skills ,Partner & Stakeholder engagement experience Good To have • Azure ML or cloud AI/ML Services• ML Ops• Banking Financial Services and Insurance domain knowledge
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
GG11.1 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 mentors data scientists . It is an individual contributor role, expected to solve wide ranging business problems Experience 8-10+ years of relevant experience Education Bachelors degree in computer science, information technology or equivalent educational qualification 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)• Mentor Data Scientists• Independently lead design, solutioning & estimations 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.,• Mentorship experience• Storytelling skills ,Partner & Stakeholder engagement experience Good To have • Azure ML or cloud AI/ML Services• ML Ops• Banking Financial Services and Insurance domain knowledge
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
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