The Senior Data Scientist will lead data analytics projects, mentor team members, and solve complex business problems using machine learning techniques and tools.
Description and Requirements
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
8-10+ years of relevant experience
Bachelors degree in computer science, information technology or equivalent educational qualification
• 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
• 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
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
8-10+ years of relevant experience
Bachelors degree in computer science, information technology or equivalent educational qualification
• 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
• 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
Top Skills
Azure Ml
Ocr
Python
PyTorch
Scikit-Learn
Spacy
TensorFlow
Transformers
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