Design, build, validate, deploy and monitor production-grade rule-based and ML models using structured and unstructured data. Perform EDA, feature engineering, model evaluation and improvement while ensuring quality, security, compliance, explainability and responsible AI. Collaborate with business, technology, operations and D&A teams.
Description and Requirements
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
Knowledge, Skills and Abilities
Education
Experience
Technical Skills
Good To have
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
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
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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