Data Scientist II

Requirements Description and Requirements MGCC GG 10.2 – Data Scientist II Position Title: MGCC GG 10.2 – Data Scientist II Function, Responsibility Level:

Reports to (Responsibility Level): GG 11 or above Supervises: Location: Global Grade: 10 Cost Center (85 series): Complexity: OSTG PID/s Load Mapping: 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, expected to independently function

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)

Knowledge, Skills And Abilities Education Bachelor’s degree in computer science, information technology or equivalent educational qualification

Technical Skills And Experience

• 5-8+ 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.,
• Partner, Stakeholder engagement experience

Good To Have (Preferred)

• Azure ML or cloud AI/ML Services
• ML Ops

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!