Data Scientist

About the job

Requirements Description and Requirements Key Responsibilities: • Apply advanced statistical algebra, linear algebra, and optimization techniques to improve model accuracy and performance. • Conduct hypothesis testing, feature engineering, and model validation using rigorous statistical methods. • Develop and implement advanced analytics and machine learning solutions using Python, R, SQL, and leading ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. • Apply statistical techniques, hypothesis testing, feature engineering, and modeling to deliver robust, data-driven insights and predictive models. • Leverage NLP technologies including spaCy, Transformers, and OCR to build intelligent text-processing and language-understanding solutions. • Drive innovation in Generative AI through the use of large language models and prompt engineering to create cutting-edge applications. • Ensure clear communication and structured problem-solving, translating complex technical concepts into compelling narratives for stakeholders. • Engage and influence business partners and stakeholders, providing actionable insights and fostering collaboration across teams. • Lead and develop talent, promoting engagement and growth within the team to build high-performing analytics and AI capabilities. • Develop predictive models for churn prediction, and lead scoring aligned with workflows. • Collaborate on Power BI dashboards to operationalize insights for business stakeholders. • Ensure adherence to GDPR and Regional Data policies for all ML workflows. • Mentor junior team members and lead technical design discussions.

Requirements

• Statistical Analysis
• Machine Learning
• NLP Technologies

Preferred Technologies

• Statistical Analysis
• Machine Learning
• NLP Technologies

About the company

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.