Data Scientist

• Leverage advanced machine learning theory and hands-on expertise in Python and SQL to deliver impactful data-driven solutions.
• Design, develop, and deploy deep learning models, collaborating with cross-functional teams to drive innovation and business value.
• Develop, implement, and optimize machine learning and deep neural network models for a variety of business use cases.
• Apply strong theoretical knowledge of ML algorithms, statistical modeling, and data science best practices to solve complex problems.
• Write efficient, production-quality Python code for data processing, feature engineering, model training, and evaluation.
• Design and execute complex SQL queries for data extraction, transformation, and analysis from large-scale databases.
• Collaborate with engineering and product teams to integrate models into production systems.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Stay current with the latest research and advancements in machine learning and deep learning.
• Participate in the full software development lifecycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance.
• Utilize GitHub workflows for version control, code review, CI/CD, and collaboration, ensuring best practices in code quality and project management.

Data Scientist – Machine Learning, Deep Learning

Senior Data Scientist

Senior Data Scientist – AI

Data Scientist, Agentic AI – Insurance Underwriting

Senior Data Scientist, Agentic AI – Insurance Underwriting

Senior Data Scientist, ML – Insurance Underwriting