Data Scientist

Key Responsibilities: Develop, optimize, and maintain scalable data science and machine learning solutions using Python Apply object-oriented programming (OOP) principles to build clean, modular, and maintainable code Refactor and improve existing codebases for better performance, scalability, and readability Analyze large and complex datasets to generate actionable insights Collaborate with cross-functional teams including engineering, product, and business stakeholders Design and implement solutions for real-world supply chain challenges (e.g., forecasting, optimization) Integrate and utilize LLM APIs/endpoints where applicable Utilize Object-Oriented Programming principles to create scalable software solutions while managing version control effectively using GitLab. Demonstrate exceptional problem-solving capabilities by addressing challenging technical issues and providing effective resolutions.

Qualifications (Skills/Competencies): 5+yrs experience in Data Science. Proficiency in Python scripting, with a strong grasp of Object-Oriented Programming (OOP). Excellent analytical thinking and problem-solving skills, with a proven ability to work collaboratively in a team environment. Strong communication skills, capable of conveying complex technical concepts to non-technical stakeholders. Experience with GitLab for version control and collaboration on software projects. Demonstrated adaptability and creativity in addressing challenges and finding innovative solutions. Knowledge ofGenerative AI, LLM,