Data Scientist with experience in developing scalable machine learning and data science solutions using Python and
Object-Oriented Programming. Skilled in analyzing complex datasets, building production-ready ML models, optimizing
code performance, and solving supply chain challenges. Experienced with Generative AI, LLM integration, GitLab, and
cross-functional collaboration to deliver data-driven insights, cutting-edge solutions, and high-quality software.
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.
Expected Outcomes
Deliver actionable insights and data-driven recommendations that significantly impact business strategies and outcomes.
Produce clean, effective, and well-documented code that aligns with project specifications and deadlines.
Enhance team collaboration and communication through proactive participation in meetings and brainstorming
sessions.
Achieve high levels of ada
📌 Data Scientist Bengaluru
🏢 Sourcingxpress
📍 Bengaluru
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