🛠 Tech Stack

💼 About This Role

You'll investigate complex datasets and diagnose issues in machine learning models deployed for enterprise decision intelligence. Your core impact is improving model reliability and customer satisfaction by performing deep analysis, running diagnostic experiments, and implementing monitoring. This role offers a chance to work with a leading Decision Intelligence platform and collaborate across teams.

🎯 What You'll Do

• Investigate complex datasets to diagnose model degradation and data quality issues.
• Perform exploratory data analysis to detect drifts and anomalies.
• Design diagnostic experiments to reveal edge cases and failure modes.
• Implement validation checks, monitoring dashboards, and alerting mechanisms.

📋 Requirements

• Bachelor's or Master's in a quantitative field or equivalent experience.
• 1–3 years experience in data science, data analysis, or technical support.
• Hands-on experience with machine learning models in production environments.
• Proficiency in Python, SQL, and ML frameworks like scikit-learn, TensorFlow, PyTorch.

✨ Nice to Have

• Domain experience in supply chain, logistics, or operations.
• Experience with data visualization tools and monitoring/observability stacks.