Related skills
sql python data visualization tensorflow pytorch📋 Description
- Investigate complex datasets to diagnose model degradation and data quality issues.
- Perform exploratory data analysis to detect data drift and anomalies.
- Design and run diagnostic experiments and adversarial tests to reveal edge cases.
- Define validation checks, dashboards, and alerting to surface issues early.
- Serve as primary technical contact for data science issues and end-to-end resolution.
- Fine-tune hyperparameters and retrain models based on insights.
🎯 Requirements
- Bachelor\'s or Master\'s in Eng, CS, Math, Stats, or related field.
- 1–3 years in data science or technical support; strong debugging skills.
- Hands-on experience deploying ML models in production.
- Proficient in Python, SQL; frameworks: scikit-learn, TensorFlow, PyTorch.
- Strong analytical and problem-solving; clear communication.
- Domain experience in supply chain, logistics, or operations.
🎁 Benefits
- Medical and group medical insurance
- Term and accidental insurance
- Paid time off and maternity leave
- Online professional development courses
- Flexible working environment
- Fully stocked kitchen with snacks and beverages
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