ValueLabs - Senior Data Scientist

Role & responsibilities :

1. Conduct exploratory data analysis (EDA), feature engineering, and model selection using statistical and ML techniques.

2. Stay updated with cutting-edge research in AI/ML and apply relevant advancements to real-world problems.

3. Develop and maintain the full ML lifecycle: data ingestion - preprocessing - training - validation - deployment - monitoring - retraining.

4. Build reproducible pipelines using version control (e.g., Git), experiment tracking (e.g., MLflow, Weights & Biases), and CI/CD for ML (MLOps).

5. Optimize models for inference speed, memory usage, and latency (e.g., model quantization, pruning, ONNX conversion).

6. Integrate models into web/mobile applications or backend systems.

7. Implement automated testing, monitoring, logging, and alerting for model performance and data drift

8. Collaborate with DevOps teams to ensure secure, compliant, and resilient deployment environments.

9. Comply with data protection regulations (GDPR, CCPA, HIPAA) and internal ethical guidelines.

10. Work cross-functionally with product managers, UX designers, and business stakeholders to define requirements and deliver value.

11. Document technical designs, model behavior, and system architecture clearly for both technical and non-technical audiences.

12. Apply secure coding practices and defend against adversarial attacks (e.g., evasion, poisoning).