
Data Scientist
3 days ago
Job Description :
Key Responsibilities :
- Design and implement robust data preparation pipelines tailored for manufacturing data.- Collaborate with engineering and domain teams to deliver scalable and reusable data solutions.
- Contribute to the architecture and development of a real-time recommendation system.
- Ensure production readiness, including model deployment and real-time inference capabilities.
- Work within a global, cross-functional agile team
Must-Have Qualifications :
years of overall experience, with at least 6 years in Data Science & ML.
- Strong Python programming and ML libraries (scikit-learn, pandas, etc.)
- Proven experience with manufacturing data and processes.
- Hands-on in building recommender systems.
- Experience in deploying ML models in production (real-time inference, MLOps).
- Proficiency in SQL, PySpark, data engineering pipelines.
- Exposure to cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
Mandate Experience :
- Prior experience in CPG/FMCG domain.
- Experience in Manufacturing domain / Logistics domain.
- Hands-on with real-time recommendation engines.
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