Data Scientist

📋 Description

• Develop predictive models for product quality outcomes, critical quality parameters, supplier
• Build audit-score prediction models to anticipate audit outcomes, identify potential findings
• Apply NLP, clustering, causal analysis, and machine learning to classify non-conformances, identify
• Develop analytics for food safety hazards, hygienic zoning, pathogen monitoring, environmental
• Create calibration and measurement-system analytics to identify overdue calibration risks
• Use NLP and Generative AI to extract insights from audit reports, CAPA narratives, consumer

🎯 Requirements

• 5–8+ years of experience in quality analytics, food safety analytics, manufacturing analytics
• Hands-on, production-level experience with Databricks and strong cloud expertise in Azure and/or
• Advanced Python skills, including pandas, NumPy, scikit-learn, time-series libraries, and
• Strong SQL and PySpark skills, with experience building scalable data pipelines and governed data
• Solid foundations in machine learning, statistics, time-series analysis, anomaly detection
• Experience designing end-to-end cloud-based data science and engineering architectures, including

🎁 Benefits

• Full-time employment opportunity.
• Remote working option in India, with Mumbai also listed as a location.
• International relocation assistance available for candidates relocating to the country, in
• Opportunity to work on advanced AI, machine learning, and industrial analytics projects with
• Exposure to large-scale manufacturing, quality, food safety, and global supply chain operations.
• Collaboration with multidisciplinary teams across quality, engineering, manufacturing, research