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Popular data scientist role, Gurgaon metro, broad ML/analytics skillset and unspecified experience increase competition.
Core ML and data skills are transferable, but ERP and food-industry context increases domain specificity.
Mandatory technical skills (Python, ML, Power BI) and tool preferences without years make shortlisting moderately strict.
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Own end-to-end data processes including mining, cleaning, and verifying data integrity for global business use.
Develop and operationalize data workflows with advanced AI/ML algorithms such as OCR, Generative AI, and forecasting models to support business needs.
Collaborate with global leaders and regional teams to translate data analytics into actionable business insights and support digital transformation efforts.
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field.
Proficiency in Python coding and experience with data visualization tools like Power BI.
Demonstrated experience with data cleaning, visualization, machine learning models, and AI algorithms.
Work Experience Required: Not explicitly mentioned in the JD.
Strong analytical skills combined with practical experience in machine learning, time series forecasting, and data transformation workflows.
Ability to communicate complex technical concepts clearly to business stakeholders across global and cultural environments.
Experience or knowledge in cloud platforms (Azure), ERP systems (SAP), and backend development are preferred but not mandatory.