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Mid-level ML/data role in Bengaluru with common experience band and broad skillset attracts high competition.
Requires ML expertise plus supply-chain forecasting domain knowledge, limiting easy cross-industry transferability.
Multiple mandatory ML, NLP, SQL, and supply-chain skills increase screening rigidity.
Build, optimize, and deploy machine learning classifiers and advanced custom scripts to solve supply chain and forecasting business problems.
Perform data mining, cleansing, integration of third-party data, and data verification to ensure high-quality analytical datasets.
Address customer issues related to forecasting and data quality, conducting ad-hoc analysis and presenting results clearly to stakeholders.
3 to 6 years of relevant experience in data science/machine learning or related domain.
Strong proficiency in at least two data science toolkits including Python, NumPy, Pandas, Matplotlib, Seaborn.
Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means, Naive Bayes) and applied statistics (distributions, hypothesis testing, regression).
Experience or knowledge in supply chain concepts and operations research (integer, linear, stochastic programming).
Experienced in working with complex supply chain or digital commerce platforms involving forecasting and analytics.
Capable of independently handling multiple global stakeholders and managing customer escalations under pressure.
Demonstrates strong technical depth in advanced ML methodologies including LLM, NLP, Neural Networks, plus scripting and programming skills for automation and custom solutions.