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Mid-level ML role in Bangalore with broad toolset and popular data science title increases candidate competition.
Requires supply-chain and operations-research domain knowledge, moderately limiting cross-industry transfer despite transferable ML skills.
Explicit years, mandatory ML/tool proficiency, and supply-chain/OR domain knowledge create moderate screening filters.
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Onboard clients onto Luminate Planning solutions and provide ongoing Data Science as a Service (DSaaS) support.
Develop, optimize, and maintain machine learning classifiers and perform data mining, cleansing, and validation for analytics.
Address forecasting and data quality issues, conduct ad-hoc analyses, and mentor junior team members.
1 to 3 years of relevant experience in data science or related fields.
Bachelor’s or Master’s degree in Computer Science focused on Data Science.
Proficiency in at least two data science tools (Python, NumPy, Pandas, Matplotlib, Seaborn) and knowledge of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).
Experience with supply chain concepts, statistical analysis, operations research, and query languages such as SQL or Snowflake.
Experienced in applying machine learning and statistical methods specifically in supply chain contexts.
Capable of operational problem solving with strong data integration and visualization skills (Streamlit, Power BI).
Demonstrates ability to lead and mentor within a growing team environment supporting AI-driven supply chain solutions.