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Mid-level data science role in Bangalore with a popular title and metro location.
Strong supply-chain and operations research requirements make cross-industry transferability limited.
Explicit 2–4 years plus mandatory ML tooling and supply-chain/OR domain skills raise selectivity.
Lead selection, building, and optimization of classifiers using advanced machine learning techniques within Blue Yonder’s Luminate Planning suite.
Conduct data mining, enhance datasets by integrating third-party sources, and refine data collection procedures to support analytic systems.
Perform data cleansing and integrity verification, address forecasting and data quality issues, and present analysis results to stakeholders.
Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.
2 to 4 years of relevant experience in machine learning and data science.
Proficiency in at least two data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn.
Experience with supply chain concepts, statistical analysis, operations research concepts, and SQL or Snowflake query languages.
Experienced in applying advanced ML algorithms like Linear Regression, K-Means clustering, and Naive Bayes in operational contexts.
Capable of mentoring junior team members and communicating complex analyses clearly to stakeholders.
Familiar with data visualization tools (e.g., Streamlit, Power BI) and orchestration or parallel processing tools (e.g., Airflow, Dask) to enhance data workflows.