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Mid-level ML role, metro Bengaluru location, broad skill set and popular title increase competition.
Requires supply-chain and operations research expertise, limiting cross-industry transferability.
Explicit 2–4 years requirement plus mandatory ML, Python, and domain skills create stringent filters.
Own selection, building, and optimization of classifiers using advanced machine learning techniques within Blue Yonder’s Luminate Planning solutions.
Conduct data mining, process and cleanse data to ensure integrity for analytics, and integrate third-party data sources.
Provide ongoing support including ad-hoc analysis, addressing forecasting/data quality concerns, and mentoring junior team members.
Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.
2 to 4 years of relevant experience.
Proficiency in machine learning algorithms (e.g., Linear Regression, K-Means, Naive Bayes) and data science tools like Python, NumPy, Pandas, Matplotlib, Seaborn (at least two).
Experience with supply chain concepts, statistical analysis, operations research (integer, linear, stochastic programming), and query languages like SQL or Snowflake.
Experienced in applied machine learning within supply chain or related domains, familiar with operations research approaches.
Skilled in data processing, visualization (Streamlit, Power BI), and scripting/programming for data-driven insights.
Capable of mentoring less experienced associates and communicating technical results clearly to stakeholders.