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Known enterprise brand, metro location, mid-level ML role with broad requirements; high competition.
Requires supply-chain domain knowledge and OR skills, limiting transferability across industries.
Explicit 4-7 years and mandatory ML, supply-chain and Python/Snowflake skills required.
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Onboard clients to Blue Yonder’s Luminate Planning suite and provide ongoing support via Applied Data Science team.
Build, optimize, and deploy advanced machine learning classifiers and data mining solutions to solve supply chain business problems.
Mentor junior team members and address customer forecasting and data quality issues through analysis and coding.
4 to 7 years of relevant data science or machine learning experience.
Proficiency in at least two data science toolkits such as Python, NumPy, Pandas, Matplotlib, or Seaborn.
Strong understanding of machine learning algorithms including Linear Regression, K-Means Clustering, and Naive Bayes.
Bachelor’s or Master’s degree in Computer Science with focus on Data Science.
Experienced in applying machine learning and AI techniques in supply chain contexts with operational impact.
Comfortable with both advanced analytics and client-facing roles requiring communication and leadership.
Skilled in integrating diverse data sources and improving data quality for analytic systems.