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Well-known employer and metro location attract mid-level applicants, balanced by supply-chain specialization.
Requires supply-chain and operations-research domain expertise, making cross-industry transferability limited.
Explicit 2–4 year requirement plus mandatory ML, supply-chain and SQL/Snowflake skills raises filter strictness.
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Lead client onboarding and support for Blue Yonder’s Luminate Planning suite through Applied Data Science (ADS) services.
Develop, optimize, and implement advanced machine learning classifiers and conduct data mining using modern tools and methods.
Manage data integrity and quality, perform ad-hoc analyses, and address forecasting and data quality issues while 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 in machine learning and data science.
Proficiency in at least two data science tools among Python, NumPy, Pandas, Matplotlib, Seaborn and knowledge of SQL or Snowflake query languages.
Experience with supply chain concepts, statistical analysis, and operations research (integer, linear, stochastic programming).
Experienced working with predictive modeling and machine learning algorithms such as Linear Regression, K-Means Clustering, and Naive Bayes in production settings.
Capable of integrating and refining diverse data sources and handling complex data processing for analytic systems in supply chain contexts.
Comfortable operating in client-facing roles requiring communication, problem-solving for forecasting issues, and leadership through mentoring junior staff.