Essential:
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3+ years of relevant professional experience, including 2+ of DS/Operations Research experience.
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Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.).
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Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL
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Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have).
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Familiarity with theory behind various machine learning concepts
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Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban).
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Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment.
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Experience in working with client-facing role.
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Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope.
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Great communication skills.
Nice to have:
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Other programming languages knowledge e.g., SQL, R
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Experience working in Spark (PySpark)
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Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed
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Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability)
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Strong statistical/mathematical background
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Experience in working in matrix organization
,[Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. , Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem. , Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, , Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements) , Creation and following of standards to improve competency quality. , Know-how and experience from projects in Supply Chain area, or optimization projects is a plus. ] Requirements: Python, SQL, Azure, GCP, Machine learning, Kanban, Requirements gathering, Communication skills, Spark, PySpark, AI Additionally: Training budget, Private healthcare, Sport subscription.
OOP PySpark Business Intelligence (BI) Agile feature-engineering Data Science Python Supply Chain Management Apache Spark Data Engineering Azure Manufacturing processes Google Cloud Platform (GCP) inventory SQL Machine Learning data-processing Scrum Kanban hypothesis-test cplex Model deployment gurobi