Data Scientist (DS/Operations Research Experience) in Lingaro

Essential: 

• 3+ years of relevant professional experience, including 2+ of DS/Operations Research experience. 

• Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.). 

• Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL

• Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have). 

• Familiarity with theory behind various machine learning concepts 

• Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban).

• Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment. 

• Experience in working with client-facing role. 

• Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope. 

• Great communication skills. 

 

Nice to have: 

• Other programming languages knowledge e.g., SQL, R 

• Experience working in Spark (PySpark) 

• Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed 

• Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability) 

• Strong statistical/mathematical background 

• 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. ] Вимоги: Python, SQL, Azure, GCP, Machine learning, Kanban, Requirements gathering, Communication skills, Spark, PySpark, AI Бонуси та переваги: Training budget, Private healthcare, Sport subscription.