data scientist in supply chain

Описание: Lingaro provides data, AI, consulting, technology advisory, design, learning technology, and intelligent operations services. Its Data Science & AI team delivers optimization and operations research solutions, primarily for supply chain projects serving major FMCG companies. Задачи: Deliver projects in optimization and operations research, from POCs to scaling existing solutions, mainly in the Supply Chain domain; Apply CRISP-DM methodologies across business understanding, data understanding and preparation, modeling, evaluation, and deployment; Apply linear, integer, and nonlinear programming and heuristics to find optimal business solutions; Act as a Lingaro ambassador on external client projects; Deliver technical work based on business requirements, including data processing, feature engineering, hypothesis testing, and presentation of findings; Identify areas for improvement proactively; Follow competency and company delivery standards. Требования: Have 5+ years of relevant professional experience; Have commercial experience demonstrated through successful data science projects; Have experience with optimization methodologies and optimization libraries such as CPLEX, Gurobi, and ortools; Have strong Python coding skills, experience with ML libraries, and basic SQL knowledge; Have experience with feature engineering techniques and/or external data sources for forecasting problems; Have experience with cloud technologies, especially MS Azure; Understand the theory behind various machine learning concepts; Have experience delivering CRISP-DM projects and working in Agile environments such as Scrum or Kanban; Have experience in client-facing roles, especially with external clients; Have great communication skills; Have advanced English skills; Nice to have: R, SQL, and Python programming including object-oriented programming concepts; practical knowledge of GenAI; experience applying Data Science/Machine Learning methods to Supply Chain; business requirements gathering and transformation into technical plans; data processing, feature engineering, model evaluation, hypothesis testing, and model deployment; Microsoft Azure or Google Cloud technologies; strong statistical and mathematical background; model operationalization using VMs; experience in matrix organizations; relational databases; GCP/AWS experience. Условия: Stable employment; Office as an option; Workation in line with the workation policy; Flexible working hours and choice of contract type; Comprehensive online onboarding with a buddy from day one; Cooperation with top-tier engineers and experts; Unlimited access to Udemy from day one; Certificate training programs and upskilling support; Capability development programs, Competency Centers, knowledge-sharing sessions, community webinars, and 110+ training opportunities yearly; Referral bonuses; Well-being and health activities; Modern office equipment purchased for employees or available to borrow, depending on location.