Senior Data Scientist With Optimization (Operations Research)

Senior Data Scientist With Optimization (Operations Research) Poland Apply now Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.   The candidate we are looking for will become part of the Data Science & AI Sub-CC Team working within the DS&AI competency. This role will be responsible for delivering projects mainly in the optimization and operations research area, from POCs to scaling up existing solutions, mostly in the Supply Chain domain for Top 500 FMCG companies.   Tasks:   Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. Understanding optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem. Act as ambassador of Lingaro at external Client’s projects.   Be able to deliver technical tasks based on business requirements, from data processing, feature engineering, hypothesis testing and presentation of findings.   Proactive approach for identified areas of improvement.  Following competency/company delivery standards.   Know-how and experience from projects in Supply Chain area, or optimization projects is a plus.      Requirements:   Minimum 5+ years of relevant professional experience. Commercial experience proven by successful projects in the area of data science. Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.) and eagerness to extend the knowledge. Strong Python coding skills, including using ML libraries and basic working knowledge of SQL.   Experience in feature engineering techniques and/or usage of external data sources helpful in forecasting problems Experience working in cloud technologies (MS Azure especially, GCP/AWS 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 in working with client-facing role, specially external clients. Great communication skills. Advanced English skills.   What Will Set You Apart:   Other programming languages knowledge like: R, SQL, for Python including Object oriented programming concepts.  Practical knowledge of using genAI.  Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability).  Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment. Good understanding of Microsoft Azure technologies or Google Cloud technologies. Strong statistical/mathematical background – understanding of the math behind ML methods. Good understanding and experience in operationalization of models using VMs. Experience in working in matrix organization. Knowledge about relational databases.   Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.