The person we are looking for will become part of Data Science & AI Sub- CC Team working within DS&AI competency.  The person will be responsible for delivering projects mainly in optimization/ operations research area, from POCs to scaling up existing solutions, mostly in Supply Chain area for Top500 FMCG companies.Duties include: Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologiesUnderstanding optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problemAct 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. Must have: Minimum 5+ years of relevant professional experienceCommercial experience proven by successful projects in the area of data scienceExperience 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 problemsExperience 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 clientsGreat communication skillsNice to have: 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 deploymentGood understanding of Microsoft Azure technologies or Google Cloud technologies Strong statistical/mathematical background – understanding of the math behind ML methodsGood understanding and experience in operationalization of models using VMsExperience in working in matrix organizationKnowledge about relational databasesOur offer:Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.“Office as an option” model. You can choose to work remotely or in the office.  Workation. Enjoy working from inspiring locations in line with our workation policy. Great Place to Work® certified employer.Flexibility regarding working hours and your preferred form of contract.  Comprehensive online onboarding program with a “Buddy” from day 1.   Cooperation with top-tier engineers and experts.  Unlimited access to the Udemy learning platform from day 1.Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.Grow as we grow as a company. 76% of our managers are internal promotions.  A diverse, inclusive, and values-driven community.   Autonomy to choose the way you work. We trust your ideas.  Create our community together. Refer your friends to receive bonuses.  Activities to support your well-being and health.Social fund benefits for everyone. All Lingarians can apply for social fund benefits, such as vacation co-financing. Plenty of opportunities to donate to charities and support the environment.  Modern office equipment. Purchased for you or available to borrow, depending on your location.