Data Scientist (Optimization)

The person we are looking for will become part of Data Science & AI Sub- CC Team working within DS&AI competency.  

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 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. 

Must have: 

• Minimum 2-4 years for Regular, 4+ years for Lead 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

Nice 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 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