Data Scientist (DS/Operations Research Experience)


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client-success director job

  • 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.



  • 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


We offer:

  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.

  • “Office as an option” model. You can choose to work remotely or in the office.  

  • 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.

  • Internal Gallup Certified Strengths Coach to support your growth.

  • 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.

  • 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.


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