Data Scientist (DS/Operations Research Experience)

Tasks:

• 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.

Requirements:

Essential: 

• 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, 1500+ 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.