Data Scientist (DS/Operations Research Experience)

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.

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

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.