Tasks:
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Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies.
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Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem.
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Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks,
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Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements)
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Creation and following of standards to improve competency quality.
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Know-how and experience from projects in Supply Chain area, or optimization projects is a plus.
Requirements:
Essential:
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3+ years of relevant professional experience, including 2+ of DS/Operations Research experience.
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Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.).
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Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL
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Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have).
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Familiarity with theory behind various machine learning concepts
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Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban).
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Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment.
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Experience in working with client-facing role.
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Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope.
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Great communication skills.
Nice to have:
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Other programming languages knowledge e.g., SQL, R
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Experience working in Spark (PySpark)
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Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed
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Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability)
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Strong statistical/mathematical background
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Experience in working in matrix organization
We offer:
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Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
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“Office as an option” model. You can choose to work remotely or in the office.
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Great Place to Work® certified employer.
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Flexibility regarding working hours and your preferred form of contract.
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Comprehensive online onboarding program with a “Buddy” from day 1.
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Cooperation with top-tier engineers and experts.
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Unlimited access to the Udemy learning platform from day 1.
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Internal Gallup Certified Strengths Coach to support your growth.
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Certificate training programs. Lingarians earn 500+ technology certificates yearly.
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Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
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Grow as we grow as a company. 76% of our managers are internal promotions.
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A diverse, inclusive, and values-driven community.
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Autonomy to choose the way you work. We trust your ideas.
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Create our community together. Refer your friends to receive bonuses.
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Activities to support your well-being and health.
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Plenty of opportunities to donate to charities and support the environment.
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Modern office equipment. Purchased for you or available to borrow, depending on your location.