Data Scientist WR

Business and data understanding.
Modelling and preparing data.
Evaluation and deployment of solutions – following CRISP-DM methodologies.
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks.
Sharing know-how and working on projects as a SME of Supply Chain area, specifically in optimization projects.
Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements).
Creating project opportunities in the business (creating use-cases, understanding Customer needs, updates of offerings, success stories updates).
Creation and following of standards to improve competency quality.

At least 4+ years of professional experience.
Strong Python coding skills, including using ML libraries.
Experience with Data Analysis, Data Mining, Statistics, Optimization methods, Data Science projects.
Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability).
Experience working in cloud technologies (MS Azure especially).
Experience in CRISP-DM projects delivery.
Experience in working with Agile project (like Scrum, Kanban).
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.
English at least B2.
Knowledge of programming languages knowledge like: R, SQL is a plus.
Supply Chain business acumen and background gained in FMCG companies is a plus.
Good understanding of Microsoft Azure technologies is a plus.
Strong statistical/mathematical background – understanding of the maths behind ML methods is a plus.
Good understanding and experience in operationalization of models using VMs is a plus.
Knowledge about relational databases is a plus.

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.
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.

Data Scientist