Data Scientist

2 tygodni temu

Poland Lingaro Pełny etat
Essential: 2+ years of professional experience, including 1+ of DS experience.

Strong Python coding skills, including using Data Science and Data Engineering libraries.

Experience with Data Analysis, Data Mining, Statistics or Optimization methods.


Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability) Experience in working with Agile project (e.g.

Scrum, Kanban), including CRISP-DM delivery framework.

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 (Py Spark) Experience in Python OOP programming in DS context Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed Supply Chain business acumen and background gained in FMCG companies Experience working in cloud technologies e.g.


MS Azure, AWS Strong statistical/mathematical background Good understanding and experience in operationalization of models using VMs Experience in working in matrix organization ,[The person we are looking for will become part of Data Science & Optimization Team working within DS&AI competency.


Person will be responsible for delivering E2 E projects, from POCs to scaling up existing solutions, mostly in Supply Chain area for Top500 FMCG companies.

, Duties include:
, Business understanding, Data understanding/preparation, Modeling, 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.

] Requirements:

Python, SQL, Azure, Data engineering, Machine learning, Kanban, Communication skills, Py Spark, Spark, OOP, AI, AWS Additionally: Sport subscription, Training budget, Private healthcare.

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