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• Communicating with internal and external clients to understand and define business needs • Initial project analysis, setting up project activities in the data science area and monitoring their delivery • Implementing, validating and maintaining predictive, prescriptive and generative (foundation) models with a focus on big data • Evaluating modelling results and communicating the results to technical and non-technical audiences • Working with both open source and proprietary technologies (such as IBM Cloud, Google Cloud Platform, Microsoft Azure, AWS…) • Assisting clients in leveraging their data resources and acting as an advocate of data-driven application development • Working in an agile, collaborative environment, partnering with other scientists, engineers, consultants and specialists of all backgrounds and disciplines to bring analytical rigor and statistical methods to the data-drive application development |
Required Technical and Professional Expertise
• You have at least 2 years of experience in the data science field • You have a strong understanding of the core data science algorithms and statistics fundamentals • You’re proficient at at least one of the key programming languages used in data science such as R or Python (Python is preferred) • You have a demonstrated knowledge of data manipulation, data mining and a variety of supervised and/or unsupervised modeling techniques • You have strong technical and analytical abilities, a knack for driving impact and growth • You’re comfortable with solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues • You have a proven record of transforming user requirements into production-ready analytical applications • You are able to communicate with a wide range of audience in both English and Czech |
Preferred Technical and Professional Expertise
• You thrive on teamwork and have excellent verbal and written communication skills • You have experience with NLP techniques and generative AI • You have a solid knowledge of one or more cloud computing platforms such as IBM Cloud, Microsoft Azure, Google Cloud Platform, or AWS • You have experience with additional programming languages or other data science tools, such as big data processing frameworks |
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