Data Scientist | Onsite

10 ott - Bardi
Engineering International Belgium

h3DESCRIPTION OF THE TASKS /h3ulliDevelopment, maintenance and documentation software, mostly in python, with a focus on implementing and testing data analytics applications, data engineering and data collection tools. /liliParticipate in data science projects led by ECAT scientific staff, and assume responsibility for software engineering tasks, including among others, requirement analysis, software development testing and documentation. /liliParticipation in project update and review meetings and other meetings with project stakeholders. /li /ulh3KNOWLEDGE AND SKILLS /h3ulliExcellent software development skills, in particular, experience implementing python libraries, software and services. /liliDemonstrated experience in implementing best practices for software testing, from unit and component testing to user acceptance, including negative testing and stress tests, to ensure software quality and reliability. /liliExperience deploying software tools and services, including definition of APIs, using DevOps tools and practices, CI/CD practices, e.g. in Gitlab or similar environments.



/liliExperience in debugging complex software in python, and troubleshooting aspects related to the deployment of software, such as setting up execution environments, resolving dependencies, installing drivers, analysing networking aspects and using GPU hardware. /liliExperience in containerization and orchestration technologies such as Docker, Kubernetes or equivalent for the deployment and scaling of data science applications. /liliAbility and willingness to stay up to date with technologies and libraries for machine learning and data science. /liliAbility to write clear technical documentation of software for users and other developers, in English language. /li /ululliAbility to design and implement robust data pipelines for the ingestion, cleaning, transformation and storage of diverse data sources. /liliStrong experience in testing software, including frameworks for defining and automating software tests, including regression testing and negative testing /li /ul #J-18808-Ljbffr

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