27 ott - Milano
Klarna
ppJoin to apply for the bSenior Data Scientist /b role at bKlarna /b. /p h3What you will do /h3 ul liDesign, develop, and ship production-grade machine learning models with full ownership, considering everything from memory footprint to latency. /li liDive deep into statistical analysis, probability, and machine learning/deep learning models. A foundational understanding of NLP architectures like Transformers is a plus. /li liCreate and manage CI/CD pipelines for machine learning models and contribute to the design and development of APIs. /li liUtilize SQL proficiency to perform in-depth data analysis and feature engineering. /li /ul h3Who you are /h3 ul liProven software engineering skills with experience designing, developing, and deploying ML models in production. Experience with deploying models on Scoring Platform is highly desirable. /li liHigh proficiency in Python.
/li liStrong quantitative foundation with deep understanding of statistical analysis, probability, and a wide range of ML and DL models. /li liHands-on experience with containerization (Docker), CI/CD pipelines, and model monitoring. /li liExperience in API schema design and development, and building containerized applications (e.g., using Docker). /li /ul h3Awesome to have /h3 ul liAn academic background in Physics, ML, Data Science, Mathematics, or Biology. /li liPrior experience as a Senior Data Scientist, ideally within a regulated environment or fintech context. /li /ul pPlease include a CV in English. /p pCurious to learn more about Klarna and what it’s like to work here?
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