08 ago - 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.
Critically evaluate existing solutions and develop novel approaches where needed.
A foundational understanding of NLP architectures like Transformers is a plus.
/li liBuild and maintain containerized models and develop model monitoring solutions to track metrics like variable drift.
/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 liExcellent communication and stakeholder management skills.
/li liExperience working with consumer or partner Fraud Detection/Credit Underwriting would be a plus.
/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?
Explore our career site!
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