Senior Data Scientist
1 mese fa
Milano, Lombardia, Italia
Klarna
Tempo pieno
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Join to apply for the Senior Data Scientist role at Klarna. What you will do
* Design, develop, and ship production-grade machine learning models with full ownership, considering everything from memory footprint to latency.
* Dive 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.
* Build and maintain containerized models and develop model monitoring solutions to track metrics like variable drift.
* Create and manage CI/CD pipelines for machine learning models and contribute to the design and development of APIs.
* Utilize SQL proficiency to perform in-depth data analysis and feature engineering. Who you are
* Proven software engineering skills with experience designing, developing, and deploying ML models in production. Experience with deploying models on Scoring Platform is highly desirable.
* High proficiency in Python.
* Strong quantitative foundation with deep understanding of statistical analysis, probability, and a wide range of ML and DL models.
* Hands-on experience with containerization (Docker), CI/CD pipelines, and model monitoring.
* Experience in API schema design and development, and building containerized applications (e.g., using Docker).
* Excellent communication and stakeholder management skills.
* Experience working with consumer or partner Fraud Detection/Credit Underwriting would be a plus. Awesome to have
* An academic background in Physics, ML, Data Science, Mathematics, or Biology.
* Prior experience as a Senior Data Scientist, ideally within a regulated environment or fintech context. Please include a CV in English. Curious to learn more about Klarna and what it’s like to work here? Explore our career site Referrals increase your chances of interviewing at Klarna by 2x #J-18808-Ljbffr
* Design, develop, and ship production-grade machine learning models with full ownership, considering everything from memory footprint to latency.
* Dive 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.
* Build and maintain containerized models and develop model monitoring solutions to track metrics like variable drift.
* Create and manage CI/CD pipelines for machine learning models and contribute to the design and development of APIs.
* Utilize SQL proficiency to perform in-depth data analysis and feature engineering. Who you are
* Proven software engineering skills with experience designing, developing, and deploying ML models in production. Experience with deploying models on Scoring Platform is highly desirable.
* High proficiency in Python.
* Strong quantitative foundation with deep understanding of statistical analysis, probability, and a wide range of ML and DL models.
* Hands-on experience with containerization (Docker), CI/CD pipelines, and model monitoring.
* Experience in API schema design and development, and building containerized applications (e.g., using Docker).
* Excellent communication and stakeholder management skills.
* Experience working with consumer or partner Fraud Detection/Credit Underwriting would be a plus. Awesome to have
* An academic background in Physics, ML, Data Science, Mathematics, or Biology.
* Prior experience as a Senior Data Scientist, ideally within a regulated environment or fintech context. Please include a CV in English. Curious to learn more about Klarna and what it’s like to work here? Explore our career site Referrals increase your chances of interviewing at Klarna by 2x #J-18808-Ljbffr