Senior Data Scientist

02 ago - Milano
Klarna

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What you will do

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- 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

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- 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

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- 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.

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