Senior Data Scientist

Klarna; Milano; On-site; EUR 60,000 - 80,000; Full time

Job summary

A leading fintech company in Milan is seeking a Senior Data Scientist to design and ship production-grade ML models. The ideal candidate will have strong proficiency in Python and SQL, experience with containerization, and a solid understanding of statistical analysis. Join a dynamic team focused on innovative solutions in the fintech space.

Qualifications

• Experience designing, developing, and deploying ML models in production.
• High proficiency in Python.
• Strong quantitative foundation understanding statistical analysis and ML/DL models.
• Hands-on experience with Docker and CI/CD pipelines.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design, develop, and ship production-grade machine learning models.
• Conduct statistical analysis and evaluate existing ML solutions.
• Build and maintain containerized models and monitor metrics.
• Create and manage CI/CD pipelines for ML models.
• Utilize SQL for in-depth data analysis.

Skills

Software engineering skills

Proficiency in Python

Statistical analysis

Machine Learning (ML)

Deep Learning (DL)

Docker

CI/CD pipelines

API design and development

Communication skills

Fraud Detection experience

Education

Academic background in Physics, ML, Data Science, Mathematics, or Biology

Tools

SQL

Job description

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.

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