Senior Data Scientist @ Winged IT

3 days ago

Warsaw, Czech Republic Winged IT Full time

Your skills and experiences: Proficient Software Engineering Skills: A strong track record of designing, developing, and deploying ML models in a production environment. Experience with deploying models on Scoring Platform is highly desirable; High proficiency in Python; Strong Quantitative Foundation: A deep understanding of statistical analysis, probability, and a wide range of machine learning and deep learning models; MLOps Experience: Hands-on experience with containerization (Docker), CI/CD pipelines, and model monitoring; API & Containers: Experience in API schema design and development and in building containerized applications (e.g., using Docker); Excellent communication and stakeholder management skills; Strong educational background in Computer Science, Information Technology, or a related field; Language proficiency: Advanced English (minimum B2 level). Senior Credit Data Engineer Our client: Klarna Location: Warsaw (hybrid work: 2-3 days in the office) Rate: 170 - 195 PLN per hour Cooperation model: B2B or Employment Contract Start date: ASAP Duration: long-term agreement Do you want to play a key role in revolutionizing the future of finance? Join Klarna - a global leader in deferred payments, with over 85 million active users and 2.5 million transactions processed daily As a pioneer in modern payment solutions, Klarna is developing innovative methods that streamline the shopping experience, enhance transaction security, and expand the availability of purchasing options.  We're seeking individuals eager to achieve remarkable results and share their bold vision to redefine the future of payments and fintech. Send us your CV - we can’t wait to meet you ,[End-to-End Model Ownership: Design, develop, and ship production-grade machine learning models. You will have the autonomy to own your solutions, considering everything from memory footprint to latency;, Research and Innovation: Dive deep into statistical analysis, probability, and machine learning/deep learning models. You'll be expected to critically evaluate existing solutions and, when necessary, develop novel approaches. A foundational understanding of NLP architectures like Transformers is a plus;, Engineering: Build and maintain containerized models and develop comprehensive model monitoring solutions to track metrics like variable drift;, Streamlined Deployment: Create and manage CI/CD pipelines for our machine learning models and contribute to the design and development of APIs;, Data Expertise: Utilize your SQL proficiency to perform in-depth data analysis and feature engineering.] Requirements: Python, Docker, CI/CD, Data science, MLOps, Machine learning

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