Senior Data Scientist

About The RoleDesign, develop, and deploy production-grade ML models, manage CI/CD pipelines, and perform data analysis. Proficiency in Python and MLOps experience required.End-to-End Model Ownership: Design, develop, and ship production-grade machine learning models with autonomy, considering factors like memory footprint and latency.Research and Innovation: Engage in statistical analysis, probability, and machine learning/deep learning models. Critically evaluate existing solutions and develop novel approaches when necessary. A foundational understanding of NLP architectures like Transformers is a plus.Engineering: Build and maintain containerized models and develop model monitoring solutions to track metrics like variable drift.Streamlined Deployment: Create and manage CI/CD pipelines for machine learning models and contribute to API design and development.Data Expertise: Utilize SQL proficiency for in-depth data analysis and feature engineering.RequirementsProficient software engineering skillsExperience with deploying models on Scoring PlatformHigh proficiency in PythonDeep understanding of statistical analysis and probabilityExperience with a wide range of machine learning and deep learning modelsHands-on experience with containerization (Docker)Experience with CI/CD pipelinesExperience with model monitoringExperience in API schema design and developmentExperience in building containerized applicationsExcellent communication and stakeholder management skillsExperience with consumer or partner Fraud Detection/Credit UnderwritingAcademic background in Physics, ML, Data Science, Mathematics, or BiologyPrior experience as a Senior Data ScientistExperience within a regulated environment or fintech contextRequired SkillsMachine learningDeep learningNLP architecturesTransformersStatistical analysisProbabilityContainerizationDockerCI/CD pipelinesAPI design and developmentSQLFeature engineeringCommunicationStakeholder managementSalary: 27720 - 32760 PLN