Data Scientist (middle +) in Fintech Farm

Location: Ukraine (or ±1 hour relative to Ukraine) Experience: 2−4 years in Data Science Employment: Full-timeResponsibilities:Develop and implement risk scoring models to assess client creditworthiness, including both application and behavioral models.Perform feature engineering processes to enhance the quality and efficiency of predictive models.Analyze data to identify new opportunities and trends that can be utilized to improve scoring models.Collaborate with development teams and business analysts to integrate models into business processes.Monitor and analyze the performance of models in production, propose and implement improvements.Requirements:2 to 4 years of experience in Data Science, with proven experience in building scoring models.Deep knowledge and practical experience in machine learning and statistical analysis.Experience with the Python programming language and libraries for data processing and machine learning (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).Skills in feature engineering and model selection for solving specific tasks.Ability to analyze large volumes of data and turn analytical insights into concrete actions.Experience with SQL and databases.Ability to work independently and as part of a team, as well as interact with non-technical colleagues.