Senior Data Scientist

Creditstar Group is a rapidly growing international consumer finance company, headquartered in Tallinn, Estonia and operating in multiple European markets. At the core, we are a financial technology company that uses automated processes, algorithms and data analysis to make financial instruments easily available to a population of more than 175 million people in our target markets. We are a team of ambitious professionals who value innovation, speed, high growth and high performance. For more information on the group, please visit Our vision is to build and deliver digital banking products of the future. If you want to be part of this, here is your chance. YOUR POSITION: SENIOR DATA SCIENTIST YOUR ROLE: How about being a key player in driving the data strategy in the company? We are looking for a Data Scientist who will own and develop the data science framework for all our Products across the Group. As a Data Scientist you will be at the forefront of underwriting development, defining how and what data should be collected to improve our decision making and enable discovery of actionable insights that will improve the experience of our customers in 8 countries. You will be helping Product and Risk Managers make data-informed decisions and lead your own projects. With us, you can push your creative ideas forward and take care of making innovation in the data-driven world! Requirements YOUR DAILY ADVENTURES WILL INCLUDE: Build models based on data to predict customers’ payment behavior. Design A/B experiments, analyze the results, and provide decision recommendations. Work in tight cooperation with stakeholders to analyze complex data and provide data-driven insights for business-critical decisions. Review the work and provide feedback to data analysts and data scientists. Share your knowledge and provide training on best practices in data processing and analytics methodologies. Define data science strategy, communicate and align it with the management and other teams. Propose, assess, prioritize, and lead data science projects. Work closely with data engineers to ensure the best possible data infrastructure across products. Research and implement best practices and standards in Data Science across product teams. Requirements: At least 5 years professional experience related to data science. BS in Mathematics, Economics, Computer Science, Physics or Statistics. Excellent knowledge of SQL and Python (or a similar scripting language). Knowledge of machine...

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