Senior Data Scientist at Creditstar Group, driving data strategy for financial products across Europe. Collaborating with teams to enhance decision-making through data-driven insights.
Responsibilities
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 learning and statistical modeling techniques.
Strong analytical and problem-solving skills.
Good project management skills.
Proactive attitude, sense of ownership, ability to work autonomously but also to coach other team members.
Having a startup mindset and willingness to work in a fast evolving environment.
Fluency in spoken and written English.
Passion about what you do.**
BONUS POINTS IF YOU HAVE:
Experience of project and people leadership.
Previous work experience in the Financial/Fintech sector.
Benefits
Dynamic, challenging, and rewarding work within a rapidly growing international company;
Chance to contribute to the business' decision-making processes and make a tangible impact;
Talented and fun international team who always has your back;
Supportive environment facilitating growth and achievement;
Flexible working hours;
Regular company parties and events;
Office with games, pool table, free snacks/drinks and the possibility to work remotely;
Powerful equipment and modern tools;
On-demand sponsorship for your professional development;
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