Principal Data Scientist (f/m/d)

About Us

We are VR Smart Guide - we enable entrepreneurs and self-employed professionals to follow their real passion by taking the administrative and bureaucratic workload from them. From writing invoices to tax reports, with our digital solution, built by a multidisciplinary, heterogeneous team with a lot of passion and drive, we make a difference on how small businesses operate.

Our headquarter is located close to Frankfurt, but we live a hybrid working culture with strong remote structures. Providing the Bahncard 100 we support gatherings and onsite meetings from our HQ.

Summary

As a principal data scientist, you will lead the development and execution of a data-driven strategy to disrupt the credit worthiness process for medium-small enterprises backed by one of the most trustworthy banking groups in Germany, the DZ BANK Gruppe.

You will work with the data platform, product, business, and engineering teams to identify, acquire, and integrate multiple data sources to inform and refine your model development. You will also develop, improve, and deploy machine learning models to predict credit risk; and become the stakeholder in implementing and maintaining the necessary infrastructure to support these models. In addition to your technical expertise, you will also play a key role in communicating your insightful findings and recommendations to the business & product stakeholders and the data platform counterparts. This high-impact, high-visibility role requires strong leadership skills and the ability to work effectively in a fast-paced, constantly evolving environment.

Your role and contribution

• Lead the development and execution of a data-driven strategy to disrupt the credit scoring process for medium-small enterprises
• Identify, acquire multiple data sources to inform and develop the models with the support of the Data Platform team and data engineers
• Own the end-to-end cycle of the data models, including development, maintenance, preparation for production, and conscious improvement, as well as the performance of the models from the business KPIs viewpoint
• Act as a stakeholder of the Data Platform to Implement and maintain the necessary infrastructure to support machine learning models
• Communicate findings and recommendations to stakeholders and partners
• Serve as a leader and mentor for a team of data scientists
• Work effectively in a fast-paced, constantly evolving environment
• Demonstrate strong leadership skills and the ability to drive results in a high-impact, high-visibility role
  
  

To be successful, you need to

• Stay up-to-date on the latest developments and best practices in data science and machine learning
• Proactively seek out new data sources and techniques to improve the accuracy and effectiveness of your models
• Collaborate effectively with team members and stakeholders to ensure that your work aligns with business goals and objectives
• Communicate complex technical concepts clearly and effectively to non-technical audiences
• Demonstrate strong problem-solving skills and the ability to think critically and creatively
• Own the KPIs of the data-science models, therefore responsible accuracy on creditworthiness assessment
  
  

Your profile

• A Master's or Ph.D. in a quantitative field such as data science, computer science, statistics, statistics, mathematics or proven relevant experience
• At least five years of experience in the credit scoring or financial services industry, developing/improving credit scoring systems
• Extensive experience with machine learning and data analysis, including experience developing and deploying machine learning models
• Strong programming skills, particularly in Python
• Experience working with large, complex datasets, and SQL
• Experience with distributed computing and data pipelines
• Strong communication and presentation skills, with the ability to translate technical concepts for a non-technical audience
• Strong leadership skills and the ability to foster close connection with peers and stakeholders
• A track record of delivering production-grade results in a fast-paced, constantly evolving environment
  
  

Our Benefits

• Your development - your plan. With us, you not only have a steep learning curve, and regular role development meetings, but we also support you with an educational budget for your personal and professional development
• A hybrid office model. For us, both remote work and office hours are part of a good team atmosphere
• 30 vacation days, plus on Christmas and New Year’s Eve