Introduction of role, purpose:
The Data Scientist plays a pivotal role in the development and application of advanced analytics and machine learning models to support the development, monitoring, and maintenance of our data products, including Scores, Attributes, and other Data Services. This role is integral to driving innovation and improving the performance of our products, working closely with our Data Engineering, Product & Tech teams ensuring data-driven decision-making.
The primary purpose of this role is to develop, implement, and maintain machine learning models and analytical solutions that enhance our data products. It also includes the monitoring of our Bureau Data Asset and the continues improvement of our Bureau Data Ingestion Pipeline.
Main focus of this role are product-related tasks with only limited or no involvement in client projects.
Main responsibilities, tasks, duties:
- Develop and implement machine learning models and advanced analytics solutions
- Monitor the performance and quality of our models and data products
- Perform ad hoc analyses to support product development and decision-making
- Collaborate closely with Data Engineering, Product & Tech teams to understand functional requirements and to
ensure proper implementation of analytical solutions, new product features and improve processes - Ensure model accuracy and integrity through rigorous testing and validation processes
- Document methodologies, processes, and findings to maintain transparency and reproducibility
- Extract, manipulate, and analyze data from data lake to support various product development and monitoring activities
- Support our Legal and Compliance Teams in cases of consumer complaints, questions regarding our Scores and regulatory or policy changes
- Stay up to date on industry trends and new developments in machine learning and data science.
Responsibility, e.g. budget, key deliverables:
- Ensure timely delivery of high-quality machine learning models and analyses
- Maintain and improve the accuracy and performance of our models and data products
- Contribute to the development of new product features and enhancements
- Support data-driven decision making within Product Management
- Provide insights and recommendations based on data analysis to support strategic decision-making