Senior Data Scientist (m / f / d)

Job Description

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

Responsibility, e.g. budget, key deliverables :

Qualifications

Deep knowledge of statistical methods and machine learning algorithms, especially logistic regression and

boosted trees and its application

Preferred further skills (not mandatory) :

Additional Information

What you will get :

Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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