Senior Data Scientist (m/f/d)

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior Data Scientist (m/f/d)Full-timeEmployee Status: RegularRole Type: HybridDepartment: AnalyticsSchedule: Full TimeCompany DescriptionExperian is a global data and technology company that empowers people and businesses around the world. With our unique combination of data, analytics and software, we have established ourselves as one of the leading service providers for risk, fraud and identity management in the DACH region.Experian gives individuals better access to financial services such as loans, insurance, mobile phone contracts and online shopping. We help companies of all sizes and industries make smarter decisions, lend more responsibly and protect themselves and their customers from identity fraud and crime.We invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. We employ 25,100 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN). Our headquarters are in Dublin, Ireland.Job DescriptionIntroduction 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 solutionsMonitor the performance and quality of our models and data productsPerform ad hoc analyses to support product development and decision-makingCollaborate closely with Data Engineering, Product & Tech teams to understand functional requirements and to ensure proper implementation of analytical solutions, new product features and improve processesEnsure model accuracy and integrity through rigorous testing and validation processesDocument methodologies, processes, and findings to maintain transparency and reproducibilityExtract, manipulate, and analyze data from data lake to support various product development and monitoring activitiesSupport our Legal and Compliance Teams in cases of consumer complaints, questions regarding our Scores and regulatory or policy changesStay up to date on industry trends and new developments in machine learning and data scienceResponsibility, e.g. budget, key deliverables:Ensure timely delivery of high-quality machine learning models and analysesMaintain and improve the accuracy and performance of our models and data productsContribute to the development of new product features and enhancementsSupport data-driven decision making within Product ManagementProvide insights and recommendations based on data analysis to support strategic decision-makingQualificationsRequired qualification, expertise, skills: Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related fieldStrong analytical and problem-solving skills with keen attention to detailDeep knowledge of statistical methods and machine learning algorithms, especially logistic regression and boosted trees and its applicationProficiency in programming languages such as Python or ScalaExperience with machine learning frameworks such as XGBoost, PyTorch, or scikit-learnExperience with data manipulation and extraction from data lakes or large data storages using SQL and SparkProven ability to...