Description

In this role, you will focus on developing and implementing machine learning models while collaborating with various teams to enhance data products. Your day-to-day responsibilities will include monitoring model performance, conducting analyses, and ensuring data-driven decision-making.

Requirements

• •Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or related field
• •Strong analytical and problem-solving skills
• •Deep knowledge of statistical methods and machine learning algorithms
• •Proficiency in programming languages such as Python or Scala
• •Experience with machine learning frameworks such as XGBoost, PyTorch, or scikit-learn
• •Experience with data manipulation and extraction using SQL and Spark
• •Proven ability to analyze complex business and risk processes
• •Excellent German and English language skills
• •Ability to interpret and apply analytical models in a business context
• •Experience in the credit bureau or financial services environment
• •Strong ability to communicate complex analytical results
• •Excellent communication and collaboration skills
• •Ability to work independently and manage multiple tasks

Tasks

• •Develop and implement machine learning models
• •Create advanced analytics solutions
• •Monitor model performance and data product quality
• •Perform ad hoc analyses for product development
• •Collaborate with Data Engineering, Product, and Tech teams
• •Ensure proper implementation of analytical solutions
• •Improve processes and develop new product features
• •Test and validate models for accuracy and integrity
• •Document methodologies and findings for transparency
• •Extract and analyze data from the data lake
• •Support Legal and Compliance Teams with consumer inquiries
• •Stay updated on industry trends in machine learning

Tools & Technologies

Benefits