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Senior Data Scientist(m/w/x)

Düsseldorf
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Building and maintaining machine learning models for global risk, fraud, and identity management products at a data and technology company. Deep knowledge of statistical methods, ML algorithms (e.g., boosted trees), and Python/Scala proficiency required. High degree of autonomy, flexible working hours, remote work options.

Requirements

  • Bachelor's or Master's degree in data science, Statistics, Computer Science, or related field
  • Strong analytical, problem-solving skills, and attention to detail
  • Deep knowledge of statistical methods and ML algorithms (logistic regression, boosted trees)
  • Proficiency in Python or Scala
  • Experience with ML frameworks (XGBoost, PyTorch, scikit-learn)
  • Experience with data manipulation/extraction from data lakes/storages using SQL and Spark
  • Ability to analyze business/risk processes and translate into data models
  • Ability to interpret and apply analytical models in business context; demonstrated ability to analyze business processes and translate into data models for data-driven decision-making (ideal)
  • Experience in credit bureau or financial services environment (plus, not mandatory)
  • Strong communication of complex analytical results and actionable insights for non-technical stakeholders
  • Excellent communication and collaboration skills
  • Ability to work independently and manage multiple tasks

Tasks

  • Develop, implement, and maintain machine learning models
  • Develop, implement, and maintain advanced analytics solutions
  • Apply advanced analytics and machine learning models
  • Support data product development, monitoring, and maintenance
  • Drive innovation and improve product performance
  • Collaborate with Data Engineering, Product & Tech teams
  • Ensure data-driven decision-making
  • Enhance data products with analytical solutions
  • Monitor the Bureau Data Asset
  • Continuously improve the Bureau Data Ingestion Pipeline
  • Monitor model performance and quality
  • Monitor data product performance and quality
  • Perform ad hoc analyses for product development
  • Perform ad hoc analyses for decision-making
  • Understand functional requirements
  • Ensure proper implementation of analytical solutions
  • Ensure proper implementation of new product features
  • Improve processes
  • Ensure model accuracy and integrity
  • Perform rigorous testing and validation processes
  • Document methodologies, processes, and findings
  • Maintain transparency and reproducibility
  • Extract, manipulate, and analyze data from data lake
  • Support product development and monitoring activities
  • Support Legal and Compliance Teams
  • Address consumer complaints and questions regarding Scores
  • Address regulatory or policy changes
  • Stay current on industry trends
  • Stay current on ML and data science developments
  • Ensure timely delivery of high-quality models and analyses
  • Maintain and improve model accuracy and performance
  • Maintain and improve data product accuracy and performance
  • Contribute to new product features and enhancements
  • Support data-driven decision-making in Product Management
  • Provide insights and recommendations from data analysis
  • Support strategic decision-making

Work Experience

  • approx. 4 - 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • logistic regression
  • boosted trees
  • Python
  • Scala
  • XGBoost
  • PyTorch
  • scikit-learn
  • SQL
  • Spark

Benefits

Purpose-Driven Work

  • High degree of autonomy

Informal Culture

  • Motivated team

Competitive Pay

  • Great compensation package

Flexible Working

  • Flexible working hours
  • Remote work options
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