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EXExperian

Senior Data Scientist(m/w/x)

Düsseldorf
Vollzeitmit HomeofficeSenior
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.

Anforderungen

  • 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

Aufgaben

  • 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

Berufserfahrung

  • ca. 4 - 6 Jahre

Ausbildung

  • Bachelor-AbschlussODER
  • Master-Abschluss

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

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

Benefits

Sinnstiftende Arbeit

  • High degree of autonomy

Lockere Unternehmenskultur

  • Motivated team

Attraktive Vergütung

  • Great compensation package

Flexibles Arbeiten

  • Flexible working hours
  • Remote work options
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Experian erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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