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Senior Data Scientist(m/w/x)
Developing and maintaining ML models for risk, fraud, and identity management solutions at a global data tech firm. Deep knowledge of statistical methods, ML algorithms (e.g., boosted trees), and Python/Scala proficiency required. Flexible working hours, remote work options.
Anforderungen
- Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or related field
- Strong analytical and problem-solving skills with keen attention to detail
- Deep knowledge of statistical methods and machine learning algorithms (logistic regression, boosted trees)
- Proficiency in Python or Scala
- Experience with machine learning frameworks (XGBoost, PyTorch, scikit-learn)
- Experience with data manipulation and extraction using SQL and Spark
- Proven ability to analyze business and risk processes, translate into data models
- Ability to interpret and apply analytical models in business context
- Ideally, demonstrated analysis of business processes and translation into data models
- Experience in credit bureau or financial services environment (plus, not mandatory)
- Strong ability to communicate complex analytical results and provide actionable insights
- Excellent communication and collaboration skills
- Ability to work independently and manage multiple tasks simultaneously
Aufgaben
- Develop and implement machine learning models.
- Develop and implement advanced analytical solutions.
- Maintain machine learning models and analytical solutions.
- Monitor the performance and quality of models.
- Monitor the performance and quality of data products.
- Perform ad hoc analyses for product development.
- Perform ad hoc analyses for decision-making.
- Collaborate with Data Engineering, Product, and Tech teams.
- Understand functional requirements for solutions and features.
- Ensure proper implementation of analytical solutions.
- Ensure proper implementation of new product features.
- Improve team processes.
- Ensure model accuracy through rigorous testing.
- Ensure model integrity through validation processes.
- Document methodologies, processes, and findings.
- Extract, manipulate, and analyze data from the data lake.
- Support product development and monitoring activities.
- Support Legal and Compliance Teams on consumer complaints.
- Support Legal and Compliance Teams on Score questions.
- Support Legal and Compliance Teams on regulatory changes.
- Support Legal and Compliance Teams on policy changes.
- Stay updated on industry trends in machine learning.
- Stay updated on new developments in data science.
- Ensure timely delivery of high-quality ML models.
- Ensure timely delivery of high-quality analyses.
- Maintain and improve model accuracy and performance.
- Maintain and improve data product accuracy and performance.
- Contribute to developing new product features.
- Contribute to enhancing existing products.
- Support data-driven decision-making in Product Management.
- Provide insights from data analysis.
- Provide recommendations for strategic decision-making.
- Monitor the Bureau Data Asset.
- Continuously improve the Bureau Data Ingestion Pipeline.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Scala
- XGBoost
- PyTorch
- scikit-learn
- SQL
- Spark
Benefits
Sinnstiftende Arbeit
- Autonomy
Flexibles Arbeiten
- Flexible working hours
- Remote work options
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Senior Data Scientist(m/w/x)
Developing and maintaining ML models for risk, fraud, and identity management solutions at a global data tech firm. Deep knowledge of statistical methods, ML algorithms (e.g., boosted trees), and Python/Scala proficiency required. Flexible working hours, remote work options.
Anforderungen
- Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or related field
- Strong analytical and problem-solving skills with keen attention to detail
- Deep knowledge of statistical methods and machine learning algorithms (logistic regression, boosted trees)
- Proficiency in Python or Scala
- Experience with machine learning frameworks (XGBoost, PyTorch, scikit-learn)
- Experience with data manipulation and extraction using SQL and Spark
- Proven ability to analyze business and risk processes, translate into data models
- Ability to interpret and apply analytical models in business context
- Ideally, demonstrated analysis of business processes and translation into data models
- Experience in credit bureau or financial services environment (plus, not mandatory)
- Strong ability to communicate complex analytical results and provide actionable insights
- Excellent communication and collaboration skills
- Ability to work independently and manage multiple tasks simultaneously
Aufgaben
- Develop and implement machine learning models.
- Develop and implement advanced analytical solutions.
- Maintain machine learning models and analytical solutions.
- Monitor the performance and quality of models.
- Monitor the performance and quality of data products.
- Perform ad hoc analyses for product development.
- Perform ad hoc analyses for decision-making.
- Collaborate with Data Engineering, Product, and Tech teams.
- Understand functional requirements for solutions and features.
- Ensure proper implementation of analytical solutions.
- Ensure proper implementation of new product features.
- Improve team processes.
- Ensure model accuracy through rigorous testing.
- Ensure model integrity through validation processes.
- Document methodologies, processes, and findings.
- Extract, manipulate, and analyze data from the data lake.
- Support product development and monitoring activities.
- Support Legal and Compliance Teams on consumer complaints.
- Support Legal and Compliance Teams on Score questions.
- Support Legal and Compliance Teams on regulatory changes.
- Support Legal and Compliance Teams on policy changes.
- Stay updated on industry trends in machine learning.
- Stay updated on new developments in data science.
- Ensure timely delivery of high-quality ML models.
- Ensure timely delivery of high-quality analyses.
- Maintain and improve model accuracy and performance.
- Maintain and improve data product accuracy and performance.
- Contribute to developing new product features.
- Contribute to enhancing existing products.
- Support data-driven decision-making in Product Management.
- Provide insights from data analysis.
- Provide recommendations for strategic decision-making.
- Monitor the Bureau Data Asset.
- Continuously improve the Bureau Data Ingestion Pipeline.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Scala
- XGBoost
- PyTorch
- scikit-learn
- SQL
- Spark
Benefits
Sinnstiftende Arbeit
- Autonomy
Flexibles Arbeiten
- Flexible working hours
- Remote work options
Über das Unternehmen
Experian
Branche
FinancialServices
Beschreibung
The company is a global data and technology provider specializing in risk, fraud, and identity management.
Noch nicht perfekt?
- science + computing AG
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