Data Scientist II

1 dia atrás


São Paulo, São Paulo, Brasil Signifyd Tempo inteiro
About the Role

We are seeking a highly skilled Data Scientist to join our team at Signifyd, a leading provider of e-commerce risk management solutions. As a Data Scientist, you will play a critical role in building and deploying machine learning models that identify and prevent fraud.

Key Responsibilities
  • Design and develop production-ready machine learning models that accurately identify fraudulent transactions
  • Collaborate with cross-functional teams to integrate machine learning models into our e-commerce risk management platform
  • Develop and maintain large-scale data pipelines to support machine learning model training and deployment
  • Work with data engineers to design and implement data warehousing and business intelligence solutions
  • Communicate complex technical concepts to non-technical stakeholders, including business leaders and product managers
Requirements
  • Bachelor's degree in Computer Science, Applied Mathematics, Economics, or a related field
  • Advanced degree (M.S. or Ph.D.) in an analytical field is a plus
  • At least 3+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with statistical analysis, data visualization, and machine learning algorithms
  • Strong programming skills in Python, Java, or other relevant languages
  • Experience with cloud-based data platforms, such as AWS or GCP
  • Excellent communication and collaboration skills
Preferred Qualifications
  • Experience with distributed computing frameworks, such as Apache Spark or Hadoop
  • Knowledge of data visualization tools, such as Tableau or Power BI
  • Experience with cloud-based machine learning platforms, such as Google Cloud AI Platform or AWS SageMaker
  • Strong understanding of e-commerce risk management and fraud detection concepts
About Signifyd

Signifyd is a leading provider of e-commerce risk management solutions, helping online retailers protect against fraud and ensure a seamless customer experience. Our team is passionate about using data science and machine learning to drive business outcomes and improve customer satisfaction.


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