Staff/Senior Data Scientist, Algorithm (Risk & Fraud)
New
United StatesFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLKerasMachine LearningPyTorchTensorflowscikit-learn
Requirements
- 3+ years of experience using machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related technical field.
- Strong programming skills in Python and SQL for data manipulation and model development.
- Experience in payment risk, fraud detection, or e-commerce risk is a strong plus.
- Exposure to applying ML or LLM-based approaches to real-time systems is highly desirable.
- Strong analytical thinking and ability to solve complex, ambiguous technical problems.
- Experience working in cross-functional teams in a product-driven environment.
Responsibilities
- Translate business and risk challenges into machine learning problems and scalable algorithmic solutions.
- Build, train, and deploy ML models using advanced feature engineering, data pipelines, and experimentation frameworks.
- Analyze risk patterns and fraud behaviors to identify system weaknesses and propose data-driven solutions.
- Develop and enhance ML platforms and tools that streamline model development and deployment workflows.
- Collaborate with cross-functional teams to integrate models into production systems and real-time risk decisions.
- Continuously monitor model performance and iterate based on evolving fraud patterns and business needs.
View Full Description & ApplyYou'll be redirected to the employer's site
