Senior Machine Learning Data Scientist
New
Remote work flexibility within the continental United StatesFull-TimeSenior
Salary135,000 - 165,000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSPythonSQLMachine LearningPyTorchData engineeringscikit-learn
Requirements
- 3+ years of experience building and deploying machine learning models into production environments
- Strong proficiency in Python and SQL
- Solid understanding of machine learning fundamentals
- Hands-on experience with ML frameworks such as PyTorch, scikit-learn, and XGBoost
- Experience working with large-scale datasets
- Experience with model monitoring, performance tracking, and lifecycle management
- Bachelor’s degree or higher in a quantitative field
Responsibilities
- Own the end-to-end machine learning model lifecycle, including problem definition, feature engineering, experimentation, training, evaluation, and production monitoring
- Design and develop fraud detection and risk assessment models using large-scale transactional and behavioral datasets
- Translate complex fraud and user behavior patterns into well-defined ML problems and measurable success criteria
- Build and maintain scalable feature engineering pipelines to support production-grade machine learning systems
- Collaborate with ML engineers on model deployment, infrastructure integration, and production readiness
- Monitor model performance in production, identifying data drift, degradation, and retraining needs
- Partner with product, engineering, fraud operations, and leadership teams to define fraud prevention strategies
- Conduct rigorous experimentation to improve model accuracy, precision, and recall in real-world environments
- Document models, methodologies, and evaluation results to ensure transparency and reproducibility
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