onsite
Senior Data Scientist - ARQ
Data Scientist
Senior Data Scientist driving fraud detection and risk analytics for financial products, building end‑to‑end machine learning pipelines, and collaborating with product, engineering, and operations to deploy scalable solutions.
About the role
Key Responsibilities
- Design, develop, and productionize machine learning models for fraud detection, risk assessment, and financial crime prevention.
- Collaborate with product, engineering, and operations teams to translate business problems into data solutions and integrate models into production systems.
- Perform exploratory data analysis and feature engineering on large, heterogeneous financial datasets.
- Implement model monitoring, performance tracking, and continuous improvement processes.
- Communicate insights and model outcomes to stakeholders through clear visualizations and reports.
Requirements
- 5+ years of experience in data science or machine learning, preferably in finance or fintech.
- Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and SQL for data manipulation and analysis.
- Hands‑on experience with cloud platforms such as AWS (SageMaker, EMR, Lambda) and containerization tools.
- Strong background in statistical modeling, feature engineering, and model evaluation techniques.
- Ability to translate complex analytical results into actionable business recommendations.
Skills
pythonmachine learningsqlaws