About the role
We are looking for a Senior Data Scientist to build and deploy machine learning models, analyze large-scale financial datasets, and drive data-driven insights. You will own the end-to-end data science lifecycle, from data processing to model deployment and optimization, while collaborating with cross-functional teams.
Responsibilities:
- Develop and implement statistical models, algorithms, and machine learning/deep learning techniques for fraud prevention and credit underwriting for the FinTech/banking partners.
- Analyze large-scale datasets to identify patterns, anomalies, and trends to capture user behavior, including fraud, affluence, and credit risk.
- Stay updated on the latest fraud trends and technologies to proactively identify vulnerabilities and enhance fraud prevention strategies.
- Design experiments to evaluate and optimize the performance of existing AI models and algorithms.
- Own the end-to-end data pipeline, including data analysis, data processing, building the AI models, and monitoring already deployed models.
Requirements:
- Bachelor's degree or higher in applied mathematics, statistics, computer science, or a related field.
- 5+ years of experience in data science and working in a fintech startup or financial services-based company is preferred.
- Strong expertise in different AI verticals, including machine learning, statistical methods, deep learning, computer vision, and NLP.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.