Essential Responsibilities:
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
Minimum Qualifications:
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
Preferred Qualification:
- Strong working knowledge of Excel, SQL and Python/R
- Partner with Product Managers and Engineers to define test hypotheses, success metrics, and experimentation frameworks
- Proactively identify opportunities for experimentation to optimize conversion rates, revenue, and user enablement
- Maintain documentation of experiments and contribute to building a culture of data-informed decision making
- Exploratory Data Analysis and expertise in preparing a clean and structured data for model development
- Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.)
- Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts
- Payments fraud domain knowledge is highly preferred, with an understanding of transaction flows, payment systems, and common fraud tactics.
- Experience in conducting & analyzing A/B tests to evaluate the impact of fraud detection models and mitigation strategies.
- Familiarity with common fraud data sources such as transactions, user behavior logs, device metadata, and third-party data
Our Benefits:
Any general requests for consideration of your skills, please