You will interact with cross functional teams to:
- Design, develop and implement data-driven strategies and machine learning models for card auth optimization, Transaction expense optimization and improve PP payments platform availability and reduce latency
- Create innovative features and data for payment strategies and models, align with stakeholders and implement these capabilities
- Develop models and solutions using latest technologies like Deep learning, LSTM, reinforcement learning to bring best value to Consumers and Merchants.
- Analyze and monitor data science solutions, and communicate analysis results and complex concepts to conclude actionable insights
Job Requirements:
- Professional industry experience in a quantitative analysis role (2+ years preferred), with advanced degree (Masters or PhD.) in Math, Statistics, Operations Research, or Computer Science
- Proficiency in languages used for querying (e.g. SQL/Hive/Pig/Spark), preprocessing (e.g. Unix/Python), and statistical analysis (e.g. Python/R)
- Experience with machine learning algorithms and statistical methods
- Strong verbal and written communication skills to express data science concepts and solutions to product managers, data scientists, business partners of varying technical levels, and influence and negotiate to reach alignment on how to execute strategies and improve models.
- Team worker, responsible, delivery-oriented
- Knowledge about card issuers and card payment processing is a strong plus
