Senior Data Science Engineer / Senior Machine Learning Engineer (Applied Insights)
PayPay · Posted Jun 27, 2023
- Hybrid
- Full-time · Senior
- 5+ years
- Visa sponsorship
Lead end-to-end design, implementation, evaluation, and maintenance of machine learning models for prediction, recommendation, anti-fraud, etc. and lead architectural decisions for data science systems.
Compensation
Annual salary paid in 12 installments (monthly)
Responsibilities
- Own end-to-end design, implementation, evaluation, and maintenance of machine learning models for prediction, recommendation, anti-fraud, etc. from problem framing to production
- Lead architectural decisions for data science systems
- Process, analyze, and visualize user and merchant data, providing data-driven insights that influence product strategy for technical and business divisions
- Collaborate with data engineers, product managers, and stakeholders to build robust production systems
Requirements
- Bachelor's in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, Physics, or equivalent
- Nice to have: Master's or PhD in a quantitative field
- Nice to have: More than seven years of experience
- Nice to have: Experience with recommendation systems, deep learning, NLP, optimization, or anti-fraud systems
- Nice to have: Experience with AWS services such as Glue, SageMaker, Athena, and S3