Building and deploying models that directly power PayPay products, with secondary responsibility for experimentation and data-driven insights.
Compensation
Annual salary paid in 12 installments (monthly). Based on skills, experience, and abilities. Reviewed once a year.
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
Bachelors in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, Physics, or equivalent
Nice to have: Masters or PhD in a quantitative field
Support the safe, accurate, and efficient operation of pharmacy services, including medication preparation, dispensing, inventory management, patient support, insurance processing, and pharmacy operations.
Compensation
Wage Range: $23.00 - $32.00 hourly - Sliding scale based on licensure, see notes below
Responsibilities
Assist pharmacists in the preparation, dispensing, and distribution of medications.
Process prescriptions from entry through dispensing.
Understand 340B and non-340B drug inventory systems.
Maintain patient records, prescription information, insurance data, and pharmacy documentation.
Lead end-to-end data engineering and BI pipeline development using AWS services, building dashboards in QuickSight, and ensuring data quality and performance.
Responsibilities
Design, build, and maintain AWS Glue ETL jobs
Develop and optimize AWS Step Functions workflows
Implement incremental loading and schema evolution
Own and evolve detection models and rules that flag market abuse across trading data, build partner‑facing surveillance reporting, and collaborate with partners to validate and tune detection logic.
Responsibilities
Own and evolve detection models and rules that flag market abuse
Own partner‑facing surveillance reporting end to end
Work directly with eval and prop‑firm partners to validate true and false positives
Collaborate with partners on custom reporting and solution feasibility
Translate fraud patterns into precise, tunable detection logic
Requirements
Master's degree in analytics or a related quantitative field
Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases, including high-volume, low-latency data processing
Responsibilities
Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases, including high-volume, low-latency data processing
Improve observability, alerting, and SLOs across data systems so pipelines are easier to monitor and issues are caught early
Optimize ETL/ELT workflows for performance, scalability, and fault tolerance
Develop dbt workflows to onboard Evaluation Partners and create end of day reporting for partner analysis
Build and support event-driven architectures and scalable platform components
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Senior Data Science Engineer / Senior Machine Learning Engineer (Applied Insights)NewPayPay · Japan
Mohs Medical Assistant Intern - SouthPark DermatologyNewTryon Medical Partners · Charlotte, US
Staff Product Data AnalystNewNinjaTrader · Chicago, US
Billing Specialist - WorkWell - HattiesburgNewCommunity Health Systems · Hattiesburg, US