PayPal Senior Data Scientist – Infrastructure & Enablement 

Ireland, Dublin 

256056165

Job Description:

• Collaborate with x-functional teams to translate business challenges into data science problems, transform data into analytical data assets, data products and actionable intelligence for faster decision making on one of the largest data platforms in the world. Responsible for requirement gathering, data model design, data ETL process design, data product development and maintenance.
• Supports PayPal business units by providing data in a ready-to-use form to data analysts, data scientists and engineers for system/business insights, predictive analytics, machine learning, etc. Influence data instrumentation based on business requirement understanding.
• Owns and is accountable for the design and development of a data solution feature or a data pipeline with high reliability, stability, scalability, and performance.
• Design or develop data model and enrich the analytical data sources for further usability and availability by adopting advanced & cutting-edge technology.
• Establish comprehensive monitoring framework, proactively identifies, investigates, and resolves data issues and challenges. Skilled in identifying root causes and providing solutions.
• Communicates effectively, able to connect complex technical concepts/information and businessrequirements/implications.

Preferred Qualification:

• Master or equivalent degree in Data Science, Mathematics, Statistics, Computer Science and Engineering, or a related field.
• Strong SQL skill, good at transform business knowledge into analytical data assets; experience with operational data ETL, data warehouse/data mart building is a big plus; prior experience with Teradata, Hadoop, or Google Cloud is a big plus.
• Strong data analytics background, knowledge of statistical modeling and data modeling. 2+ years’ experience in data science, data development and quantitative optimization.
• Experienced with report analysis and development using business intelligence tools such as Tableau. Able to pick up new programming skills quickly.
• High proficiency in fundamental technical skills (Python, R), experience / knowledge in Machine Learning and feature generation is a plus.
• Experience with product design and product management is a big plus.
• Highly skilled in drawing relevant conclusion from analysis; relating analysis to business outcomes and strategic goals.
• Strong interpersonal skills and capability to work successfully in a collaborative environment
• Quick-thinker, fast learner, wide general knowledge, problem solver
• Team worker, responsible, delivery-oriented, take ownership of the work

Our Benefits:

Any general requests for consideration of your skills, please