Job Description:
In your day-to-day role you will:
- Work with partners to translate business challenges into Data Science problems
- Mine data and extract information in PayPal’s Big Data environment
- Leverage Machine Learning algorithms to solve real-life problems
- Work with engineers and product managers to develop and deliver E2E data science driven solutions that bring real business value
- Analyze various kinds of data to conclude actionable insights
- Carry out independent research and innovation in new content and technological domains, while supporting existing projects.
What do you need to bring:
- Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 4+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experience
- Code writing capability in any programming language (Python, R, Java, Scala, etc.) and familiarity with relevant ML packages
- Has hands-on LLM project experience and deep understanding of LLM and AI agent will be a plus
- Hadoop experience (PIG, Hive, Spark)
- Strong analytical skills
- Strong communications in spoken and written English and Chinese
- Team worker, responsible, delivery-oriented
- Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.
Our Benefits:
Any general requests for consideration of your skills, please