MTS 1, Machine Learning Scientist

Job Description

PayPal Lending ML team is looking for an experienced Machine Learning Scientist to help us develop and enhance machine learning/AI capabilities and innovate to grow PP Credit products. This is an excellent opportunity to join a team of intelligent and passionate engineers and scientists and to help shape the future of the Lending Business at PayPal. Meet our team PayPal Lending ML team is responsible for building ML/AI solutions that drive impact across PayPal. We build innovative solutions that interact with customers throughout the lending lifecycle with a strong focus on driving PP growth and business. Your way to impact Identify AI ML opportunities and build solutions that impact the business Explore and execute to get solid results Impact team, partners and business through PayPal values In your day to day role you will Lead ML Projects and Conduct research to identify new and innovative ML techniques. Innovate to create efficiencies for the team and the business. Work closely with other engineers , analysts and leaders to implement and opt imize ML models. Develop and implement best practices for ML model management, deployment, and monitoring. Collaborate with other teams to ensure ML models are integrated into the product and services. Assist with troubleshooting and resolving technical issues. Responsible for documentation, project tracking, and quality controls . What do you need to bring- The ideal candidate will possess a degree in engineering, science, statistics or mathematics with strong technical background in machine learning. We are looking for candidates who have excellent communication skills, an analytical mindset, and a passion for problem-solving. 7+ years of hands-on experience with problem-solving using Machine Learning Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, BigQuery , SQL, is required . Candidates should have in-depth knowledge of machine learning algorithms, explainable AI methods, and NLP. Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with Lending and Financial services is a plus.