Posted:6 days ago|
Platform:
Work from Office
Full Time
Job Summary What you need to know about the role- 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. Job Description 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 Your day to day 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. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.
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