We are seeking a highly skilled Senior Data Scientist with a deep understanding of advanced machine learning techniques and frameworks. The ideal candidate will have extensive experience in Python, graph neural networks, and scalable machine learning pipelines. If you are passionate about developing innovative solutions and driving impactful projects, we want to hear from you!

Key Responsibilities:

• 5+ years experience in developing and optimizing machine learning models using Python with TensorFlow, Keras, and/or PyTorch.
• Expertise in Graph Neural Networks (GNNs) for node and link prediction, graph embedding, and graph-based classification.
• Proven experience in customer segmentation and/or recommendation systems tailored to client needs.
• Work with transformer models (e.g., BERT, GPT) in real applications, particularly within GenAI workflows.
• 5+ years experience in building and maintaining scalable ML pipelines using tools such as Kubeflow, MLFlow, Vertex AI, and SageMaker.
• 5+ years experience in processing and analyzing very large datasets using Spark or similar frameworks.
• Working with vector databases (e.g., Pinecone) for embedding-based applications including search and similarity tasks.
• Utilize GCP Services to deploy models at scale, particularly BigQuery and Vertex AI.

Nice to Have:

• Experience with GraphRAG and Knowledge Augmented Generation (KAG).
• Knowledge of Deep Neural Networks, Multi-task Learning (MTL) and AdTech.

Additional Details:

Subsidiary: PayPal

Travel Percent: 0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit.

Our flexible hybrid work model offers 3 days in the office and 2 days at your choice of office or home, ensuring a balance of in-person and remote work.

Our Benefits:

We offer benefits to support your financial, physical, and mental health, including flexible working arrangements, employee stock options, health and life insurance, and more. To learn more, please visit our benefits page.

Who We Are & Commitment to Diversity:

PayPal is committed to an inclusive environment and provides equal employment opportunities to all. We support diversity and inclusion through various initiatives and accommodations.

Belonging at PayPal:

We strive to create a workplace where everyone feels accepted and valued. We encourage all qualified candidates to apply, and we are dedicated to fostering a sense of belonging for all employees.