Senior Data Scientist

PayPal

full-time

Posted on: 9/4/2025

Location: California • 🇺🇸 United States

✨ AI Apply

💰 $123,500 - $212,850 per year

Senior

AWSAzureBigQueryCloudDistributed SystemsETLGoogle Cloud PlatformJavaPythonPyTorchTensorflow

About the role

Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML.
Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering.
Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP.
Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms.
Integrate AI/ML models into cloud applications and ensure seamless operation in production environments.
Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML.
Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business use cases.
Perform model tuning, evaluation, and monitoring for performance and accuracy improvements.
Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning.
Ensure security, scalability, and performance of ML models deployed in production.

Minimum of 5 years of relevant work experience
Bachelor's degree or equivalent experience
Master's degree or higher preferred in Computer Science, Mathematics, or related field
Proven experience in developing and implementing solutions in machine learning and AI-related spaces
Strong programming skills in languages such as Python, Java, or C++
In-depth knowledge of machine learning frameworks and libraries for analytics and text processing (e.g., TensorFlow, PyTorch)
Experience with cloud services related to machine learning (Vertex AI, etc.)
Experience integrating ML solutions into cloud environments (e.g., AWS, Azure, GCP) is highly desirable
Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices
Excellent problem-solving skills
Strong communication skills
Proven experience leading and delivering complex ML projects at production scale