PayPal

Staff Data Scientist

PayPal

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $152,500 - $262,350 per year

Job Level

Lead

Tech Stack

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

Requirements

  • Minimum of 8 years of relevant work experience
  • Bachelor's degree or equivalent experience
  • Preferred: Master's degree or higher 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 (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
  • Proven experience leading and delivering complex ML projects at production scale
  • Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices
  • Excellent problem-solving skills and ability to work in a fast-paced environment
  • Strong communication skills to effectively collaborate with team members and stakeholders