PayPal, Inc. is seeking a Sr Data Scientist to join their team in San Jose, CA. The successful candidate will identify and segment developer personas, develop clustering models, and build data-driven frameworks to measure developer engagement and success.
Requirements
- Master's degree in Computer Science, Engineering, Statistics, or a closely related field
- 5 years of experience in the job offered or a related occupation
- Experience using Python and SQL for data analysis, querying databases, and machine learning
- Experience with statistical analysis, probability, hypothesis testing, parametric & non-parametric tests, A/B testing frameworks, and product analytics
- Experience with Bayesian Statistics and Mixed Effect Modeling to measure Product launches
- Experience with machine learning and predictive modeling, including scikit-learn, TensorFlow, or PyTorch for building and deploying models
- Experience with data visualization, Tableau, Looker, Plotly, Dash and Matplotlib/Seaborn for presenting insights
- Experience working with PySpark and Hadoop for handling large-scale datasets
- Experience with AWS, GCP, or Azure for cloud computing, storage, and model deployment
- Experience with ETL pipelines and data warehouses to work efficiently with structured and unstructured data
- Experience translating data insights into actionable business strategies and communicating findings to stakeholders
- Experience with Causal Inference methods to measure product impact
Benefits
- Generous paid time off
- Healthcare coverage for you and your family
- Resources to create financial security and support your mental health