Data Scientist I — Predictive Modeling & Strategy (Hybrid)

PayPal; San Jose (CA); Hybrid; USD 174,000 - 244,000; Full time

Job summary

PayPal, Inc. in San Jose, CA, seeks a Data Scientist 1 to build predictive models for sales and lead scoring, and to deploy analytic solutions that drive business decisions.

You will work on end-to-end analytics, collaborating with key stakeholders and using Python, SQL, and modern visualization tools. The role emphasizes statistical analysis, A/B testing, Bayesian methods, and scalable data platforms with PySpark and cloud services.

Qualifications

• Master's degree in Data Science, Quantitative Management, or closely related field.
• Strong skills in Python and SQL for data analysis and ML tasks.
• Experience with advanced statistics, A/B testing, and causal inference methods.

Responsibilities

• Build new data models including predictive lead scoring models for sales.
• Design and deploy analytic solutions and models to support business.
• Collect and present analytical information for weekly/monthly reviews.
• Manage analytics projects end-to-end and collaborate with stakeholders.

Skills

Python

SQL

Statistics

A/B testing

Bayesian statistics

Causal inference

scikit-learn

Tableau

Looker

Plotly/Dash/Matplotlib

PySpark

Hadoop

BigQuery

AWS/GCP/Azure

ETL pipelines

Data visualization

Communication of insights

Education

Master's degree in Data Science/Quantitative field

Tools

Tableau

Looker

Plotly

Dash

Matplotlib/Seaborn

PySpark

Hadoop

BigQuery

AWS

GCP

Azure

Job description

PayPal, Inc. in San Jose, CA, seeks a Data Scientist 1 to build predictive models for sales and lead scoring, and to deploy analytic solutions that drive business decisions.

You will work on end-to-end analytics, collaborating with key stakeholders and using Python, SQL, and modern visualization tools. The role emphasizes statistical analysis, A/B testing, Bayesian methods, and scalable data platforms with PySpark and cloud services.