Data Scientist 1

PayPal•San Jose, CA

2d•$174,304 - $243,500•Hybrid

About The Position

PayPal, Inc. seeks Data Scientist 1 in San Jose, CA. This role involves building new data models, including a predictive lead scoring model for new sales, creating presentations, and leading strategic exercises such as annual segmentation planning. The Data Scientist will initiate, design, and deploy new technical solutions and analytic models to support the business. Responsibilities include collecting and collating analytical information for weekly/monthly meetings (e.g., Sales pipeline review, monthly operations review), managing analytical projects from end to end, and executing complex, ambiguous, and high-visibility business challenges. The role requires maintaining direct relationships with critical stakeholders and leveraging data and analytics to deliver accurate, action-driving recommendations using SQL, statistics, and visualization skills. Partial telecommuting is permitted from a commutable distance.

Requirements

Master’s degree, or foreign equivalent, in Data Science, Quantitative Management, or a closely related field
Two years of experience in the job offered or a related occupation
Experience using Python and SQL for data analysis, querying databases, and machine learning (2 years)
Experience with statistical analysis, probability, hypothesis testing, parametric & non-parametric tests, and A/B testing frameworks and product analytics (2 years)
Experience with Bayesian Statistics and Mixed Effect Modeling to measure product launches (2 years)
Experience with Causal Inference methods to measure product impact (1 year)
Experience with machine learning and predictive modeling using scikit-learn (1 year)
Experience with data visualization using Tableau, Looker, Plotly, Dash, and Matplotlib/Seaborn for presenting insights (2 years)
Experience handling large-scale datasets using PySpark, Hadoop, or BigQuery (2 years)
Experience with cloud computing, storage, and model deployment on AWS, GCP, or Azure (2 years)
Experience with designing ETL pipelines and working with structured and unstructured data in data warehouses (2 years)
Experience translating data insights into actionable business strategies and communicating findings to stakeholders (2 years)
Must be legally authorized to work in the U.S. without sponsorship.

Responsibilities

Build new data models including predictive lead scoring model for new sales
Create presentations
Lead strategic exercises (e.g., annual segmentation planning)
Initiate, design, and deploy new technical solutions and analytic models to support the business
Collect, collate, and provide analytical information for weekly/monthly meetings (e.g., Sales pipeline review, monthly operations review)
Manage analytical projects from end to end, from inception to delivery
Execute complex, ambiguous, and high-visibility business challenges
Maintain direct relationships with critical stakeholders
Leverage data and analytics to deliver accurate, action-driving recommendations utilizing knowledge of and experience with SQL, statistics, and visualization skills