PayPal Staff Data Scientist - Payments United States, California, San Jose 234618203
Share
Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications
Partner withProduct, Engineering, and Finance
causal inference and forecasting models
Design and operationalizeexperimentation frameworksto improve product performance and user engagement.
Develop andmaintainreusable data pipelines, embeddings, and feature librariesto accelerate model development.
Communicate insights and recommendations clearly to leadership, influencing strategic direction across teams.
expertiseincausal inference,experimentation, andmodel-driven decision-making.
inPython, SQL, and statisticalmodelingframeworks(e.g.,XGBoost, regression, time series, DML).
Experience in cloud environments (AWS, GCP) and analytics tools (Tableau,PySpark).
Strong stakeholder management and ability to communicate insights to non-technical audiences.
Experience leadingexperimentation and measurement strategiesin large-scale tech environments.
Experience in setting upAgentic workflowsfor automating data requests and root cause analysis
Background inproduct analytics and marketing measurement.
cross-functional collaborationwith product, engineering, and business stakeholders.
Experience mentoring data scientists and driving adoption of data-driven decision-making practices.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
