PayPal is looking to solve complex business problems through data science solutions, driving strategic initiatives and informing investment decisions.
Requirements
- Proven expertise in causal inference, experimentation, and model-driven decision-making.
- Proficiency in Python, SQL, and statistical modeling frameworks (e.g., XGBoost, regression, time series, DML).
- Experience in cloud environments (AWS, GCP) and analytics tools (Tableau, PySpark).
- Experience leading experimentation and measurement strategies in large-scale tech environments.
- Experience in setting up Agentic workflows for automating data requests and root cause analysis
- Background in product analytics and marketing measurement.
- Experience with reusable data pipelines, embeddings, and feature libraries to accelerate model development.
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.
- Partner with Product, Engineering, and Finance to translate complex business problems into scalable data science solutions.
Other
- 5+ years relevant experience and a Bachelors degree OR Any equivalent combination of education and experience.
- Strong stakeholder management and ability to communicate insights to non-technical audiences.
- Demonstrated impact in cross-functional collaboration with product, engineering, and business stakeholders.
- Experience mentoring data scientists and driving adoption of data-driven decision-making practices.
- 0% travel required
