PayPal is seeking to design and implement advanced data science models to support business needs, drive strategic initiatives, and provide impactful, data-driven insights for domains such as Payments, eCommerce, or SaaS.
Requirements
- Advanced degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics) with a strong analytical and problem-solving mindset.
- 7+ years of experience in Product Data Science, including A/B testing, experimentation, advanced analytics, and applied machine learning.
- Demonstrated success partnering with Product teams in domains such as Payments, eCommerce, or SaaS to shape strategy, inform roadmaps, and deliver impactful, data-driven insights.
- Proven ability to lead and manage data science and analytics projects end-to-end, from ideation to delivery, leveraging data modeling, machine learning algorithms, and advanced analytics techniques.
- Extensive experience analyzing high-volume, high-dimensional real-world data, focusing on scalable solutions and measurable business outcomes.
- Advanced proficiency in SQL and Python, with expertise in extracting, processing, and generating actionable insights from large, complex datasets.
- Hands-on experience with modern data tools and platforms, including Jupyter Notebooks, BigQuery, Teradata, Hadoop, and Hive.
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.
- Design and build executive dashboards and impactful data visualizations using Tableau, Power BI, and Looker.
Other
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Exceptional communication and data storytelling skills, adept at translating complex analyses for both technical and non-technical audiences and influencing cross-functional decisions.
- Highly motivated, self-directed, and passionate about experimentation, product thinking, and navigating ambiguity while managing multiple projects in a fast-paced, results-driven environment.
- Ability to work in a hybrid work model with 3 days in the office and 2 days remote.
- Willingness to work in a global, collaborative environment with a focus on inclusion, innovation, collaboration, and wellness.
