Data Scientist

The Global Analytics and Data Science team at PayPal is seeking a highly skilled Data Scientist who excels at problem-solving and is passionate about deriving data insights with a strong execution focus.

The Payment Analytics and ML team is dedicated to identifying opportunities and addressing gaps in customer experience, product flows, and payment processing. We leverage statistical methods to inform product roadmaps and provide senior leadership with actionable insights for data-driven decision-making.

As a Data Scientist, you will lead initiatives to enhance our Small and Medium-sized Business (SMB) Payment Products. This dynamic role places you at the forefront of our mission, working in a high-energy environment to drive significant improvements in payment solutions for millions of global users. You will play a pivotal role in shaping PayPal's offerings for the SMB sector.

Your Impact:

• Conduct in-depth data analysis using large, complex datasets to improve products for the SMB segment.
• Apply advanced analytical and statistical techniques to uncover trends, issues, and opportunities.
• Perform comprehensive deep-dive analyses, including causal inference, pre-post analysis, sensitivity analysis, financial projections, and ad-hoc exercises to formulate holistic recommendations.
• Develop and present strategic insights and recommendations to Product and Data Science leadership, influencing product direction and key decisions through data.
• Collaborate effectively with cross-functional teams, including product development, engineering, and marketing, to implement data-driven enhancements. Occasionally, you will engage with merchants to optimize their authorization processes. You will also mentor junior team members.
• Lead efforts to refine existing processes and develop innovative approaches to business challenges, fostering a culture of continuous improvement and experimentation.

What You Bring:

• A minimum of 7 years of experience in analyzing multi-dimensional datasets and developing actionable business solutions.
• A strong educational foundation with a Bachelor’s or Master’s degree in Analytics, Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field.
• Expertise in SQL, Excel, and data visualization tools such as Tableau or Qlikview. Proficiency in a statistical programming language like R or Python is highly preferred.
• Demonstrated experience with big data technologies including Teradata, Hadoop/Hive, and BigQuery.
• Familiarity with Python, Jupyter Notebooks, and SQL.
• Exceptional communication and influencing skills to effectively convey insights to cross-functional teams.
• Previous experience in applying data science to drive product insights within a high-tech environment.

Personal Attributes:

• A data-driven mindset with a passion for solving complex problems through analytical solutions.
• A proactive self-starter motivated to take initiative and excel in a fast-paced setting.
• A collaborative team player who brings energy and enthusiasm to the workplace.
• Comfortable navigating ambiguity and uncertainty in a dynamic business landscape.

Work Model: PayPal operates a balanced hybrid work model, with 3 days in the office for collaboration and 2 days flexible between the office or home.

Benefits: PayPal offers comprehensive benefits including flexible work arrangements, employee share options, health and life insurance, and resources to support financial, physical, and mental well-being. Learn more at https://www.paypalbenefits.com.

Diversity and Inclusion: PayPal is committed to equal employment opportunity and fostering an inclusive environment where all employees feel valued and can do their best work. We embrace diversity as a reflection of the communities we serve.