Job
Description
The Global Analytics and Data Science team is seeking a Data Scientist to join us as an exceptional problem solver with a passion for data insights and a relentless execution focus. You way to Impact: We are seeking a dynamic Data Scientist to take the lead in advancing our SMB Payment Products. This pivotal role places you at the core of our mission, providing an exciting opportunity to engage in a high-energy setting. You will oversee data science projects focused on enhancing products tailored for the SMB sector, significantly influencing PayPals capacity to deliver seamless payment experiences to millions of users globally. Join us to make a tangible impact on our innovative payment solutions. Your day to day: Data Analysis and Decision Making: Utilize large, complex datasets to drive improvements in Products used by SMB segment. Employ advanced analytical and statistical techniques to identify trends, issues, and opportunities. Perform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations. Strategic Influence: Develop and present insights and strategic recommendations to Product and Data Science leadership. Influence product direction and strategic decisions through data-driven insights. Collaboration and Communication: Work closely with cross-functional teams, including product development, engineering, and marketing to implement data-driven improvements. Occasionally collaborate with merchants to optimize their authorization processes. Mentor junior team members . Innovation and Improvement: Lead initiatives to refine existing processes and develop new approaches to business challenges. Promote a culture of continuous improvement and testing. What do you need to bring: 4+ years of experience in analyzing multi-dimensional datasets and creating actionable business solutions. Strong educational background with a bachelors/masters degree in Analytics, Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative discipline. Expertise in SQL, Excel, and visualization tools such as Tableau or Qlikview. Proficiency in a statistical programming language like R or Python is preferred. Demonstrable experience with big data technologies such as Teradata, Hadoop/Hive, and BigQuery. Knowledge of Python, Jupyter Notebooks, and SQL. Exceptional communication skills to effectively articulate insights and influence cross-functional teams. Prior experience in performing data science to fuel insights to drive Product within a high-tech environment. Personal Attributes: A data-driven decision maker, passionate about solving complex problems using analytical solutions. A self-starter who is motivated to take initiative and thrive in a fast-paced environment. A fun-loving team player who brings energy and enthusiasm to the workplace. Comfortable with ambiguity and uncertainty in a dynamic business landscape.
