Manager, Data Science 2

What you need to know about the role:

As a Manager Data Science 2, you will spearhead our efforts to measure and enhance Products for PayPal s small medium business. This role is central to our mission, offering you the opportunity to work with cutting-edge technology in a fast-paced environment.

Meet our team :

You will lead a team dedicated to optimizing business profile setup, invoice create flow, invoice payments directly impacting PayPals ability to offer seamless payment solutions to millions of users worldwide

• Data Analysis and Decision Making: Utilize large, complex datasets to drive improvements for the product. Employ advanced analytical and statistical techniques to identify trends, issues, and opportunities.
• Leadership and Team Management: Manage and mentor a team of junior and senior data scientists. Foster a collaborative, innovative, and results-driven environment.
• Strategic Influence: Develop and present insights and strategic recommendations to senior management. 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 business processes.
• Innovation and Improvement: Lead initiatives to refine existing analytical processes and develop new approaches to business challenges. Promote a culture of continuous improvement and testing.

• 7+ years of experience in analyzing multi-dimensional datasets and creating actionable business solutions.
• 2+ years of experience in managing and leading analytics teams.
• Strong educational background with a Bachelor s/Master s 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.
• Proven domain expertise in B2B Product or Financial services.
• Exceptional communication skills to effectively articulate insights and influence cross-functional teams.
• Prior experience in product analytics within a high-tech environment.
• 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.

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