Marketing Data Scientist

In this role, you will lead a workstream solutions for complex, ambiguous and high-visibility business challenges. You will set and execute on a vision that reflects your deep analytical expertise. You will be a thought partner to Marketing leadership teams.

Meet our team -
Our Marketing Analytics transformation is in full swing. We embarked on a path of transforming and building a world class Marketing Analytics Org recently. Our team helps to power PayPal s high growth Marketing organization by delivering actionable insights and business intelligence to Consumer Marketing Org for our 200+ million customers

• You will partner with these teams to understand the insights they require to manage and grow their business and leverage cross-functional teams to develop and land solutions that meet their needs at scale.
• You are deeply curious and persistent in gaining knowledge about our products and go-to-market strategy.
• You will have exposure and visibility to PayPal Sales, Product, Finance & Market Insights teams, as you work with them to create a holistic solution to Marketing problems.
• We are a team of entrepreneurial, enthusiastic, and client-focused members.

• The successful candidate will be responsible for providing data-driven insights including but not limited to Business casing, Deep dives, Modelling, Campaign Performance readouts and optimization.
• The candidate will also be responsible for delivering accurate, action driving recommendations to drive business performance and investment optimization
• Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment
• Influence stakeholders to make business decisions in alignment with global measurement approaches

• Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics
• 4+ years of experience in analytics, data science or management consulting or equivalent analytical and project management experience
• Accomplished Contributor, with experience managing high-performing Data Scientists and Quantitative Analysts
• Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams
• Exceptional problem-solving skills, with strong ability to drive towards action and impact
• Experience in managing analytics projects from inception to delivery, including developing structured solutions
• Experience with visualizations, dashboards, and reports
• Experience with data modelling, machine learning algorithms, and data science techniques.
• Hands on experience of Python, SQL & Big Query
• Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses