Paypal is hiring an experienced Marketing Data Scientist at their Chennai and Bangalore locations
SANDEEP KUMAR | Jun 1, 2023 |
Paypal is hiring an experienced Marketing Data Scientist at their Chennai and Bangalore locations. In this role, you will work on a workstream for complex, ambiguous and high-visibility business challenges. You will execute on a vision that reflects your deep analytical expertise. You will be a thought partner to Marketing leadership teams.
The complete details of this job are as follows:
The successful candidate will be responsible for providing data-driven insights including but not limited to the Business casing, Deep dives, Modelling, Campaign Performance readouts, and optimization.
The Analyst will also be responsible for delivering accurate, action-driving recommendations to drive business performance and investment optimization. This is an Individual contributor role.
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
2+ 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 a 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 modeling, machine learning algorithms, and data science techniques.
Hands-on experience with Python, SQL & BigQuery
Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses
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