Lead Payments Data Scientist

4 weeks ago


London, Greater London, United Kingdom Harnham Full time
Lead Payments Data Scientist

Join Harnham as a Lead Payments Data Scientist and play a pivotal role in shaping the payments landscape for a dynamic music tech leader. Our team excels in monitoring and reporting on payment performance, delivering critical insights that drive optimization strategies and support key business decisions.

As a Lead Payments Data Scientist, you will collaborate with a global team of top-tier data scientists, business managers, product managers, and engineers to drive strategic data initiatives and empower data access within the Commerce Business team.

Key Responsibilities:

  • Develop a comprehensive understanding of the company's complex payments ecosystem and related data sources to derive insights into payment performance and identify opportunities for optimization.
  • Partner closely with Engineering, Product, Product Insights, and Business Analytics teams to align and drive strategic data initiatives.
  • Facilitate a self-service data environment within the Commerce Business team by utilizing data modeling and visualization tools such as Looker, while also providing support for ad-hoc analysis requests as needed.
  • Manage the development and upkeep of the payments alerting system, ensuring the Commerce Operations team is promptly notified of any payments-related incidents requiring immediate action.
  • Track and report on key performance indicators (KPIs) related to payment performance, delivering data-driven insights and recommendations on optimization strategies and potential challenges to the Commerce team.

Requirements:

  • Academic Background: Degree in Computer Science, Analytics Engineering, Mathematics, Statistics, Economics, or a similar quantitative field.
  • Leadership & Management: Demonstrated experience in leading teams and managing projects effectively.
  • Programming Expertise: Strong proficiency in Python or equivalent programming languages, along with relevant data science tools.
  • SQL & Data Tools: Advanced skills in SQL (Google BigQuery experience preferred) and familiarity with dashboard visualization platforms like Tableau, Looker, or Google Data Studio.

How to Apply:

Please register your interest by sending your CV to Harnham via the Apply link on this page.



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