Payments Data Science Lead

7 days ago

London, Greater London, United Kingdom Harnham Full time

Job Title: Lead Payments Data Scientist

Company: Harnham

Job Type: Full-time

Location: Remote

Job Description:

Overview:

Harnham is seeking a highly skilled Lead Payments Data Scientist to join our team. As a Lead Payments Data Scientist, you will be responsible for leading and driving data-driven insights in payments analytics, shaping global commerce strategy for a dynamic tech start-up.

Key Responsibilities:

  • Gain Expertise: 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.
  • Cross-Functional Collaboration: Partner closely with Engineering, Product, Product Insights, and Business Analytics teams to align and drive strategic data initiatives.
  • Empower Data Access: 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.
  • System Oversight: 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.
  • Performance Monitoring: 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.
  • Hands-On Leadership: Although this is a management role, you will be an integral part of a small team, necessitating a significant amount of individual contributor work.

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.

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