Checkout.com is looking to improve payment performance for Tier-1 merchants by crafting an all-encompassing payments strategy tailored specifically for them
Requirements
- SQL/ Python knowledge to extract & analyse data from our Data Warehouse
- Experience with Git & Spark, Databricks, Retool, API
- 5+ years experience as data scientist, working with large and diversified data sets
- Bachelor’s degree, preferably in Mathematics / Statistics / Computer Science / Engineering, Finance or equivalent
- Ability to find creative and effective solutions for business problems
- Payments or Fintech experience is a plus
Responsibilities
- Deliver expertise and guidance to our key merchants by crafting optimal payments strategy
- Conduct deep-dive exploratory data analysis to uncover insights and anomalies
- Conduct experiments and A/B tests to improve performance, including ML based solutions
- Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance
- Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI
- Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development
- Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided
Other
- Bachelor’s degree, preferably in Mathematics / Statistics / Computer Science / Engineering, Finance or equivalent
- Flexible, adaptable and has a willingness to learn
- Drive a culture of cross-team learning and knowledge sharing
- Collaborate with various teams across the company to ensure an outstanding merchant experience
- Hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection
