Senior Data Scientist

Hybrid
Senior
Paris, 🇫🇷 France
Data Scientist
Data science & Analytics

The role

We empower businesses in the digital economy, and we know that every payment counts. Our Payment Performance team’s mission is to manage and optimise merchants’ payment flow, to achieve optimal conversion, compliance and cost.

Checkout.com is looking for a Data Scientist in Payment Success to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance. You will play a critical role in defining, delivering and building tools for the right insights to showcase the value of our optimal payment strategies.

You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements.

Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.

How you’ll make an impact

  • 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
  • Drive a culture of cross-team learning and knowledge sharing

Requirements

  • 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
  • SQL/ Python knowledge to extract & analyse data from our Data Warehouse
  • Experience with Git & Spark, Databricks, Retool, API
  • Ability to find creative and effective solutions for business problems
  • Flexible, adaptable and has a willingness to learn
  • Payments or Fintech experience is a plus

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values

Please submit CVs in English.

 

Checkout.com

Checkout.com

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy.

Fintech
Technology

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