Product Data Scientist

About the role

As a Product Data Scientist, you'll work as part of a cross‑functional team alongside product managers, designers, and software and analytics engineers, using data and your analytical expertise to influence the strategy of our Activation, Risk and Configuration products. You'll focus on Platforms and SMB domain where you will help optimize the onboarding journey for merchants and scale predictive automation.

Key responsibilities

• Build experiments and analysis frameworks to measure operational efficiency and ROI of new software releases and internal tooling updates for the Platforms & SMB domain.
• Collaborate with Data Analytics Engineers and Software Engineers to ensure proper data logging and modeling for high‑integrity business insights.
• Apply statistical modeling and exploratory data analysis to identify bottlenecks and drop‑off points across the merchant onboarding journey, delivering insights for automation prioritisation.
• Design and run proof‑of‑concept machine‑learning models and heuristic solutions to evaluate feasibility of onboarding automations before engineering handoff.

Required profile

• Proven experience in similar data science or product analytics roles within a high‑growth tech environment.
• Excellent data interrogation skills with SQL and the ability to write, read, and iterate Python scripts for data science analyses.
• Good understanding of foundational data science concepts such as statistics, clustering, and basic NLP workflows.
• Strong analytical mindset with the ability to translate operational problems into structured, data‑informed solutions.
• Clear communicator capable of explaining data insights and analytical logic to non‑technical stakeholders.

Required skills

• SQL
• Python
• Statistics
• Clustering
• NLP