Join Paystone and Shape the Future of Customer-Driven Growth!

At Paystone we build products that help small businesses grow through better customer experiences. Were focused on using data and AI to power smarter decisions stronger relationships and measurable business impact.

Rooted in our values of thinking people first solving impactful problems and building a better future were investing in intelligent systems that bring machine learning directly into the hands of our customers.

Were looking for a Data Scientist to help build and ship machine learning models that power real product experiences.

Youll work closely with Product Engineering and BI to turn data into systems that drive segmentation churn prediction lifetime value modelling and personalized recommendations. This is an end-to-end role where youll help define problems build models and support production delivery.

Why Paystone

• Impact: Build models that directly influence customer experiences and business outcomes.
• Flexibility: People-first approach focused on outcomes not location or hours.
• Innovation: Work at the intersection of machine learning product thinking and AI-assisted development.
• Collaboration: Partner closely with Product Engineering and BI in a fast-moving supportive environment.

What Youll Do:

• Partner with Product and BI to turn business goals into well-scoped ML problems with clear success criteria and guardrails
• Build and productionize models for segmentation churn LTV and recommendations
• Design evaluation frameworks including offline benchmarks and online feedback loops to ensure models are measured not assumed
• Collaborate with Engineering on production design considerations like latency payload structure fallbacks and failure modes
• Monitor model performance over time detect drift and own retraining and iteration cycles
• Use product telemetry and user feedback to drive continuous model and feature improvements
• Work alongside AI coding agents to accelerate development (pipelines tests refactoring exploration) while maintaining human oversight
• Communicate results trade-offs and recommendations clearly across technical and non-technical teams

Who You Are

• 5 years as a Data Scientist Applied Scientist or ML Engineer
• Strong SQL and Python skills with production ML experience
• Experience with churn segmentation LTV or recommender systems
• Comfortable working with production systems and APIs
• Familiar with AI coding tools and agentic workflows
• Strong communicator who can simplify technical concepts

Nice to Have

• Experience in loyalty CRM or retail analytics
• LLM or AI agent experience
• Building internal tools or ML infrastructure
• French/English bilingual

If youre excited about building practical impactful ML systems that ship into real products wed love to meet you.