Data Scientist
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Job Description
Data Scientist developing and shipping machine learning models that enhance customer experiences for Paystone. Collaborating with cross-functional teams to drive data-based solutions.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- Flexibility: People-first approach focused on outcomes, not location or hours.
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