Data Scientist

Paystone

8d•Remote

About The Position

At Paystone, we build products that help small businesses grow through better customer experiences. We’re 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, we’re investing in intelligent systems that bring machine learning directly into the hands of our customers. This is an end-to-end role where you’ll help define problems, build models, and support production delivery.

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 Haves

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

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