Paystone
Data Scientist
Remote Data Science role with clear candidate location fit.
PostedJun 14, 2026
Eligible countries2 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
IndonesiaPoland
Role overview
Data Scientist
Requirements and responsibilities
Readable role content extracted into sections for faster review.
🚀 Join Paystone and Shape the Future of Customer-Driven Growth! 🚀
- 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 You’ll 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 haves
- Experience in loyalty, CRM, or retail analytics
- LLM or AI agent experience
- Building internal tools or ML infrastructure
- French/English bilingual
Similar roles
Keep a backup shortlist.
Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.