Paystone
Data Scientist
Vaga remota de Data Science com fit claro de localização do candidato.
Publicada14 de jun. de 2026
Países elegíveis2 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
IndonésiaPolônia
Resumo da vaga
Data Scientist
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
🚀 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
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