Data Scientist at Paystone

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

04 Sep, 26

Salary

0.0

Posted On

06 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Machine Learning, Churn Prediction, Segmentation, Lifetime Value Modelling, Recommender Systems, Production ML, API Integration, AI Coding Tools, Model Monitoring, Evaluation Frameworks

Industry

Financial Services

Description

🚀 Join Paystone and Shape the Future of Customer-Driven Growth! 🚀 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. Your Role: Data Scientist We’re looking for a remote Data Scientist to help build and ship machine learning models that power real product experiences. You’ll 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 you’ll 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 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 Have Experience in loyalty, CRM, or retail analytics LLM or AI agent experience Building internal tools or ML infrastructure French/English bilingual If you’re excited about building practical, impactful ML systems that ship into real products, we’d love to meet you.

Responsibilities

Build and productionize machine learning models for segmentation, churn, LTV, and personalized recommendations. Collaborate with Product, Engineering, and BI teams to turn business goals into scalable ML systems and monitor their performance.