Data Scientist – Early Hire, Full Model Ownership, B2C SaaS

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OnHires

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.

📋 Description

• Build, validate, and ship predictive models that drive the business: churn prediction, LTV forecasting, propensity and uplift modelling, and recommendation • Own end-to-end ML workflows: feature engineering, model development, evaluation, deployment, and monitoring • Monitor models in production and retrain or adjust them as the product and user base evolve • Explore where AI/ML creates real product value as the company expands into AI-powered products • Design and analyse experiments (A/B tests, uplift, causal inference), bringing rigour to how we measure impact and reduce variance • Help shape the experimentation framework and modelling standards as foundations for the wider team • Handle user-level data responsibly: privacy-aware feature engineering, avoiding leakage of sensitive attributes, and compliance with data-use policies • Partner with Data Engineers to productionise models with reliable feature pipelines and, where useful, a feature store • Translate model output into clear, actionable recommendations for Product, Growth, and leadership — tying work back to company goals

🎯 Requirements

• 3+ years building and deploying machine learning models in a production setting • Strong Python and SQL, with solid command of the modern ML stack (scikit-learn, plus PyTorch or TensorFlow where relevant) • Sound grounding in statistics and experiment design: significance, causal inference, and uplift or propensity modelling • Hands-on experience with predictive use cases: churn, LTV, propensity, or recommendation • Comfort owning a model end to end — from problem framing to production and measurement, not just notebooks • The ability to turn complex analysis into a clear narrative and a recommendation a non-technical stakeholder can act on • Curiosity and autonomy — comfortable in a fast-moving environment where the roadmap evolves quickly

🏖️ Benefits

• Fully remote within the EU or Ukraine • B2B contract • 22 days of paid time off plus public holidays • Flexible working hours within core EU/Eastern European business hours • A rare chance to build a data function from scratch, with broad ownership and direct impact on the product roadmap