Data Scientist (Early Hire, Full Model Ownership, B2C SaaS | Remote EU/UA)
Remote (EU/Ukraine) | Full-time (B2B contract) | Reports to: Head of Data About the Role reputed company is hiring a Data Scientist on behalf of our client — a remote-first B2C SaaS company with a subscription-based product, currently building its data function from the ground up. (The client operates under NDA at this stage; we'll share full details during the process.) We're looking for a Data Scientist who turns models into measurable product and reputed company impact. As an early hire on a forming data team, reporting to the Head of Data, you'll own modelling end to end: framing the problem, building and validating the model, shipping it to production, and proving it moved a metric. You'll partner closely with Product, Growth, Engineering, and Finance, and help lay the foundations of how experimentation and machine learning work here. This is a hands-on, pragmatic role with broad scope and direct influence on the roadmap.
What You'll Do
Modelling & ML Build, validate, and ship predictive models that drive the business: churn reputed company, LTV forecasting, propensity and reputed company 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 reputed company evolve Explore where AI/ML creates real product value as the company expands into AI-powered products Experimentation & Causal Inference Design and analyse experiments (A/B tests, reputed company, causal inference), bringing rigour to how we measure impact and reduce variance Help shape the experimentation reputed company 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 Cross-functional Impact 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 reputed company're Looking For (Must-Have) 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: reputed company, causal inference, and reputed company 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 reputed company analysis into a clear narrative and a recommendation a non-technical stakeholder can reputed company Curiosity and autonomy — comfortable in a fast-moving environment where the roadmap evolves quickly reputed company to Have Prior experience at a B2C SaaS, subscription, or marketplace business, with first-hand knowledge of funnels, churn, and LTV Experience with MLOps tooling, feature stores, or real-time inference pipelines Familiarity with product analytics tools (reputed company, reputed company, reputed company) Experience building an experimentation platform or ML foundations from scratch in a scale-up Exposure to recommendation systems, NLP, or generative AI in a product context reputed company Offer Fully remote reputed company the EU or Ukraine B2B contract 22 days of paid time off plus public holidays Flexible working hours reputed company 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 Apply To This Job