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

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Develop, validate, and deploy predictive models that enhance business operations: including churn prediction, LTV forecasting, propensity and uplift modeling, and recommendations.

• Manage complete ML workflows: encompassing feature engineering, model creation, assessment, deployment, and ongoing monitoring.

• Oversee models in production, retraining or modifying them as the product and user base change.

• Investigate opportunities where AI/ML generates tangible product value as the company transitions towards AI-driven products.

• Design and evaluate experiments (A/B tests, uplift, causal inference), ensuring rigor in measuring impact and minimizing variance.

• Contribute to the development of the experimentation framework and modeling standards, establishing a foundation for the broader team.

• Manage user-level data with care: implementing privacy-conscious feature engineering, preventing leakage of sensitive information, and adhering to data-use regulations.

• Collaborate with Data Engineers to operationalize models with dependable feature pipelines, and utilize a feature store when beneficial.

• Convert model results into straightforward, actionable recommendations for Product, Growth, and leadership, aligning efforts with company objectives.

⛳️ Requirements

• Over 3 years of experience in building and deploying machine learning models in a production environment.

• Proficient in Python and SQL, with a strong grasp of the contemporary ML stack (including scikit-learn, and familiarity with PyTorch or TensorFlow as applicable).

• Solid understanding of statistics and experiment design: covering significance, causal inference, and uplift or propensity modeling.

• Practical experience with predictive use cases: including churn, LTV, propensity, or recommendations.

• Confidence in managing a model from start to finish — from problem definition to production and evaluation, not limited to just notebooks.

• Capability to translate intricate analyses into a clear narrative and actionable recommendations for non-technical stakeholders.

• A sense of curiosity and independence — thriving in a dynamic environment where the roadmap is subject to rapid changes.

🏝️ Benefits

• Fully remote work opportunity within the EU or Ukraine.

• B2B contract arrangement.

• 22 days of paid leave in addition to public holidays.

• Flexible working hours aligned with core EU/Eastern European business hours.

• A unique opportunity to build a data function from the ground up, with significant ownership and a direct influence on the product roadmap.