Senior Data Scientist
Build and operate machine learning models that personalize user experiences in a consumer digital product. Own recommendation systems from behavioral data through live deployment, measuring their impact on retention, conversion, and lifetime value.
תחומי אחריות
- Own models that determine content ranking, message and prompt timing, and user-specific offers
- Build predictive models for retention, churn, conversion, and lifetime value
- Adapt existing model architectures to behavioral data
- Deploy and operate models, including serving, monitoring, and retraining
- Design and analyze A/B and causal experiments to measure business impact
- Work with product, content, and growth teams to replace manual rules with learned models
דרישות
- At least 5 years in data science or machine learning, including models deployed to production
- Production experience building recommendation or personalization systems
- Practical experience training and adapting deep learning models for production
- Experience with time-series data, including forecasting, seasonality, and noisy signals
- Strong applied machine learning and engineering skills for reliable deployed models
- Experience with A/B testing, causal reasoning, and rigorous measurement
- Strong SQL skills and experience with large data warehouses and raw event data
- Bachelor’s degree in a quantitative field such as data science, computer science, statistics, or mathematics
יתרון
- MSc or PhD
- Experience with large-scale recommender systems, including retrieval, ranking, sequence models, or embeddings
- LTV, churn, or propensity modeling in a consumer or subscription business
- Experience in streaming, entertainment, or mobile consumer apps
- MLOps, causal inference, or uplift modeling