Lead Data Scientist
Core
Build ML systems to predict future mobile app conversions weeks in advance for subscription apps, optimizing ad spend and acquisition ROI.
Role type
Lead Data Scientist (first hire, founder-adjacent)
Builds
Predictive signals delivered to advertising platforms via automated ML pipelines
Domain
Ad-tech / Performance marketing / Mobile app analytics
Deliverable
production ML models
Required skills
Python, time-series analysis, behavioural event modelling, end-to-end ML pipeline development, cloud data warehouses, AutoML, MLOps
Preferred skills
AutoML frameworks, orchestration tools, statistical depth (calibration, causal inference), LLM tooling
Technologies
Python, pandas, polars, sklearn, xgboost, PyTorch, TensorFlow, BigQuery, Snowflake, Prefect, Airflow, Optuna, AutoGluon, H2O, MLflow, Weights & Biases, Evidently
Responsibilities
Design and implement end-to-end ML pipelines from ingestion to deployment; Develop AutoML capabilities for time-series behavioural data; Establish MLOps practices including experiment tracking and model monitoring; Partner with CTO on technical strategy and architecture; Mentor junior data scientists
Seniority
Senior, hands-on IC with technical leadership
