Commercial Data Scientist
Core
Build, deploy, and maintain data science models to improve revenue outcomes and customer experience for a global AI video platform.
Role type
Commercial Data Scientist
Builds
Customer health scores, lead intent scoring, churn/expansion predictors, segmentation, and experimentation frameworks
Domain
AI video platform / Enterprise skill development / Commercial analytics
Deliverable
production ML models
Required skills
Applied machine learning, statistics, SQL, Python, data wrangling, feature engineering, model monitoring, retraining strategies, drift detection
Preferred skills
Go-to-market problem solving, modern data stack (Snowflake, dbt, Airflow), dashboard/alert design
Technologies
Python, SQL, Snowflake, dbt, Airflow
Responsibilities
Partner with Sales, RevOps, CS, and Marketing to define measurable commercial problems; Build and iterate on predictive/classification models with rigorous validation; Deploy models into production with Data Engineering; Maintain and improve existing models; Deliver clear outputs and documentation for commercial teams; Contribute to code quality and experimentation discipline
Seniority
Mid-to-Senior, hands-on IC
