Data Scientist
Core
Product-oriented Data Scientist building trusted metrics, improving data quality, and translating complex product/customer data into clear business decisions for a fast-growing AI video agent.
Role type
Senior IC product data scientist (metrics & data quality)
Builds
Production analytics dashboards, metric definitions, and data quality monitoring systems
Domain
SaaS / Creator economy / AI video products
Deliverable
dashboards & analysis
Required skills
Advanced SQL, Python, product usage analysis, metric definition and governance, data validation, experimentation design, statistical inference
Preferred skills
BigQuery, Mixpanel, Superset/Looker/Tableau/Power BI, subscription monetization, payment platform data (Stripe/Apple/Google), automated data quality monitoring, orchestration tools (Prefect/Airflow/dbt)
Technologies
BigQuery, Mixpanel, Superset, Python, Prefect, Statsig
Responsibilities
Validate reporting tables and dashboards against source data; Establish clear definitions and owners for key metrics; Develop monitoring for data quality issues (duplicates, spikes, nulls); Conduct post-launch analyses for product features and workflows; Analyze adoption, retention, segmentation, and monetization; Partner with AI teams on model evaluation and success metrics.
Seniority
Mid-Senior, hands-on IC
