Senior Growth Data Scientist - New Products

What you'll do

• Define success metrics and analyze funnels, customer behavior, and growth opportunities for new products.
• Design experiments, build models and segmentations, and evaluate incremental impact while guarding against cannibalization.
• Create reliable data models, experiment-ready datasets, dashboards, and recommendations for cross-functional teams.

What they ask for

• Bachelor’s degree in Computer Science, Economics, Mathematics, Statistics, or a related technical field, or equivalent professional experience.
• 3+ years working with large datasets to solve business and technology problems and generate decision-making insights.
• 3+ years using SQL and Python or R for data analysis and end-to-end analytical solutions.
• Experience with experimentation and causal methods, and with defining metrics, building data models, and establishing measurement frameworks in ambiguous or greenfield environments.

Nice to have

• Knowledge of machine learning for predictive modeling, segmentation, forecasting, and recommendation systems; or experience in growth or product analytics for new launches and related areas.
• Knowledge of cloud tools such as AWS, Databricks, Airflow, and dbt; or experimentation and visualization platforms such as Statsig, Split, Optimizely, Mode, and Tableau.

Pay

$164.8K – $247.2K USD base salary

Tools

SQL, Python, R, AWS, Databricks, Airflow, dbt, Statsig

AI focus

Applies predictive modeling and other advanced analytics to understand behavior, demand, and intervention opportunities; AI-assisted coding tools are a preferred experience.