This role involves rebuilding the sales forecasting model from a rules-based system to a production machine learning pipeline within year one
Job Summary
This role involves rebuilding the sales forecasting model from a rules-based system to a production machine learning pipeline within year one.
The position requires developing early-warning signal models to detect churn risk and expansion opportunities before they become visible to field teams.
Candidates will act as the commercial voice of data, strategizing telemetry collection to better predict customer expansion and system utilization.
Matching Summary
This role involves rebuilding the sales forecasting model from a rules-based system to a production machine learning pipeline within year one.
Salary
Base: $198,500 - $268,500 USD; Bonus/Equity: Eligible for equity grants and annual bonus program; Benefits: Comprehensive health and retirement benefit programs
Skills & Requirements
Must-have
Production ML model deployment
Advanced SQL and Python expertise
Salesforce CRM analytics experience
Sales forecasting and predictive modeling
AWS environment proficiency
Nice-to-have
MLOps tools and practices
Healthcare or life sciences industry background
Strategic technology assessment skills
Experience with high-growth scaling environments
Key Requirements
Master's degree in quantitative discipline or MBA with technical focus
7+ years of experience in analytics and coding
Proven track record of deploying ML models into production
Expert-level proficiency in complex SQL and Python/R