This role is responsible for rebuilding the sales forecasting model from a rules-based spreadsheet system to a production machine learning pipeline
Job Summary
This role is responsible for rebuilding the sales forecasting model from a rules-based spreadsheet system to a production machine learning pipeline.
The successful candidate will develop early-warning signal models to detect churn risk and expansion opportunities before they become visible to the field team.
You will act as the commercial voice of data to Product and Software Engineering teams to strategize necessary telemetry collection for better prediction.
Matching Summary
This role is responsible for rebuilding the sales forecasting model from a rules-based spreadsheet system to a production machine learning pipeline.
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 and sales process knowledge
End-to-end feature engineering in Snowflake
AWS environment for model monitoring
Nice-to-have
MLOps tools and practices experience
Healthcare or life sciences industry background
Strategic technology assessment skills
Experience with distributor-led markets
Ability to mentor junior analysts
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