Predictive Analytics Specialist

Role Summary :

We are seeking an experienced Data Scientist to drive data-driven decision-making for our bids, operations, and financial modeling functions.

You will leverage advanced analytics and predictive modeling to help Ceres management optimize bid pricing, operational productivity, and margin forecasting by analyzing large volumes of historical and operational data.

This is a hands-on, high-impact role interfacing with global stakeholders, particularly in pricing strategy, operational forecasting, and business performance analytics.

• Bid Win Model : Develop predictive models estimating win probability by client, region, scope, and competitor profile.
• Pricing Engine : Build elasticity-based pricing guidance to support competitive bid decisions.
• Operations Forecasting : Model production rates by debris type, weather, crew mix, and logistics routes.
• Margin Forecast : Create financial simulation models to assess cost drivers (fuel, disposal, distance, etc.) and scenario outcomes.
• MLOps Foundation : Implement automated retraining, monitoring, and governance frameworks for deployed models.

Core Responsibilities :

o Classification : Win / loss predictions

o Regression : Price and cost forecasts

o Time Series : Throughput and demand projections

o Optimization : Crew and equipment routing, shift planning

Required Qualifications :

Preferred Experience :

Why Join Ceres Environmental