Machine Learning Expert: Lead Value Prediction
We need a data scientist to build a model that predicts future lead values better than our 10-year-old legacy formula. You will work with a training set of ~100,000 historical records containing roughly 40 variables each. We don't care if you use linear regression, neural networks, or something else. We just want higher accuracy. You will work with our domain expert / Data Analyst and Lead Developer to access data, prepare datasets, choose model, train it, test it, and deploy to LIVE. Deliverables 1. The Code: Clean, production-ready code for the winning model architecture. 2. The Proof: A concise validation report comparing tested models (linear vs. neural networks vs. others), explaining why the winner was selected, and showing exactly how much it beats our baseline. Skills Required 1. Tech Stack: Python, various ML frameworks and libraries. 2. Modeling: Deep understanding of regression analysis, feature engineering, and model selection. 3. Focus: You prefer shipping high-accuracy predictions over writing long whitepapers. Apply tot his job