I’m looking for a seasoned data scientist who can jump in from day one, help me clarify the business questions I’m trying to answer, and carry the work all the way through to a production-ready solution. The dataset is already in hand, but the scope—whether we focus on cleaning, visualization, predictive modeling, or a blend of all three—will be shaped together during an initial strategy call. You should feel comfortable moving fluidly between exploratory analysis, feature engineering, model selection, and deployment. Most of my tooling lives in Python, so familiarity with pandas, scikit-learn, TensorFlow or PyTorch, SQL, and basic cloud services (AWS or GCP) will give you a running start, though I’m open to suggestions if another stack is better suited. Deliverables • A concise project roadmap agreed upon after the kickoff meeting • Well-documented notebooks or scripts that reproduce all analysis and model training steps • A final model (or dashboard) deployed to a sharable endpoint or serverless function • A short wrap-up report explaining results, key metrics, and next steps I’m ready to get started as soon as we find the right fit and expect steady communication, clear version control, and reproducible code throughout the engagement.