Senior Applied Data Scientist, Fleet Intelligence

About this role

📋 Description Help deliver near-term Fleet Intelligence initiatives, including tire intelligence, utilization Evaluate and develop credible projections or predictive models for fleet usage, maintenance cost Translate product questions into clear hypotheses, target variables, baselines, evaluation plans Explore Fleetio's maintenance, usage, cost, work-order, telematics, warranty, and asset-history Build, validate, and operationalize models from experimentation through production monitoring and Define model-quality metrics, confidence thresholds, drift detection, and feedback loops 🎯 Requirements 5+ years of experience in applied data science, machine learning, statistical modeling, or a A track record of developing and shipping models or decision-support systems that influenced real Strong proficiency with Python and SQL for exploratory analysis, feature engineering, model Strong grounding in statistics and machine learning fundamentals, including model selection Experience with time-series forecasting, regression, classification, ranking, anomaly detection Experience taking models beyond notebooks into reliable production workflows, including versioning 🎁 Benefits Multiple health/dental coverage options Vision insurance Incentive stock options 401(k) match 4 weeks PTO Company holidays

Source listing: empllo_remote