Senior Applied Data Scientist, Fleet Intelligence

📋 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