Senior Applied Data Scientist, Fleet Intelligence

Your Impact:

• Help deliver near-term Fleet Intelligence initiatives, including tire intelligence, utilization intelligence, ROI measurement, and analytical foundations.
• Evaluate and develop credible projections or predictive models for fleet usage, maintenance cost, availability, and asset lifecycle decisions.
• Translate product questions into clear hypotheses, target variables, baselines, evaluation plans, and incremental delivery milestones.

Who You Are:

• An applied data scientist who enjoys working on ambiguous, high-value product problems.
• You can translate customer decisions into measurable modeling problems and iteratively improve them.
• You care deeply about correctness, explainability, and trust, and you communicate confidence intervals and data gaps effectively.

Your Experience:

• 5+ years of experience in applied data science, machine learning, or statistical modeling with a track record of shipping models that influenced outcomes.
• Strong proficiency with Python and SQL, including exploratory analysis and model development on large datasets.
• Experience with time-series forecasting, regression, classification, and taking models into production workflows.