Remote Senior Data Scientist, Fleet Intelligence & Forecasts

Promptcube3; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Fleetio is seeking a Senior Applied Data Scientist to join the Fleet Intelligence team. You will translate business questions into predictive models, build production-quality solutions, and collaborate with product, design, and engineering to ship customer-facing intelligence.

You’ll work on utilization and tire intelligence, ROI measurement, and predictive analytics foundations, while emphasizing explainability, uncertainty, and measurement of impact.

Qualifications

• 5+ years of experience in applied data science, machine learning, statistical modeling, or a closely related field.
• Proven track record of developing and shipping models or decision-support systems that influenced real customer or business outcomes.
• Strong proficiency with DBT, Python, and SQL, including exploratory analysis, feature engineering, model development, and evaluation on large datasets.

Responsibilities

• Plan and execute predictive modeling projects that inform product decisions and business outcomes.
• Collaborate with Product, Design, Software Engineering, and Data Engineering to deploy models into customer-facing workflows.
• Define evaluation plans, quality metrics, and monitoring for production models, including retraining strategies.

Skills

DBT

Python

SQL

Statistics

Machine learning

Time-series forecasting

Experiment design

Production workflows

Education

Graduate study in statistics or related field

Tools

Snowflake

dbt

Airflow

ThoughtSpot

Job description

Fleetio is seeking a Senior Applied Data Scientist to join the Fleet Intelligence team. You will translate business questions into predictive models, build production-quality solutions, and collaborate with product, design, and engineering to ship customer-facing intelligence.

You’ll work on utilization and tire intelligence, ROI measurement, and predictive analytics foundations, while emphasizing explainability, uncertainty, and measurement of impact.