Senior Applied Data Scientist, Fleet Intelligence

pofft Technology Inc.; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Fleetio is seeking a Senior Applied Data Scientist to join our Fleet Intelligence team. You will turn years of fleet maintenance and operational data into trusted, actionable intelligence that helps customers anticipate outcomes and optimize usage, cost, availability, maintenance risk, and asset lifecycle.

This role sits at the intersection of data science, analytics engineering, and product development. You will collaborate with Product Managers, Designers, Software Engineers, and Data partners

Qualifications

• Experience turning fleet data into actionable intelligence.
• Ability to translate business decisions into modeling problems.
• Experience with predictive models and baselining.
• Ability to communicate uncertainty clearly.

Responsibilities

• Identify valuable prediction problems in fleet data.
• Develop practical models and bring them into customer-facing workflows.
• Collaborate with Product Managers, Designers, Software Engineers, and Data partners.
• Improve data-science practices and ship useful capabilities.

Skills

Applied data science

Machine learning

Analytics engineering

Cross-functional collaboration

Problem solving

Job description

Senior Applied Data Scientist, Fleet Intelligence Remote 1 gün 17 saat 49 dakika önce yayınlandı. Jobicy -

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation !

Fleetio is looking for a product-minded Senior Applied Data Scientist to join our Fleet Intelligence team. You will help turn years of fleet maintenance and operational data into trusted, actionable intelligence that helps customers anticipate what is ahead and make better decisions about usage, cost, availability, maintenance risk, and asset lifecycle.

This is an applied role at the intersection of data science, machine learning, analytics engineering, and product development. You will work closely with Product Managers, Designers, Software Engineers, and Data partners to identify valuable prediction problems, develop practical models, and bring them into customer-facing workflows. Your goal is to deliver intelligence that changes a decision, arrives early enough to act on, and communicates uncertainty honestly.

Your initial mandate will be grounded in confirmed Fleet Intelligence work: utilization and tire intelligence, ROI measurement, existing predictive models, and the analytics foundations needed to support customer-facing intelligence. You will assess current model quality, establish credible baselines, and help the team ship useful capabilities while strengthening its data-science practices.

Over time, you will help evaluate and shape opportunities for Predictive Fleet Intelligence, including projection, anticipation, and risk inference. You will help determine which opportunities are technically credible, valuable to customers, and ready to become durable product investments.

This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico.

Who You Are

You are an applied data scientist who enjoys working on ambiguous, high-value product problems. You can translate a customer or business decision into a measurable modeling problem, establish a credible baseline, and iteratively improve it. You know when straightforward statistics or deterministic projection is the right answer and when a machine learning approach is warranted.