Senior Data Scientist - Fleet Analytics

Fa Evlf Saasfaprod1 Open · verified Oct 24, 2026

Estero Full-time Senior Data Science

At a glance

Senior Data Science role at Fa Evlf Saasfaprod1. Estero · full-time · from $105,000 base.

SalaryStated by Fa Evlf Saasfaprod1

From $105,000

Base salary for this role, in USD per year, as published in the posting.

RoleData Science

SenioritySenior

LocationEstero

EmploymentFull-time

Base payfrom $105,000

PostedSep 2, 2026 · 7w ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Guide each model from framing the problem through data exploration, feature work, development, tuning and deployment
Build and maintain models that describe, predict and recommend actions, then assess new products and services
Create analytics, reports, visualizations and dashboards that make findings clear to technical and business audiences
Work across teams to find operational use cases, improve efficiency and support business outcomes, including pipeline or decision analysis

What you bring

At least five years in a hands-on data scientist position
Three or more years querying data and scripting, including SQL or Python
Three or more years building machine learning models end to end, from problem definition through deployment
A bachelor’s or master’s degree in computer science or another quantitative discipline

Who this fits

This senior role suits a data scientist who has used machine learning to produce business impact. Experience in a data science or machine learning role at a car rental or technology company is also sought. The position is based in Estero, United States.

From the employer

Senior Data Scientist

The Company

Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in digital-first customer experience, shared mobility and electrification.

The salary range for this position is starting at $105,000; commensurate with experience.

The Role

At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities. Examples of projects the team work on include the below:L

Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively.

Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.

Optimize Decision Making: Create models to determine if we should keep/sell/salvage a vehicle.

Demand Planning: Forecast customer demand at a given location at a given time.

What You Will Do:

Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation).

Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services

Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management

Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs.

Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics.

What We are Looking For:

5 years hands-on experience in a data scientist role

3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)

3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment)