Data Scientist III

Uber Freight

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago
Salary: $99,000–$151,000 / yr
Posted: today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $151k

This role $125k

$87k most similar roles pay here $215k

This role pays less than 89% of similar roles. Most pay $126,800–$175,500 — the shaded band above. At the midpoint, this role pays about $125k versus about $151k for comparable roles.

Based on 240 similar postings.

Employer

About Uber Freight

Uber Freight is a logistics technology platform that connects shippers with carriers to simplify freight transportation, offering digital load booking, pricing transparency, and supply chain management tools.

Uber Freight currently has 11 open roles on FindRole.

Listed pay typically runs $149,750–$182,175 across 8 roles with salary data.

Most-posted roles

View all roles at Uber Freight

At a glance

TL;DR · Data Scientist III

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Join our Data Science teams as a Data Scientist III, contributing to the long-term roadmap for analytic capabilities by driving the analytics roadmap and providing descriptive and predictive solutions using data mining techniques and machine learning models. You will collaborate with cross-functional teams including product, engineering, operations, and marketing to develop systems from conceptualization through productization. Key responsibilities include performing exploratory data analysis, working efficiently at scale with large datasets, and implementing statistical and machine learning methods for segmentation and prediction. Preferred qualifications include a Master’s degree or equivalent experience, proficiency in R or Java, advanced knowledge of experiment design, and strong presentation skills. This role involves leveraging SQL, Python, and other relevant technologies to solve complex business problems at scale.

Skills

Python SQL R Java Machine Learning Statistical Analysis Data Mining Experiment Design CI/CD

What you'll do

Perform exploratory data analysis on large datasets.
Develop predictive models using statistical and machine learning techniques.
Provide descriptive and predictive solutions to marketing teams.
Work with cross-functional teams to drive system development end-to-end.
Implement efficient data mining techniques for segmentation and prediction.

What we're looking for

Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field
3+ years of experience in data science or related field
Proficiency in SQL and Python
Experience with large-scale data analysis and machine learning models
Ability to collaborate effectively across cross-functional teams
Strong presentation skills for communicating insights and solutions

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