Data Scientist III

Role Overview

We are seeking an exceptionally passionate person to join our Data Science team to architect the future of Uber Freight Analytics. In this role, you will go beyond standard reporting to drive an analytics roadmap that unlocks Operational Excellence (OpEx) across the business. You will deliver advanced descriptive and predictive solutions to Operations, Finance, and Logistics leadership, leveraging statistical modeling and machine learning to optimize logistics workflows, identify cost-saving opportunities, and provide the groundwork for AI-driven automation.

Responsibilities

• Perform deep-dive exploratory and statistical analysis to uncover hidden inefficiencies in global logistics networks and deploy ML models that drive automated decision-making.
• Apply advanced statistical analysis to identify OpEx opportunities and provide the data-driven insights necessary to architect and facilitate large-scale AI implementations.
• Develop robust attribution frameworks to quantify the financial and operational impact of process improvements.
• Collaborate with cross-functional teams such as product, engineering, and operations to drive system development end-to-end.
• Wrangle and synthesize fragmented data from multiple providers and internal systems to create a 'single source of truth' for operational performance.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.
• 3 years of related experience.
• Experience with SQL and Python.

Nice to Have

• Masters with 3 years of experience or Bachelors with 5 years of relevant experience.
• Experience with orchestration tools (e.g., Airflow).
• Experience with Spark.
• Advanced knowledge of experiment design and statistical methods.
• Experience working in a supply chain / logistics domain.

Skills

• Python
• SQL
• Spark
• Airflow
• Machine Learning