Data Scientist III

About the role

Uber Freight is seeking a Data Scientist III to join their analytics team in Hyderabad. This role centers on leveraging statistical analysis and machine learning to address complex challenges in freight logistics and transportation. The Data Scientist III will work with extensive datasets to develop models that improve efficiency and reduce costs, collaborating closely with product managers, engineers, and operations teams to translate data insights into actionable strategies for the business. This role plays a critical part in shaping how Uber Freight optimizes its marketplace and delivers measurable value to carriers and shippers alike.

Key facts

What you'll do

• Analyze large datasets related to freight transportation to identify patterns and trends in shipping behavior across regions
• Build predictive models to forecast shipping demand and optimize route planning for freight operations nationwide
• Develop statistical frameworks for evaluating carrier performance metrics and dynamic pricing strategies in the marketplace
• Collaborate with engineering teams to deploy machine learning models into production systems and monitor their performance
• Design and execute A/B tests to validate hypotheses about freight operations and customer behavior patterns
• Create data visualizations and interactive dashboards to communicate analytical findings to business stakeholders effectively
• Work with product managers to define key performance metrics and success criteria for freight solutions
• Conduct exploratory data analysis to uncover opportunities for operational improvement across the supply chain network
• Support the development of data pipelines and scalable infrastructure for freight analytics workloads and reporting
• Mentor junior data scientists and contribute to knowledge sharing within the analytics organization through documentation
• Partner with operations teams to implement data-driven decision-making processes that enhance freight matching efficiency
• Evaluate model performance over time and iterate on approaches to ensure continued accuracy and relevance
• Evaluate the impact of freight pricing changes and market dynamics using econometric and causal inference methods
• Analyze customer feedback and operational data to identify friction points in the freight booking experience

Requirements

• Strong foundation in statistics, probability theory, and machine learning methodologies is essential for this role
• Proficiency in programming languages commonly used for data analysis and statistical modeling tasks
• Experience working with large-scale datasets and distributed computing frameworks such as Apache Spark
• Excellent written and verbal communication skills for presenting complex analytical results to diverse audiences
• Ability to work independently and manage multiple projects simultaneously in a fast-paced environment
• Bachelor's degree in a quantitative field such as mathematics, statistics, or computer science required
• Demonstrated experience applying data science techniques to solve real-world business problems at scale
• Familiarity with cloud-based data platforms and big data processing tools is highly valued
• Track record of publishing research or applying novel methods to production-level problems
• Understanding of database systems and SQL for querying and manipulating large structured datasets

Nice to have

• Experience with geospatial data analysis and transportation logistics systems is a plus
• Knowledge of optimization algorithms and operations research methods for supply chain problems
• Familiarity with real-time data streaming platforms and event-driven software architectures
• Prior experience working in logistics, supply chain, or freight industry settings
• Background in developing recommendation systems or matching algorithms for marketplace platforms

Skills & tools

• Statistical modeling and hypothesis testing frameworks for experimental design and analysis
• Programming languages such as Python or R for data analysis and machine learning
• Data visualization platforms and business intelligence reporting tools for stakeholder communication
• Distributed computing and big data processing frameworks like Apache Spark and Hadoop
• Cloud computing environments including AWS or GCP for data engineering and deployment
• Version control systems and collaborative software development workflows using Git and code review

Practical notes

• This role is based in Hyderabad at the Uber Freight office location
• The position requires regular collaboration with teams across different time zones globally
• Candidates should be prepared to work in a fast-paced, iterative development environment
• Uber Freight values diversity and encourages applicants from all backgrounds to apply
• The hiring process may include multiple rounds of technical and behavioral interviews
• On-site presence in Hyderabad is required as this role is not available for remote work