Applied Scientist III

@ Uber Freight

About the Role

As an Applied Scientist III at Uber Freight, you will develop and implement advanced machine learning, statistical, economic, and optimization approaches to solve complex business problems and improve performance. You will apply modeling skills and data-driven methods to enhance our core product experience and top line business metrics. You’ll collaborate closely with Product, Operations, and Engineering teams to turn insights into impact.

What the Candidate Will Do

• Develop creative solutions and build prototypes using ML, causal inference, statistics, and optimization.
• Collaborate with engineering and product teams to productionize solutions.
• Drive clarity in solving ambiguous, challenging business problems using data-driven methods.
• Propose robust frameworks for data analysis to drive business insights.
• Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
• Leverage data to understand product performance and identify improvement opportunities.
• Design product experiments and interpret results for detailed conclusions.
• Communicate findings and insights to senior management and cross-functional teams.
• Provide recommendations to assist quick product ideation and feature launches.
• Build intelligent data-driven products to enhance the user experience.

Basic Qualifications

• Bachelor’s degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or related field.
• 3 years of related experience.
• Proficiency in Python or R for model development and analysis.
• Proficiency in SQL for data manipulation and analysis.
• Experience in building and managing data pipelines.
• Experience designing, launching, and analyzing A/B tests or online experiments.

Preferred Qualifications

• Master’s or Ph.D. in a related field.
• Strong knowledge of experimental design and analysis.
• Expertise in observational causal inference or statistical analysis.
• Ability to efficiently work with large datasets using Python or R.
• Proficiency in Spark for data manipulation at scale.
• Experience with fraud, recommendation, or dynamic pricing algorithms.

Benefits & Compensation for U.S. Employees

Employees working more than 30 hours in the US at Uber Freight are eligible for various benefits including company sponsored health, dental and vision plans, 401k match, wellness benefits, parental leave, disability coverage, life insurance, bonus programs, equity awards, and more.

About Uber Freight

Uber Freight is a market-leading enterprise technology company powering intelligent logistics. With end-to-end logistics applications, managed services, and a vast carrier network, Uber Freight advances supply chains and moves the world’s goods. The company manages nearly $20B of freight and partners with major Fortune 500 companies. For more, visit www.uberfreight.com.

Candidate Privacy Notice & EEOC

Uber Freight is committed to candidate privacy and equal opportunity employment. All qualified applicants will receive consideration without discrimination.

Key skills/competency

• Machine Learning
• Statistical Analysis
• Optimization
• Causal Inference
• Data Analysis
• SQL
• Python
• R
• Spark
• A/B Testing