Senior Applied Scientist

Uber Freight; San Francisco (CA); Hybrid; USD 171,000 - 209,000; Full time

Job summary

Uber Freight is looking for a Senior Applied Scientist in San Francisco to develop and implement machine learning solutions that enhance business performance. The role involves collaboration with various teams and requires a strong background in statistics and machine learning. You will be pivotal in applying data-driven methods to improve core product experiences.

Benefits

Company sponsored health plan

401k match

Parental leave

Short- and long-term disability coverage

Life insurance

Qualifications

• 5 years of related experience required.
• Strong knowledge of experimental design and analysis preferred.
• Expertise in causal inference and statistical testing desired.

Responsibilities

• Develop creative solutions and build prototypes using machine learning.
• Collaborate with product and engineering teams for implementation.
• Analyze product performance and drive data-driven insights.

Skills

Machine Learning

Statistical Analysis

Optimization

Causal Inference

Education

Bachelor’s degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or related field

Master’s or Ph.D. in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or related field

Tools

Python

R

SQL

Hive

Spark

Job description

Join to apply for the Senior Applied Scientist role at Uber Freight

Join to apply for the Senior Applied Scientist role at Uber Freight

About The Role

As a Sr. Applied Scientist 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.

Schedule: Full Time Employment

Job Type: Hybrid

Salary Type: Salary

Req #: 1019

About The Role

As a Sr. Applied Scientist 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 to business problems using algorithms based on machine learning, causal inference, statistics, and optimization.
• Collaborate with engineering and product teams to productionize these solutions and create a lasting impact.
• Drive clarity and solve ambiguous, challenging business problems using data-driven approaches, with an emphasis on understanding causal relationships when applicable.
• Propose and guide robust frameworks of data analysis to drive business insights and inform decision-making.
• Establish standard methodologies for data science, including modeling, coding, analytics, and experimentation.
• Leverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factors.
• Design product experiments and interpret results to draw detailed and impactful conclusions.
• Communicate findings and insights to senior management and cross-functional teams.
• Provide recommendations to assist quick product ideation and feature launch decisions.
• Build intelligent data-driven products to provide the best user experience.
  
  

Basic Qualifications

• Bachelor’s degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or another related field
• 5 years of related experience
  
  

Preferred Qualifications

• Master’s or Ph.D. in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or a related field
• Strong knowledge of experimental design and analysis
• Expertise in causal inference, statistical analysis and testing, and model development
• Ability to use a programming language like Python or R to work efficiently at scale with large data sets
• Proficiency in SQL, Hive, and Spark for data manipulation and analysis
  
  

Benefits & Compensation For U.S. Employees

Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.

About Uber Freight

Uber Freight is a market-leading enterprise technology company powering intelligent logistics. With a suite of end-to-end logistics applications, managed services and an expansive carrier network, Uber Freight advances supply chains and moves the world’s goods. Today, the company manages nearly $20B of freight and one of the largest networks of carriers. It is backed by best-in-class investors and provides services for 1 in 3 Fortune 500 companies, including Del Monte Foods, Nestle, Anheuser-Busch InBev, and more. For more, visit www.uberfreight.com.

Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

For California-based roles: The salary range for this role is $171,240.00 - $208,860.00 per year

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Transportation, Logistics, Supply Chain and Storage

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