Uber Freight
Logistics
AppliedScientistIII
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied Scientist III at Uber Freight. Skills: Machine Learning, Causal Inference, Statistical Modeling, Optimization. Develop statistical approaches. Implement statistical approaches”
What You'll Achieve.
Improve performance; Enhance product experience; Drive business insights; Inform decision-making; Identify improvement opportunities; Draw impactful conclusions; Assist product ideation; Assist feature launch
Industry & Context.
Solve complex business problems; Solve ambiguous business problems
What They're Looking For.
Must Have
Bachelor's degree in Statistics, 3 years of related experience, Expertise in observational causal inference, Demonstrated proficiency in Python or R, Proficiency in SQL, Proficiency in building data pipelines
Nice to Have
Master's or Ph. D, Expertise in time series analysis, Experience working on pricing algorithms, Proficiency in designing online experiments
What You'll Do.
Develop statistical approaches
Implement statistical approaches
Develop machine learning approaches
Implement machine learning approaches
Develop optimization approaches
Implement optimization approaches
Apply modeling skills
Enhance core product experience
Build prototypes to business problems
Productionize solutions
Solve ambiguous business problems
Propose data analysis frameworks
Guide data analysis frameworks
Understand product performance
Identify improvement opportunities
Analyze causal factors
Design product experiments
Interpret experiment results
Provide recommendations
Build data-driven products
How You'll Work.
Team & Collaboration
Collaborate with Product teams; Collaborate with Operations teams; Collaborate with Engineering teams; Cross-functional teams
Communication Scope
Communicate findings; Communicate insights
Full Job Description
Schedule: Full Time Employment Job Type: Hybrid Salary Type: Salary Req #: 2520 About the Role As an Applied Scientist III at Uber Freight, you will develop and implement advanced statistical, economic, machine learning, 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 causal inference, statistics, machine learning, 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. Contribute to establishing 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 3 years of related experience Expertise in observational causal inference, econometric, and statistical models Demonstrated proficiency in pr
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