
Data Scientist - Uber Freight
As a Data Scientist on the Shipper team at Uber Freight, you will play an instrumental role in the definition and development of our data products such as Lane Recommendations, Market Explorer, and Coverage Risk. Bring strong technical expertise to help drive profitability at Uber Freight. Build and productionize algorithmic pricing models. Drive innovation, generate and validate new data, tactics and product ideas that maximize our business impact. Be creative - relentlessly identify new ideas and data sources to solve very difficult problems. Feature engineering and analytics to identify and demonstrate the opportunities of modeling improvements. Drive cross-functional initiatives to set qualitative objectives and quantitative goals. Lead the creation of pragmatic, prioritized, actionable roadmaps that effectively distill vision and strategy into efficiently shipped results.
Strong expertise in developing and deploying large scale machine learning and optimization models in production
At least 5 years of industry experience in data science, with significant personal experience as a technical contributor.
Experience solving deep technical problems using optimization and statistical approaches.
Expertise in convex programming and computational optimization
Sql
Python
R
Time Management Skills
Experimental design and analysis
Revenue management & bidding
Process Improvement
Verbal communication
Driven and self-motivated
written communication
Attending To Detail
Adaptability
Problem-Solving
Multi-tasking
According to JobzMall, the average salary range for a Data Scientist - Uber Freight in 1401 W North Ave, Chicago, IL 60642, USA is $120,000 - $140,000 per year. This range may vary depending on the experience and qualifications of the applicant.
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Uber Technologies, Inc. is an American multinational transportation network company offering services that include peer-to-peer ridesharing, ride service hailing, food delivery, and a bicycle-sharing system. The company is based in San Francisco and has operations in over 785 metropolitan areas worldwide.

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