
Manager Data Science - Uber Freight
As the Manager on the Carrier and Network Data Science team, you will lead a group of data scientists and analysts who focus on data foundations, machine learning, inference, experimentation, actionable insights, metric definition, and data storytelling. Lead a team of ~10 highly skilled data scientists and analysts Partner with senior business and tech leaders to manage project intake, pipeline, prioritize, and manage staffing against key initiatives. Drive Product strategy, planning and execution through actionable data insights and data driven stories. Guide machine learning execution on a broad set of solutions across ranking, recommendations, optimization and anything else you can tie to business impact. Guide analysis complex experiments and effective communication of their results. Define, instrument, and maintain new and existing business critical metrics, using SQL queries and beyond.
Minimum 7 years experience working in leading business intelligence, analytics, data engineering, or a similar role
3+ years of experience directly managing analytical teams
Experience developing supervised machine learning solutions
Experience building pipelines and ETLs that transform structured and unstructured data sets in large-scale into meaningful data models
Experience working in marketplace settings
Project Management Skills
Tableau
R
Hadoop
Hive
Presto
Python Scripting
Stakeholder management skills
Time Management Skills
Writing complex SQL queries
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 Manager Data Science - Uber Freight in 636 W 28th St, New York, NY 10001, USA is $130,000 to $170,000 per year.
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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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