Uber could use your statistical analysis.

Johannes Hallermeier writes:

After CU, I went on to work at Uber, as an applied scientist on the policy research team.
I’m reaching out because Uber is hiring for a number of interesting applied science & engineering roles across policy, marketing and marketplace.
—————————————-
Applied science / engineering roles at Uber
– two roles on policy research (#1, #3)
– two roles on marketing applied science (#2, #4, plus a third role coming online soon)
– several roles on marketplace (pricing, matching, incentives, etc., see rest of list below)
before applying, please ping [email protected], including your CV and preferred role (for questions and/or referrals)

Applied Scientist II, Policy & Consumer Research

Applied Scientist II, Brand Marketing

Applied Scientist II, Earnings Policy

Applied Scientist II, Marketing Applied Scientist II

Machine Learning Engineer

Optimization Engineer (Operations Research)

Backend Engineer, Rider Pricing & Incentives

Senior Optimization Engineer

Senior Software Engineer, Rider Pricing and Incentives

Senior Software Engineer, Dynamic Pricing

Staff Machine Learning Engineer, Causal Inference

Staff Software Engineer

Staff Software Engineer, Rider Pricing Platform

Staff Machine Learning Engineer, Pricing and Incentives

Staff Machine Learning Engineer, Dynamic Pricing

Staff Optimization Engineer, Dynamic Pricing

Senior Staff Machine Learning Engineer, Marketplace Pricing & Incentives

Science Manager – Dynamic Pricing

Manager, Science

Senior Staff Engineer – Marketplace Competitive Intelligence

Scientist II – Competitive Intelligence

Sr. Scientist – Competitive Intelligence

Sr. Scientist – Competitive Intelligence

Scientist II, Pricing and Incentives

Senior Scientist, Pricing and Incentives

I guess maybe if you interview for a job there, they’ll pick you up directly from the airport?

In any case, I can only assume that expertise in Bayes and Stan will come in handy.

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