What’s Uber like in terms of their business, the role, and the work culture?

Well, you’ll need at least 4 years of industry experience as an Applied or Data Scientist, or equivalent. If you have a Ph.D., you can get by with just 2 years of experience. So, a solid background in data science is key!

You’ll need at least a Bachelor’s degree in a quantitative field like Statistics, Economics, or Operations Research. A Master’s or Ph.D. would be even better, but a solid foundation in those areas is essential.

You should be comfortable with R or Python for coding, and have strong skills in designing experiments and interpreting results. Plus, having solid causal inference skills is really important for making sense of the data you’ll be working with.

You’ll be designing and implementing data-driven solutions to improve how grocery content is presented. This includes everything from experimenting with customer incentives to creating new offer types that enhance the grocery experience on Uber Eats.

For this role, the base salary ranges from $183,000 to $203,000 per year, depending on the location. Plus, you’ll be eligible for bonuses and other benefits, which is pretty nice!