Mystery is on a mission to make people as happy as they can possibly be at work. To help us get there, we’re adding even more of the brightest minds to our team; could that be you?
Every year, companies spend billions trying to boost morale and improve retention—and with an increasingly remote workforce, that’s only getting harder. Combining highly curated, incredibly memorable team experiences with a world-class employee engagement platform, Mystery solves this problem for hundreds of the world’s top companies (Amazon, Apple, Stripe, Google, KPMG, and Uber to name a few).
We’ve just raised an $18.5M Series A from Greylock with participation from Zoom Ventures, Moving Capital, Endeavor, Gaingels, and others. This funding means we can continue to grow our team as we scale our product, all while still offering competitive pay and remote perks (more on that below).
Culture is at the heart of what we do—come join a dynamic and innovative team that’s bringing wonder to work!
Insatiably curious – your mind is brimming with questions and you find joy in learning the answers
Motivated by customer problems – you have deep empathy for your internal and external stakeholders
Master of your craft – you demonstrate pride, ownership and accountability for everything you do
Action oriented – you have a bias towards action and like to communicate complex concepts in a clear, precise, and actionable manner
Partner closely with Product and Engineering to shape product strategy using rigorous scientific inputs
Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
Design, implement and interpret innovative data science experiments to empower data-driven decisions and products at scale
Drive the collection of new data and the refinement of existing data sources
Create analyses that tell a story focused on insights, not just data
Desired Skills and Qualifications
2+ years of industry experience in Data Science
A PhD or MS in a quantitative field (e.g., Economics, Statistics, Engineering, Natural Sciences, Operations Research)
Expert knowledge of a scientific computing language (such as R or Python) and SQL
Strong knowledge of statistics, experimentation, and causal inference
Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact