Competition for AI talent has been increasing for the past five years. Just as the worst of the pandemic began to ease, the market data for scientists went completely bonkers. Desperate hiring managers started calling us for advice:
We finally found an awesome data scientist, but she took a job at Spotify; they offered her more than my boss makes. How can I compete with these tech companies?
I finally got my HR department to agree to hire remote data scientists, but I still can’t find anyone! Competitors offer remote work and pay top-of-market salaries. Should we start offering four-day workweeks?
I asked my data scientist to focus on solving our business problems. He told me he prefers to do experiments, and he quit on the spot. How do we attract and retain the data scientists we need?
Our top project is stalled because our best data scientists resigned in Q1. We were shocked to learn that all of our data scientists are unhappy; our IT team likes our work. How can we create an environment where data scientists want to work?
With these questions in mind, we commissioned a study to help you understand how the most successful AI leaders are winning the war for data science talent.
We started by surveying more than 100 data scientists about what they want from their careers. We did qualitative interviews with many other data scientists and compared our findings to what we learned from the companies that are becoming talent magnets. This report compiles those results and provides recommendations to help you apply the strategies for success in your own company.