This post is contributed by Linda Burtch, Burtch Works’ Managing Director and quantitative recruiting expert.
While the data science and analytics hiring market has remained very active from our position as recruiters, we wanted to survey hiring authorities and see if we could put some numbers to this year’s hiring demand.
Data Science & Analytics Hiring in 2020
A few weeks ago, I sent out a “flash survey” to our network asking data science & analytics teams to describe their hiring plans for the first half of 2020.
According to our respondents, which represented over 150 companies across the US, we found that 67% of data science and analytics teams are planning to hire during Q1 or Q2 of this year. We also looked at how many data science and analytics teams are expanding, meaning they’re actively trying to increase headcount.
We found that 58% teams are growing (this includes all teams that are hiring with the ultimate goal of increasing overall headcount). In regards to the other respondents, 30% reported that they are holding steady (not planning to hire at this time). Only 3% of teams reported that they are cutting back, with a planned reduction to headcount.
Looking to hire data scientists or analytics professionals?
For those looking to hire for their data science and analytics teams, we’ve posted a few resources recently that might be helpful.
- Make sure your offers are in line with the market – Check out this post for highlights from our most recent salary report, which will help you determine data science and analytics salaries by job/experience level. For more detailed analysis by region, education, etc. you can download the full report here.
- Use these strategies to tackle common data science hiring challenges – Need to prioritize your hiring needs to find the right talent? Want to emphasize the mission of your data team to persuade potential candidates? This post contains excellent advice on how to address several common challenges when hiring quantitative professionals.
- Need to hire data engineers to round out your team? – This post shares tips on how to identify the right data engineering talent as well as how to streamline your hiring process to accelerate your time to hire.
Looking to manage your data science or analytics career?
Are you thinking about a career move this year? Here are a few posts that might be helpful:
- Need advice on resumes, applying for jobs in a new area, or bootcamps? – Our recruiters recently hosted a career planning session covering a wide range of job search and career planning topics. You can view the 45-minute recording here to get all their insights, or check out this blog transcript for a quick excerpt of their tips.
- Want some tips on how to work with recruiters? – Check out this post where our team shared some of their advice on working with recruiters during your job search.
- Is this the year you learn more about Python? – Whether you’re just getting started or looking to improve your skillsets, check out our interview with senior data scientists at Metis to get their tips for professionals at all skill levels.
Interested in our salary research on data scientists and predictive analytics professionals? Download our studies using the button below.
I hope this information was helpful! If you’re looking to hire data science or analytics talent, or looking for new opportunities, be sure to connect with me on LinkedIn (Linda Burtch).