Hiring great technical talent is one the biggest challenges for today’s businesses. Finding a great programmer is hard enough, but what do you do if you’re trying to find great data scientists? Here’s a look at why and how businesses like IBM, Facebook, Twitter, and Asana are making their teams smarter and their customers happier by hiring data scientists.
Why Data Matters
Companies and consumers create 2.5 quintillion bytes of data every day, and 90% of the world’s data has been created within the last two years. Everything you do online – social networks, apps, reading blog posts – leaves a trail of data that’s extremely valuable to growing companies.
There’s a major challenge to overcome though: how can you effectively communicate insights from your data with the rest of your largely non-technical team? Enter the data scientist.
They’re skilled in areas like mathematics, statistics, and programming languages like R and Python, but are also able to communicate their findings in a clear way with decision-makers. They effectively bridge the gap between your data and the rest of your team.
Data Science in Practice
Jack Heart, Product Engineer Lead at Asana, has hired two data scientists over the last year. One Galvanize Data Science graduate, Erin Burnside, joined his team about a year ago, and her first project was to redefine the company’s metrics for success using internal data. She’s now moved on to building dashboards that allow different teams – marketing, product, businesses development, and others – to access valuable insights about what’s working and what can be improved.
Currently, Erin is working on a project that uses customer data to predict churn. Once complete, Asana will be able to use these predictions to reach out to high-risk accounts, and having this knowledge make it possible for their support team to reach out to users – before there are any problems – and help them stay on as long-term customers.
The Hiring Problem
A potential employee with data science expertise is extremely difficult to find, and with Glassdoor reporting more than 2500 data scientist jobs in San Francisco alone, demand is sky high. This huge shortage of data expert is largely due to the fact that traditional programs at 4-year universities aren’t equipped to teach skills in emerging technology fields.
Even if you manage to find a great candidate, simply trying to recruit them is a major challenge. Typically, employers spend more than 3 months trying to hire technical roles and have to spend 20% base salary if they use a recruiting agency. Not to mention the time you’ll spend teaching new hires about the inner workings, problems, and opportunities for growth at your business.
For Jack Thomas at Asana, the hiring process for one their first data scientists took nearly an entire year. But when they started the search for a second data scientist, his team was able to meet multiple qualified candidates is just one day by attending a Galvanize’s data science hiring event.
If you’re ready to bridge the gap between your data and what your business can do, learn more about why Galvanize Data Science is a great option for your team. Giving someone at your company the opportunity to become an expert data scientist is one the best investments you can make in the future of your business. Now that you’re convinced you need a data scientist, we can also tell you how you can hire a great one.