Looking for a Data Scientist
vs. a Data Engineer
Who We Are
Our Niche
Vaco Seattle places open source, big data, and other tech
professionals with companies in the greater...
3
Is it a Data Scientist?
Too Many Options?
Is a Data Scientist a quant in finance, a
researcher in science, or a statisti...
4
Understanding Your Needs
 Avoid the hype at all costs—hire for your needs and your needs alone.
 Knowing the bigger pi...
5
Data Scientist: Typical Skills
 Pulls insights from data to
answer questions and solve
problems
 Creates models and te...
6
Data Engineer: Typical Skills
 Focuses on systems that store/retrieve data
 Builds robust databases
 Typically softwa...
7
Although Data Scientist and Data Engineering skills can overlap, it’s rare to find someone
truly strong in both areas. N...
8
Know the Position Before Interviewing
Where to Start
If you already have a data expert on staff, they will be key to you...
9
If You Choose an Agency
Interview Them!
If you are interviewing candidates to join your team, why wouldn’t you also inte...
10
In Short…
If You
 Know what you want
 Work with trusted resources
 Ensure you are not offending the
community
 Upho...
11
Finding the Elusive Flying Rainbow-Unicorn-Cat
Whether you’re an active or passive
candidate, or part of a company
seek...
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Understanding When You Are Looking for a Data Scientist vs. Engineer

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Greythorn's Recruiting Manager for the Open Source & Big Data Team spoke at the Unstructured Data Science Pop-up in Seattle on October 7, 2015. During her lightning talk, she explained how companies can determine the kind of talent they need--and encouraged data scientists and engineers to find the right fit for their next job.

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Understanding When You Are Looking for a Data Scientist vs. Engineer

  1. 1. Looking for a Data Scientist vs. a Data Engineer
  2. 2. Who We Are Our Niche Vaco Seattle places open source, big data, and other tech professionals with companies in the greater Seattle area. If that sounds familiar but you don’t recognize the name, we’re the recruiters formerly known as Greythorn. Presence in the Community Our reputation is built on our passion. We sponsor local meetups, attend national conferences, and most importantly, learn and understand what’s being said. The Unicorn Our Unicorn logo goes all the way back to our first client. After consistently finding them Apache Committers, they kept emailing asking for more Unicorns. Thus, the legend was born… Seattle
  3. 3. 3 Is it a Data Scientist? Too Many Options? Is a Data Scientist a quant in finance, a researcher in science, or a statistician in industry? All of the above! There is no one- size-fits-all definition. In “Analyzing the Analyzers,” published by O’Reilly, the authors argue that there are at least 4 different types of Data Scientists: • Data Business people • Data Creatives • Data Developers • Data Researchers Focus on Your Problem Don’t get lost in titles and hype. Instead focus on the skills you truly need. That’s where your search will begin. Seattle
  4. 4. 4 Understanding Your Needs  Avoid the hype at all costs—hire for your needs and your needs alone.  Knowing the bigger picture will help you identify your needs and attract the right talent Seattle
  5. 5. 5 Data Scientist: Typical Skills  Pulls insights from data to answer questions and solve problems  Creates models and tells a story  Strong in the scientific process and handling unknowns  Typically advanced degrees  Typically scripting versus coding Seattle
  6. 6. 6 Data Engineer: Typical Skills  Focuses on systems that store/retrieve data  Builds robust databases  Typically software engineer by trade/education  Strong engineering/programming skills  Databases/data warehouse knowledge  Experience with big data technologies, tools, etc. Seattle
  7. 7. 7 Although Data Scientist and Data Engineering skills can overlap, it’s rare to find someone truly strong in both areas. Not to mention, someone who wants to do both. Navigating the In-Between Data Scientist Data Engineer Asking the right questions Machine learning Statistics Find/import/transform data Presentation skills Portfolio project Programming Building a product Streaming Source: Dataconomy Seattle
  8. 8. 8 Know the Position Before Interviewing Where to Start If you already have a data expert on staff, they will be key to your hiring. If you aren’t a data expert, have never hired a data expert, or don’t already have data experts on staff, find outside assistance:  Consult a trusted friend or advisor  Hire an agency Never Wing It Do not use your interview process to determine who or what you need. Seattle
  9. 9. 9 If You Choose an Agency Interview Them! If you are interviewing candidates to join your team, why wouldn’t you also interview the agencies finding the candidates you are interviewing?  Have they placed people in similar roles?  Will you have one point of contact or multiple?  Check their references!  Does their personality mesh with your company’s personality?  What’s their reputation in the industry? Don’t Get Stuck on Terms When you find the right agency, don’t get caught up on the terms. As always, you will get the quality of the work you pay for, so pay for the quality you want and you won’t regret. Limit the Number of Firms You Work With Working with 10 agencies may get you 10x the resumes, but it harms the power of your brand. Only entrust your story and reputation to a select few agencies because becoming old news will limit your access to the talent pool you need. Seattle
  10. 10. 10 In Short… If You  Know what you want  Work with trusted resources  Ensure you are not offending the community  Uphold your reputation You’ll have better access to the type of talent you want to hire and who want to work with you. Seattle
  11. 11. 11 Finding the Elusive Flying Rainbow-Unicorn-Cat Whether you’re an active or passive candidate, or part of a company seeking hiring help, connect with Open Source & Big Data Manager Lindsey Thorne: lthorne@vaco.com Seattle

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