Hiring perspectives

I have two candidates

• Candidate #1 - Cleared Data Science Test, Good Deep Learning, Has not worked in Pharma domain but good at ML
• Candidate #2 - Just passed ML Test, No Deep Learning Expertise but worked in Pharma, Has domain and insights, Data knowledge

Both performed well in other behavioral rounds. If we end up hiring multiple types of Candidate 1 effectively you will end up with #duplicate skill set. I would prefer to have a mix of both in a team. Skills need to complement and add different perspectives to the problem. In a team, we need a combination of both #1 and #2. We need to have different #proportions of #skills and assessments to get a good mix of talent that can look at #same #problem in multiple #perspectives

Keep Thinking!!