Lead Data Scientist

Find your next A-game Lead Data Scientist with these sample interview questions. Don’t forget to add questions specific to your company’s position requirements.

Lead Data Scientist qualifications to look for 

The Lead Data Scientist needs to be a jack-of-all-trades when it comes to developing data driven products and architectures.

Your top data scientist will tackle the efficient orchestration of a highly technical team. They should have an in-depth understanding of the challenges of the different roles that comprise your entire data science team. 

Look for a candidate with data management experience who has worked in a team. They should have both a strong theoretical background in fields such as machine learning and predictive modeling and strong software engineering skills. 

Keep an eye out for candidates who have:

  • Solid communication skills
  • Strong organizational skills 
  • The ability to mitigate risks 
  • A strong understanding of data-driven services at the product level

Top tip: Diversity is key to a thriving workplace. Keep an eye out for management and exec-level candidates from varying backgrounds and aim to eliminate bias from your hiring process.

Problem-solving interview questions

  • Tell me about a data-driven product that has really impressed you in recent years.
  • What qualifications do you look for when you want someone to join your data science team?
  • Explain big data in simple terms? 
  • What are big data architectures?
  • What are some common pitfalls and risks in planning a data science project? 
  • What is the largest team you’ve managed? What challenges did you face? What did you learn from them? 
  • What’s your experience managing agile teams?
  • What do you need to know in order to interpret whether or not it's good that a model performs 90% accuracy?
  • Describe a product that uses data from twitter to build something that people could conceivably pay money for.
  • How do you stay current with data science information?  
  • How would you evaluate a feature such as Instagram’s Explore aggregate?

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