Dating Your Data Science Team - things to look for when working on a team @stratascratch
Dating Your Data Science Team - things to look for when working on a team  @stratascratch
Uploaded September 2024 | Updated September 2026, 1 hour ago
Tired of data science teams that underdeliver and overpromise? Discover the red flags that can ruin your data science projects and the green flags that signal a thriving partnership. Learn how to avoid common pitfalls and find the perfect data science team for your business.

Key Takeaways:

β—‰ Red Flags: Ignoring software engineering practices, neglecting model validation, unclear business alignment, chaotic team structure, and lack of end-to-end involvement.
β—‰ Green Flags: Strong software engineering practices, rigorous model validation, clear business impact, diverse and collaborative teams, and a focus on simple, effective solutions.
β—‰ Build a successful data science team: Identify the red flags to avoid, prioritize green flags, and foster a positive team culture.

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Timeline:

Intro: (0:00​​​)
Red Flags: (0:17)
Green Flags: (3:15)
Conclusion: (5:36)

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About The Platform:

StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+things+to+look+for+in+ds+team) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.

So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+things+to+look+for+in+ds+team. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.

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Contact:

If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at team@stratascratch.com

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Dating Your Data Science Team - things to look for when working on a team

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