{ "media_type": "text", "post_content": "Any data scientists here whose day to day doesn’t involve much ML and is more focused on analyzing/visualizing metrics? I’m coming from a role that’s v heavy in predictive modeling (which I like), and I’m interviewing at a social media company with a team that focuses more on analyzing the outputs of a modeling team. Is it hard to switch to a more ML heavy role later on?", "post_id": "61e59dd41a742500284fc47a", "reply_count": 6, "vote_count": 1, "bowl_id": "55375ce690f5eebe1d2a0f88", "bowl_name": "Tech", "feed_type": "crowd" }

Any data scientists here whose day to day doesn’t involve much ML and is more focused on analyzing/visualizing metrics? I’m coming from a role that’s v heavy in predictive modeling (which I like), and I’m interviewing at a social media company with a team that focuses more on analyzing the outputs of a modeling team. Is it hard to switch to a more ML heavy role later on?

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My previous role was more focused on analytics than ML. It depends on you, and your skillset in ML heavy subjects. If you spend time on your own learn/work on ML prpjects, you’ll be fine to switch later on. I personally was behind, but studied and caught up with ML heavy subjects when I started interviewing for ML heavy roles.

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Exactly, I think it depends on what you're most interested in OP

It may be a bit challenging but it's definitely doable.

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Why not stick to the heavier predicitive modeling if you enjoy that more? I think you may be pigeon holed down the road especially if this social media company is TikTok 😅

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😳 lol. Are you speaking from experience w TikTok?

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