4 common mistakes of junior data scientists and how to fix them
Providing too much details/over-explaining is so underrated it’s almost a career crime.
The more senior your audience, the fewer words you should use.
It’s as if the air gets thinner the higher you climb the corporate ladder: words are oxygen, so we should not waste them.
That’s a great analogy! Going to steal it next time :)
Glad for inspiring you 🙂
People take you seriously when they see you differently—not just when you speak louder.
The real shift is helping them reframe your role. From “supportive teammate” to “strategic thinker.” From “helpful” to “essential.”
You don’t need to crank the volume. You need to change the channel they’re hearing you on. Background music doesn’t get center stage.
being carefully opinionated is very strategic.
You nailed all the mistakes I did in the past, and when I wasn't so junior.
Being concise, having strong opinions, communicating clearly the why, etc. All of this is not easy but can be learned.
Thanks for the great post, Tessa!
Providing too much details/over-explaining is so underrated it’s almost a career crime.
The more senior your audience, the fewer words you should use.
It’s as if the air gets thinner the higher you climb the corporate ladder: words are oxygen, so we should not waste them.
That’s a great analogy! Going to steal it next time :)
Glad for inspiring you 🙂
People take you seriously when they see you differently—not just when you speak louder.
The real shift is helping them reframe your role. From “supportive teammate” to “strategic thinker.” From “helpful” to “essential.”
You don’t need to crank the volume. You need to change the channel they’re hearing you on. Background music doesn’t get center stage.
being carefully opinionated is very strategic.
You nailed all the mistakes I did in the past, and when I wasn't so junior.
Being concise, having strong opinions, communicating clearly the why, etc. All of this is not easy but can be learned.
Thanks for the great post, Tessa!