Top Trending LinkedIn Posts about data scientist

If you are applying for Data Scientist roles, SQL is not optional anymore, especially for the product focused DS roles, it is a

Ever wondered what it’s like in the magical world of data?

🧙‍♂️ BI Engineers: Living it up in the Disneyland of data, where everything

𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗰𝗮𝗿𝗲𝗲𝗿 𝗮𝘁 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁?


Well thinking it only wont do much but taking action will 😆

🚀 Navigating Your Data Science Career: Join Our Exclusive Webinar! 🌟

Are you an aspiring data scientist eager to carve out your niche

Data Scientists vs. ML Engineers: How They Spend Their Time?

Many get confused, but here is my take on it.

Data Scientists:
-

There are two types of data scientists.

1. Who understands the missing data problem.

#datascience #datahumor #sharethis

♻️ Sharing this data scientist job opening with my data pros network.

Data Scientists use Python the most! 🔥

So, if you’re transitioning to Data Science, take the help of this doc, and prepare the most

One of the hot questions I get all the time: In data science, how does the skill level of statistics vs. coding align

Data scientists spend 60-80% of their time on 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴.
Here’s my step-by-step guide:

1️⃣ 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 & 𝗗𝗮𝘁𝗮:

Data scientist: "What's your thoughts on XGBoost 2?"

Leadership: "I've never heard of that LLM"

This is unfortunately too real 😭😭😭

Not every problem is

Data scientist: "What's your thoughts on XGBoost 2?"

Leadership: "I've never heard of that LLM"

This is unfortunately too real 😭😭😭

Not every problem is

Data scientists often do this *too late*👇🏼

When collaborating with engineers, data scientists often deliver the model to them at the end of the

Data scientists spend hours cleaning data.

You want to know the secret that separates the best from the rest?

Creating a "cleaning map" that you

Data Scientist Roadmap

A Step-by-Step Guide to Mastering the Essentials!

The journey to becoming a Data Scientist can seem overwhelming with so many skills and

Data scientists are spending more and more time maintaining their models.

Concept drift makes this process even more difficult. It occurs when

Here is a cool and creative innovation from data scientist Pratik Relekar, who developed a Python library to solve the problem of loading

Imagine you're a Data Scientist and the title 'Data Scientist' just got dropped from vocabulary or in other words- it does not exist

🚨 New Blog Alert: Product Data Science- can it be your career choice ?

Curious about what Product Data Scientists do and how

Data Scientist vs Data Analyst: the easiest way to tell them apart!

Here’s how their roles really differ: ⏬

By the end of this post,

'Data scientist' and 'data engineer' are titles. What you achieve is a direct result of your efforts.

As a data scientist, your role can

Data scientists—Are you ready for the new wave of opportunities coming your way? 🔍

As our industry evolves, so do the roles within

Data scientists - do you want to cut your data cleaning time in half ?

Want to focus on gaining

Data Scientists – are you struggling to boost your model’s accuracy without overfitting? 💡


1️⃣ Gather More Data
More data means

Data scientists don’t code 🧑‍💻

It is a popular myth, we need to retire - stat.

While we might not code as much

Data scientists are spending more time maintaining their models, and concept drift is one of the main culprits.

When the relationship between inputs and

data scientists should be held accountable for model’s performance after deployment

not operationally but strategically.

they know the techniques used to preprocess the training data

they

Data scientist learning Path!

Data scientists have a distinctive cognitive repertoire. While their academic backgrounds may vary—ranging from statistics to computer science to computational neuroscience—they typically share

Data Scientist in the past:

⏩ Focused primarily on building and deploying models
⏩ Success measured mainly by deployment metrics.

Data Scientist now:

⏩ Continuously monitors and