are there different types of ds? what should i know if i am looking for a data science job?

Mathematics , Statistics and Python are the three pillars if you want to get started. to be very specific Linear Algebra, Calculus in Maths

Data Scientist

There are no different type of DS . As a DS you are expected to solve the problem even any data or whatever the data can give you. Data is not restricted to any industry.

Software Developer

AMA.. Questions can be anything related to Data Science and how does a day to day pan out for a data scientist , does FOMO really affect one’s career in DS

Welcome to Data Scientists's Private Community

Myths busted by a Data Scientist

Myths busted by a Data Scientist- Grapevine

Welcome to Business Roles's Private Community

AMA. How does a day to day pan out for a data scientist, Who is data science not really for, Does FOMO really affect my career in DS

Welcome to Software Engineers's Private Community

People working in Data Science how does your Day to Day looks like ? Is the Market really good for Data Science right now? Carrer Aspects of the field ? And how much can a fresher make ?

People in Data Science !!!

Welcome to Product Managers's Private Community

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it

A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup 
I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that.

Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI.

Look forward to all questions :)

AMA 🎙️: Hi, I am diffusedbandit, Senior ML Engineer at an Indian Unicorn

I don’t get it, some people who works only in excel and have no knowledge of mathematics behind ML AI models. Also have no background in coding are calling themselves Data scientists. Is this really a justice with the role of data scientist??

Why some data analysts call themselves Data Scientists??

Talking to my nephew nowadays seems like the AI bug has gotten to him. Even going back during the early parts of my own career and even undergrad, ML and stats was still a fledgling field. Most of the smart folks went into SDE roles at top tech.

I still remember that even back then, hiring for roles like these were extremely theoretical. You would test even experienced candidates with undergrad topics which was slightly outdated tbh because most of the functions were abstracted away and it is obvious that you would not remember the matrix approach to finding weights for a simple linear regression model.

Has this changed now? Because I don't think interviews like that actually evaluate the accumulated wisdom that experienced professionals bring to the table.

I mean it is generally a waste of time for anyone to brush up manual derivations or remember SQL niche intricacies. Usually it is better to test for the 80% knowledge that is actually useful on a day to day basis. I mean if the main things that companies test in experienced candidates is something that can be rote-memorized from a book then they are not testing the right things no?

What do you all think? Just wondering about this for some time now especially considering the hype around AI?

Is Data Science a bad bet for your career longevity?

Product Manager

I spoke to an experienced guy in the IT sector who has worked in many FinTech firms and consulting companies. He said when the data science hype started several years back, companies started getting funds from venture capitalists to set up data science wings . Companies went on a hiring spree with this money to hire data science professionals.

However, as the years passed, these data science departments failed to generate revenue as expected. Also, some aspects of data science will very likely be automated. So companies will probably hire less data science professionals and may even fire the resources hired earlier.

source: https://www.reddit.com/r/developersIndia/comments/zzji46/is_data_science_a_bubble_about_to_burst

Data Science Bubble is about to Burst...

Just curious about what others think here.

From someone I met yesterday, they concluded that it might not be dying but it has gotten extremely competitive at entry levels. It might be dying for the extreme noobs probably because these noobs can find better jobs (money/effort) in Product Management or Founder's Office yada yada.

Personally, it’s highly competitive now. I mean it was always easy to get in with a masters degree. Now it is hard to get in even with a PhD.

True, people get hired without masters degrees but only a small fraction of them are doing really great work. Your skills to progress matter more than a piece of paper here.

But Is data science still worth it in 2024?

Is data science still worth it in 2024?

While job hunting I was asked if I had any experience as a Data Scientist. 

No, not officially, I had taken part in the Kaggle Competitions.

Not even a freelance experience.

How do you get your first data science job?

How do I land my first Data Science job!?

Data engineer

I've seen a glaring issue with DS in India: desis don't genuinely want real insights. The boss only want insights that agree with his gut feeling. I always thought that we had to uncover truths.

The moment your analysis contradicts the boss's intuition, your work is dismissed. It’s disappointing as fuck. Unless your product is uniquely DS/ML/AI-led, you are mostly a yes-man, bending data to fit a narrative that keeps the management comfortable. The truth? They don't want innovation or disruption; they want affirmation of their outdated ideas.

This attitude fucks up creativity and growth. How can I progress when data is manipulated to pacify your ego. The truth is that ego leads to poor decision-making and business failures.

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