The same reason why some folks on this app ask questions like these - I earn inr 70L at 2 yoe. Is it enough ?

This is a genuine question mahn. Don’t you think people should accept the fact and not being fake. People are really working hard for their jobs and if someone inexperienced comes without any knowledge and by only putting fancy things in the resume just for the sack of getting job then people who are actually genuine will suffer and their work load will increase because of these shitty people in the team.

System Engineer

Engineering Manager

Software Developer

I have wondered the same thing as well. The names of some roles of data science in some companies are actually "analyst" or something, maybe that's why. Not sure but it's not fair tbh.

Senior Data Scientist

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 reall...

Welcome to Data Scientists's Private Community

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??

Why some data analysts call themselves Data Scientists??- Grapevine

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...

Welcome to Software Engineers's Private Community

Got a data science internship in a mid size indian startup and working on some projects from scratch. Currently I know ML, Python, MYSQL, data analytics, django(basic)

What will be the next things I have to learn with internship and how can I see my career progress in data science domain??

What's the next step?

I have had a doubt for long time weather data scientist know ai and ml, or is it a completely different role.

Data science, Ai, Ml same?

Welcome to Indian Startups's Private Community

Hi,
I am writing to express my sincere interest in Data Scientist position.

As a seasoned professional with almost  2 years of hands-on experience in data science and  machine learning and a proven track record of successfully implementing data science solutions. I have worked for big clients like Mastercard too. I am eager to contribute my skills to your company too.

If any reference can help me find new opportunities then please let me know.

Thank you

Role of data scientist

Data Scientist

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

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

Myths busted by a Data Scientist

I have seen from the place I work at that growth (in terms of monetory benefits and opportunities) is much better for SDE folks than Data Science people.

1. For freshers it's easy to learn to write css and get complete responsibility of a task henceforth on completion getting more recognition and praise than in Data Science. Good tasks are almost never given directly to freshers due to steep learning curve in the field hence leading to lower growth rate.

2. SDE folks generally have tasks divided into sprints which make them a lot more easily trackable and appreciable at reviews, whereas in DS at least at the place I have worked tasks are given haphazardly and almost never account to much while reviews.

3. Another observation is that folks who have worked for about 3-4 years in SDE profiles have now become team leads whereas DS folks have not been promoted at the same pace 

Looking at all this, in my opinion data science folks are treated as second class citizens as compared to sde folks.

All this might not be true for all the firms, and I want to know if anyone else has some views on this.

I'm frustrated!

Growth In Data Science vs SDE profile for freshers

Welcome to Office Gossip's Private Community

I always come across these profiles and JDs which mention "Computer Scientist I/II" at Adobe. Are they real computer scientists? Do they invent things? Are they the ones working with NASA, MIT, STANFORD, Google Brain etc. 
I don't know if developing a framework qualifies you to call yourself a scientist. I don't know. Please shed some light.

Are computer scientist at Adobe real computer scientists?

Software Engineer

I am unemployed since 1 year,did not do anything for 1 year coz of some reason , earlier I was in QA but now want to get into development. Already 1 year is gone which is big enough career gap and I am panicking. Now I am not able to understand whether I should join any software development course like Crio or shall I join any Data science/ML course. Whatever I have to do it will take 6 months more , but I guess I have no choice. I know basic nodejs and all but no knowledge of Data science however DS will be more in demand in future so that is why I am thinking about that. But I am not sure which one shall I take ?

I just wanted to know from folks that can anyone learn Data science in 6 months good enough to get a job or shall I opt for software development course. Also , if I shall go for data science course , please suggest me some good training institute for it.

Software dev or data science

India represents an untapped potential for greater Internet penetration+advancements in Speed compared to other advanced economies. 

This should ideally unlock greater data generation per capita. This will ideally allow us to map geo-specific patterns across e-commerce/social-networks/OTT/Finance/Healthcare/EdTech etc. 

Data as a moat may just be real. Think of how you can switch to:
(in this order of preference)

Data Engineering > ML/AI/Data Science > Analytics

Having YOE under your belt when the wave picks up will take you further than anyone else.

Image Source: From r/dataisbeautiful on Reddit.

[Take] If you are in Data, you might make a lot of money in the next 10 years...

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

Consultant, Investment Banking went from sought after careers to fads post 2008 crisis when the world realized that these folks are crooks due to their role in propogating the Great Financial Crisis.

Given the backlash tech companies has been getting and global layoffs, will Product Manager also become a passing fad?

Seeing lot of anti Product Manager sentiment on this app off late. Was Product Management also a fad?

Someone here said engineers can become PM but PM can't become engineers. It can't be more correct than this. But reality is, it sounds goods only in theory.  
  
  I asked this same question to my director, why have you hired us when engineers clearly know more about products than us and are capable?  His answered that before the organisation formally created a team of product managers, it was only engineers that were handling product for decades. But that resulted into substandard products being developed, chaotic product release and consistent drop in revenue. The reason being engineers became backlog managers and engineers beging engineers, never focused on business value. Instead, they focused on technical aspect heavily. Engineers never bothered to check if what they were developing will actually sell in the market or not.  
  
 And mind you, this was a product that all of us use in daily lives. The numbers of users in India alone would be millions. So to summarise, yes, engineers can become PMs but generally they stay loyal to their pedigree of BE/B.Tech and become very shitty PMs. They like to have more technical conversations than strategic discussions and hate things that are not quantifiable, subjective. And business facing people here in forum would know, things are always not quantifiable in business planning, market outlook. It is based on assumptions.  
  
 An excellent PM would be someone who is an engineer but knows how to focus on business value of the product, make it customer oriented etc. I had the pleasure of working of one such PM in my last stint and he was truly outstanding. CEO knew him personally and this is in an organization with thousands of employees

Program Manager

Which job looks cool from outside but it's not ?

Saw a friend update their past role on LinkedIn . From data scientist to AI engineer.

What's the criteria that decides or makes a person an " AI/ML engineer " ?

Why some data analysts call themselves Data Scientists??

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