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Alooba
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Приєднався 3 вер 2020
Don't Hire A Lemon - Skills Tests To Hire The BEST Talent
Aman Aneja on Redefining Data Leadership and Adapting Hiring Practices in the AI-Driven Hiring Era
In this episode of the Objective Hiring Show, host Jim converses with Aman Anija, Director of Analytics at Growth Equity Fund based in London. Aman shares his career journey, from his extensive eight-year tenure at Oyo, evolving through various roles, to his current position. The discussion highlights key aspects of modern hiring practices, emphasizing the growing importance of adaptability, willingness to learn, and data storytelling over traditional coding skills due to advancements in AI. They also touch upon the challenges of screening candidates in an era where AI-generated CVs are becoming common, and the potential need for new data sets for candidate evaluation. The episode concludes with a reflection on the indispensable human element in hiring and the impact of AI on recruiting junior versus senior resources.
Show Notes:
00:00 Introduction and Guest Welcome
00:54 Career Journey and Experience
04:17 Current Role and Responsibilities
08:45 Hiring Practices and Candidate Evaluation
20:59 Impact of AI on Hiring
24:19 Challenges and Future of Hiring
40:40 Concluding Thoughts and Farewell
#LeadershipJourney #DataScience #AIAdoption #HiringTrends #CareerGrowth#Analytics #TeamManagement #TechInterview #JobInterviewTips #CareerAdvice #BusinessIntelligence #CloudMigration #EmployeeDevelopment #TalentAcquisition #FutureOfWork
Visit Our Website: www.alooba.com/
Show Notes:
00:00 Introduction and Guest Welcome
00:54 Career Journey and Experience
04:17 Current Role and Responsibilities
08:45 Hiring Practices and Candidate Evaluation
20:59 Impact of AI on Hiring
24:19 Challenges and Future of Hiring
40:40 Concluding Thoughts and Farewell
#LeadershipJourney #DataScience #AIAdoption #HiringTrends #CareerGrowth#Analytics #TeamManagement #TechInterview #JobInterviewTips #CareerAdvice #BusinessIntelligence #CloudMigration #EmployeeDevelopment #TalentAcquisition #FutureOfWork
Visit Our Website: www.alooba.com/
Переглядів: 8
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Ohhh, im like an actual chemist. I was wondering what you were talking about because we do SO much measuring. 😂😂😂
What are you on about? Is this seriously a UA-cam short suggesting we limit the amount of people writing code? How does that help anything?
It wasn't a suggestion - it was an observation of reality. LLMs are now generating code and so humans are generating less code.
You and me both brother. It sucks for old fcuks like me. I don’t know what to do. I never learned python and that’s on me. But at the same time…it might be better for the world? Cause now it won’t be in the hands of techs like us..these new folks will have ideas and imagination that someone like me didn’t have because I was too busy learning and keeping up with dead tech.
If only we can get the people in tech to have empathy for all the people outside their direct financial interests :P
So true!
Thanks for an insightful discussion and thought provoking ideas on AI and hiring, thanks Alooba and Tim for the good initiative! Enjoyed being part of it 🙂
It was a pleasure having you on the show Bharat!
It's hard for me because I find it best to try and get what both need. If it's positive for both parties then why bother getting know someone.
If there's a short run transactional relationship that's mutually beneficial for both parties, then that makes sense. Business networking should normally be a bit longer term and therefore relationship focused.
I wish the norm was to give take home assessments to code a small project in a few days. Ask deep questions about the project to the candidate if their coding is satisfactory and move on to the next step from there.
Hours of work for a chance at next steps? You better be offering me life changing money for that.
Take home assessments have been very common, but not at the start of the process as they're a lot of work for everyone involved. Companies seem to be doing them less now because they think candidates will just use an LLM to solve. But is that even an issue? From your end, why would you prefer this approach?
@@aloobatests I make six figures as a dev. If you asked me to do hours of work for a chance at your job I'd straight up ask you when your daughter was coming over to go to work on me. No one worth hiring is going to sit through that. Have fun with your chat bots.
@@aloobatests Let me preface by saying that I know nothing about coding, but I just stumbled upon this video and found it interesting. Like you said, if you give someone a task to take home, and they complete it in a satisfactory way, does it matter what tools they used? Granted a broken clock is right twice a day and more examples of proficiency are needed but it's a start. Give them an assignment with a deadline. This will also speak to their time management skills. Then go over their process with them. If you're satisfied, win-win. I think in a general sense with hiring, I'd prefer a take home test that's an actual use case scenario than the usual "Tell us about a time you faced conflict in the workplace and how you handled it." then waiting around for weeks without a response. It's more upfront information for everyone involved on how work will actually work.
Right this isn't school if chatgpt can help you do your work faster its bad for the company if you don't us it
Honestly, I'd rather just take someone at their word considering they can pass a very basic and short test and they've got education (junior) or work (junior+) experience. Complicated tech interviews really show nothing a basic test doesn't. All you are doing is passing people who are not on an off day AND have the same vibes as the interviewer. The amount of time and money sunk into long and complicated interviewers probably drains way more money than just hiring someone and giving them 3 months to prove themselves. My team alone probably spends 1-2 engineer hours for each candidate and out of the 25-50 people we need to interview just to get a single candidate is absurd. Take into account all the other time and resources needed which might quadruple the time investment means that you are spending a whole hell of a lot of money when you ~could~ just hire at random have have pretty much the same if not better chance of the candidate being a better employee. Now the reason why I think you could might have a higher chance of getting a better employee is that a candidate might spend about a month going back and fourth between the steps of your companies interview process. If you could nab the employee on day one, not only are you going to get the employee closer to the time they did actual work meaning they need less refresher time, you could very well get them when they actually WANT to work for you rather than need the job out of desperation (This is more effective if the candidate left they previous role recently rather than several months ago)
That's a fresh perspective. Probably there's an overconfidence bias at play - we think we're much more effective interviewers than we really are? You mentioned your team currently has a longwinded process - do you think you can get it changed?
@aloobatests probably not. It's very standard in software engineering. Most companies I've interviewed with have at least a 4 step process. And most are roughly an hour at least. I've had my fair share of 6+ hour long single stage interviews.
theres nothing as dangerous as an opinion in the workplace
Probably depends on the work environment. Sounds like you've worked in some toxic ones?
@@aloobatests evevryone is a hr karen until there a heavy thing that needs to be moved
Overconfident assertions, like all the nonsense yall two are spouting?
What makes you believe they are overconfident?
Recruiters: My job is haaaaard and I have to read resumes for money. You don't understand I need to use ATS and AI to do my job. BUT HOW DARE YOU USE AI TO GET YOUR JOB!
I don't think many recruiters are saying that. It's more that AI has developed so rapidly, and candidates have adopted it much faster than organisations, so they're ahead of the game. The technology is so profound that it has broken legacy hiring processes that will now have to be reinvented. Interesting times!
Heh heh heh heh heh heh heh heh heh heh heh heh heh heh heh heh heh
What's so funny?
@@aloobatestsI’m imitating bevis.
Interesting use case
Indeed it is. Early days so far but it looks to be far more promising than manual human CV screening.
Liability. Thats why companies don't tell you why you have not been hired and that is why they don't even want to know why they did not hire you. Don't want anyone to find out when you accidentally rejected a candidate for an illegal reason. And better not know yourself otherwise you can no longer claim it was an error by a single employee.
There are indeed some markets like the US where litigation risk is always lurking in the background. In most countries, this is less of a factor, especially in smaller organisations.
It was great chatting with you Tim!
Thanks for joining Tim on the show Anthony. It was a pleasure to have your expertise!
Thank you for having Faye on, I enjoyed listening to both of your insights on the topic
It's our pleasure - Faye was a great guest!
I use GPT all the time in school and out of school. Never to cheat, but to research.
That's great to hear and it's such a powerful technology, so it's good that you're getting the most out of it.
Why would you expect a candidate to refactor his CV for every position it has to take on? It has become a discusting industry all this job planning and CV screening like every position is a Secret Service HRG.
Alexey points out that most applicants to any job are irrelevant. And if you do have relevant skills and experience now, it's actually easy to tailor your CV to the job, as ChatGPT or other LLMs can help with this adjustment. From our recent conversations with many hiring managers, it seems like now it is expected to have a tailored CV, especially because they're all reporting being bombarded with many very strong looking CVs, so if you didn't tailor it yourself, you're unlikely to be shortlisted for any interview. It's a tough hiring market out there, so we appreciate this might be hard to hear.
Now can we stop offering 'Entry Level' jobs that require master's degrees for things you don't need a degree to do? lol
100%
skill enhancement and learning are not optional nowdays
100%!
Interesting conversation on data roles and hiring process
Thanks for joining Tim on the show Praveen. It was a pleasure having you as an expert guest.
He didn't want to do one job for the rest of his life? Ok
That's not what Humberto said. The issue was the candidate not being motivated to excel in the role and already had their head elsewhere.
People are allowed to have other goals and ambitions. It's just the nature of jobs now. People realize there is much more to gain by moving companies more often, since corporations don't tend to give proper raises or incentives to stay. Sounds like the guy picked up real quick that it wasn't worth sticking around, and should be more of a reflection of the company, not the employee.
Thanks for having me on the podcast! It was a pleasure to exchange some ideas and share experience in hiring for tech roles.
Thanks for joining us Artur!
what? chatgpt tell me what she just said.
The closed captions are your friend.
it sadly has to do with being self absorbed. They saw no value in finding out about other people.
It could be that for some of them. Also for others who are very introverted, working in an office can be a struggle. It would be tough for anybody who was an introvert and then started their careers working from during Covid, which would only have exacerbated this introversion. It's a great tip from Matt to try to avoid being overly closed off at work and engage with your peers - good things will happen!
@@aloobatests That is true too, I should have been a little more kind than just describing them as self absorbed. Thanks for adding this to the comment. =)
I call this "social competence terror". You are hired to work with computers and machines all day but the most important is the 15 minutes you are in the breakroom and how popular you are. It is bullshit. My son is very intelligent and good hearted but he vill very likely have a hard time getting a job because of this terror. No wonder more the twice young guys kill them selves.
All data related roles involve a lot of human interaction and every hiring manager would place value in softer skills for this reason.
@@aloobatests I goes very wrong when all you do is to think about how people interact, dress them selves and act. It does not help on bit to actually solve the problems. I work as an engineer in a hospital and I am quite good at figuring out the departments needs and fix their problems without offending them, doctors have very fragil egos. It is often easier to get the truth and correct information from under nurses. Well, the biggest problem it the leadership that has no idea what we actually do and therefor ONLY fokus on what the ar good at. Numbers and human relations. So we have a management program that is so ill suited for the task and so slow it takes mush longer than the actual work to report it. Then we need to internally bill everything with pretend money that takes even more time. So basically we are working 25% fixing things, 25% to document what we did, then 50% producing meaningless numbers to meaningless people playing with pretend money. I am living in Sweden with state health care, so we are not really billing anyone. Throw out all the bosses, consultants and pretend economic people and we cost half the money for the taxpayer and do 2 times the work easy. Not stressfull as hell like now.
When the hiring department filters out 95% of the applicants for a job listing only active to obtain tax benefits and that is screened using AI to look for keywords, don't be surprised when applicants use AI to apply. It is a numbers game, if the majority of listings are fake, then why would anyone waste so much time in applying?
Interesting take and thanks for your contribution - what are the supposed tax benefits of posting job ads? Also, is there any evidence to share around 95% of job adverts being fake?
So the problem is that people are using AI to apply for the jobs that the hiring manager is using AI to screen candidates for? Shall I break out the tiny violin?
It does seem that both sides of the market are using AI increasingly, and it's got a bit of a race to the bottom feel about it.