Anurag Kumar’s Post

I'm now in a position to share some information, from the perspective of a #hiring manager, about my entry-level #datascientist position that was closed today. I'm sure a lot of you #opentowork have heard about how insane the current #job market is. I must say that in my 8 years as a hiring manager, I've never seen anything like the hiring process that was just completed. • 7,489 applicants (this was *not* a one-click apply) • The position was posted on a Friday night and by Monday morning there were ~1,850 applicants • Hundreds (I didn't even try to keep track) of DMs and emails from candidates • Dozens (maybe over one hundred) of DMs and emails to my co-workers • Many applicants with a PhD and/or industry experience • Many (I won't give exact number) recruiter phone screens conducted by my partner in HR, based on a vetting script I provided • One final-round programming assignment given and completed (by the eventual hire) • Two people hired: one part-time intern that wasn't originally part of this requisition (a backfill for a current intern who landed a full-time job with another company) and one full-time entry-level data scientist Over the coming days and weeks, I'll post information about my hiring process that I hope both hiring managers and job seekers will find useful. #llms #generativeai #ai #chatgpt #data #dataengineering #research #datascience #statistics #math #industry #largelanguagemodels

What's happening to Data Science Industry in this Layoff scene? .. .. Current Hiring Situation! -Hiring is comparatively slow. -The tech stack required has become complex. -Experienced people who were laid off are the first choice. -GenAI has become a must for some roles. -Instead of advanced skills being a plus, they are now compulsory. Affected by Recessions From a financial standpoint, the number of new opportunities is not increasing at the same rate as it was two years ago. Affected by Technology There is not much effect, as data analysts and data engineers are quite flexible fields that open up many new opportunities for technological advancement. So all in all, As a fresher, You need good end-to-end projects that cover traditional ML as well as new things like GenAI. Plus, you need a really good grasp of fundamentals. You might not get the ideal job title or your dream CTC right now, but this would be enough to get you started. And don't compare your situation to the hiring situation two years ago. There was a hiring rush at that time, but now it has become slow. As an experienced professional, make sure if you are choosing a role change, it is a secure one. You can ask HR openly about job security, as it is most important. Technically, the benchmark is a bit higher now, so no matter what your last designation was, if you want to stay in the industry, you need to upskill! Summarizing, Luckily, the hiring for data professionals has not taken that big a step back; it's happening at the right pace. Just the expectation from individuals on the technical level has increased a lot! #datascience #motivaton #layoffs #hiring #freshers #datascientists #opportunites #goals #opinions

This is how crazy it is our current tech job market scenario . Thanks Brian Streit for the insight

🌟 Keep Going Until You Reach Your Dreams 🌟 Imagine your dream is a mountain. At first, it looks tough to climb. But every day, you take one step closer. Some days are easy and some days are hard. Sometimes you might trip, but you always get back up. As you climb higher, the view gets better. You meet others on their own journeys, and you inspire each other to keep going. Even when it gets tough, you remember why you started. Finally, you reach the top. The journey was worth it, and the view is amazing. Keep going, no matter what. The reward is incredible. 🌄 #NeverGiveUp #ChaseYourDreams #JourneyToSuccess #StayInspired #KeepClimbing #Motivation #Inspiration #DataScience #CareerGoals #JobHunt #TechJobs #JobSearch #dataanalytics #hiring #corporate #AI #freshers #corporate

🚀 Dreaming of becoming a Data Scientist at top tech firms? Let's visualize your future success! #DataScience #CareerGoals 💼 As a Data Scientist, you'll be analyzing complex data to extract valuable insights and drive strategic decision-making. #DataAnalysis #CareerInsights 💰 Starting salaries for freshers in India range from ₹6-10 lakh, while experienced professionals can earn up to ₹25 lakh or more. #SalaryRanges #CareerGrowth 🌐 The scope for Data Scientists in India extends across industries like healthcare, finance, and e-commerce, offering diverse career opportunities. #CareerOpportunities #IndustryDemand 🔍 Develop strong analytical and programming skills to pave the way for a successful career in Data Science. #SkillsDevelopment #CareerPreparation 💡 Pro tip: Showcase your problem-solving abilities and practical experience with real-world projects during interviews. #InterviewTips #SuccessStrategies 🏷️ #DataScienceJobs #DataAnalyst #TechCareers #CareerDevelopment

Data Science Jobs are predicted to grow by 36% from 2021 to 2031. However, despite layoffs in various industries worldwide, the field of Data Science appears to have a promising future. Why so? — In 2023, the professionals who are 2-5 years experienced saw a 13% point increase in job openings. Now, from shaping strategic decisions to revolutionizing customer experiences, Data Science professionals are at the one who is at the forefront of innovation, driving tangible impact. Let’s take some real examples: FAANG - Facebook, Apple, Amazon, Netflix, and Google are already actively seeking data science professionals. Apart from them, some of the other key recruiters are Bain & Company, Deloitte, and Ernst & Young Now, the best part is that not just the corporates, but the Government individuals are also embracing data-driven cultures. And big data analytics technologies are driving the increasing profitability of this sector. From healthcare to finance, retail to technology, job opportunities are arriving in almost all fields. To contribute to this revolution, we at asterion have helped multiple Enterprises and Startups by building a high-performance team that not just understands tech and data but lives it too. #recruit #datasciencejobs #employement #hiringprocess

📊 Data science jobs are increasing in demand as big data and technology industries grow. 📈 Data science jobs are becoming commonplace and necessary for companies across the globe to optimize quality and financial growth. Let’s dive into some of these in-demand roles and find out which jobs are the hottest. All salaries listed below reflect the average total pay in India as of November 2023 and include base salaries. 💪🏽 💯 #datascience #datascientist #dataanalyst #mlengineer #ml #ai #tech #career

🚀 Imagine stepping into a world filled with endless possibilities, where every line of code you write or data you analyze has the power to change the future. That's the life of a Data Scientist! 💻📊 Data Scientist: Dive into the world of data, uncover valuable insights, and drive business decisions. Freshers can expect a salary range of INR 6-10 LPA, while experienced professionals can earn upwards of INR 15 LPA. In India, the demand for Data Scientists is skyrocketing across industries like IT, healthcare, finance, and more. Stay ahead of the curve by equipping yourself with both technical skills like Python, R, and SQL, as well as soft skills like critical thinking and problem-solving. #DataScientist #DataAnalytics #CareerInsights #TechJobs #FutureSkills (PS: What if your calling lies in decoding patterns and predicting trends? Data Science might just be your dream career path!)

🚀 Imagine a world where you are a sought-after Data Scientist, deciphering complex trends and insights to drive innovation and change. The future is bright with endless opportunities in this dynamic and evolving field! 💡 Data Scientists play a crucial role in converting raw data into meaningful insights to make informed business decisions. Freshers can expect a starting salary range of ₹6-8 LPA, with experienced professionals earning upwards of ₹15 LPA and beyond. In India, the demand for Data Scientists is booming across industries such as IT, healthcare, finance, and e-commerce. Companies are constantly on the lookout for skilled professionals who can leverage data for competitive advantage. To excel in this field, you need a mix of hard skills like programming, statistical analysis, and machine learning, along with soft skills such as problem-solving, communication, and business acumen. With the right blend of expertise, you can easily secure a lucrative job in Data Science and embark on a fulfilling career path! #DataScientist #DataScience #CareerOpportunities #SalaryInsights #JobSkills #TechTrends #FutureTechJobs Remember, paving your way towards a successful career in Data Science begins with acquiring the right skills and staying ahead of the curve. Start your journey today! 🌟

🌟 Imagine yourself excelling as a Data Scientist at top companies! 🔥 Did you know that Companies that make use of customer analytics are 23 times more likely to outperform their competitors in customer acquisition (nine times for retention), according to McKinsey. 👩💼 As a Data Scientist, you get to analyze complex data and drive strategic insights. 💰 Salaries for Data Scientists range from Rs. 6-12 LPA for freshers and can go up to Rs. 25 LPA for experienced professionals in India. 🇮🇳 Data Science offers vast opportunities in various industries in India. 🔑 Develop strong analytical and programming skills to secure a job in Data Science. 🤖 Interview Question: What is the importance of feature scaling in machine learning? 💡 Interview Tip: Showcase your problem-solving skills during technical interviews. #DataScienceJobs #CareerOpportunities #BigData #MachineLearning #DataAnalytics