Datacenter People’s Post

How to Switch from Data Analytics to Data Science – From a Big Tech Data Scientist The only 5-steps roadmap you need. Your new career journey starts here! 🖋️ by Khouloud El Alami ⚡️

Non tech ➡️ 25 LPA+ as a Data Scientist✨🚀 LinkedIn is full of such success stories But the question I face daily is how do you actually do it? Which concepts do you learn and what kind of projects do you build? So, today, I’m sharing this FREE group session which can answer your questions. It is hosted by Varun Tushar Raste, Data Scientist with 5 years of experience. 📍Learn the foundational concepts and understand the entry point of this field. 📍Discover the salary trends, daily job roles and even programming languages required. 📍Get all your doubts solved and queries answered. Book your slot here: https://lnkd.in/gpm3Gah3 P.S.: Let’s build more such success stories and help our friends and community members do it, too💪🏻 Share this post with them! Preplaced Varun Raste

You're hired as a Data Scientist to solve specific business problems. So think about what types of problems you want to solve, and then build projects related to those problems (aka Tailored Projects). Otherwise you'll end up applying for any Data related role just so you can 'get something' and before you know it, you've applied for hundreds of jobs with no response. Tailor your projects to the jobs you actually want. To help you do this, I'm sharing my ultimate guide to Tailored Projects on Wednesday the 10th July, 09:30 am What would you like to see in the guide?

New Chapter of Data Engineering with Prophecy 🔥 Day-1 at the amazing workplace and good time with enthusiastic team ✌️ Thanks Deepa. Mohan. U.M for smooth onboarding 💯 Looking forward to learn and contribute in new Data Engineering use cases ✅ #newjob #dataengineering #firstday

𝗪𝗵𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝗹𝗲𝗮𝗿𝗻 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲? 👇 From expanding your skill set to unlocking new career opportunities, here's how data science can future-proof your career in tech! Interesting in learning more? Join our upcoming panel discussion on Why Software Engineers Should Learn Data Science here: https://lnkd.in/guEvq2Zq #DataScience #TechCareers #SoftwareEngineering #TechSkills 

"Thrilled to join [NullClass] as [Data Scientist]! With a drive for excellence and a passion for Data Science, I'm ready to dive into impactful projects and collaborate with talented minds. Let's turn ideas into innovations and challenges into opportunities. Connect with me as we embark on this exciting journey together! #NewBeginnings #Innovation #NullClass"

When you're hired as a Data Scientist, you might end up doing engineering work most of the time. This can be frustrating, especially if you were expecting to use your data analysis skills more frequently. However, there are ways to make the most of this situation. By collaborating with engineers and learning from them, you can become a more well-rounded Data Scientist. #dataengineer #dataengineering #programmerhumour #codinghumor #justunderstandingdata

Everyone is bragging about their morning routines. But the real magic happens when you clock out with these 4 simple actions: Trust me, I got back 2 whole hours of 'me time' every night. So there I was, fresh out of grad school, landing my first data science gig. Exciting, right? Well, kinda. My poor laptop and my brain never got a break. And I was wondering where my evening went. Then it hit me: I needed a shutdown ritual. Just 15 minutes to wrap things up properly. Now, I do these 4 simple actions: • Close those 27 open Stack Overflow tabs • Commit my code  • Check my to-do list for the next morning • Go on a walk outside This little routine? It's like putting up a big old "No Trespassing" sign for work stuff. Here's a tip: Set your Slack to "Away" at 5:45 PM. That's your cue to start shutting down. And suddenly, you've got time for that side project. Or, you know, actually having a life. ____ Find this valuable? Repost to share with others ♻️ And follow Penelope Lafeuille for more on Data Scientist Stuffs + Health + Tech If you enjoyed these, click below to jump to my newsletter, where I help recent graduates build a successful career in Data Science.

3 Ways Software Engineers and Data Scientists Can Work Better Together Read Here: https://lnkd.in/dkA8Ahx7 #PerfectTimingHolding #PerfectTimingTechnologies #SoftwareEngineering #DataScience #TechCollaboration #Teamwork #DataDrivenDevelopment #TechPartnership #CrossFunctionalTeams #CollaborationTips #EngineeringAndDataScience #TechSynergy #CollaborativeInnovation #DataEngineering #ProductDevelopment #TechTeamwork #EfficientCollaboration #DataIntegration #SoftwareAndData #TechProductivity #InterdisciplinaryTeams #BetterTogether

Statsig is growing fast, and we are hiring! This is the JD for senior data scientist, Timothy Chan is the hiring manager: https://lnkd.in/gga6BkPe This is the JD for engineers, Marcos Arribas is the hiring manager: https://lnkd.in/gvKtAJre And this is JD for account executives, Sam Maher is the HM: https://lnkd.in/gw5JEPxh But wait! Before you leave a comment or DM them that says "Interested", I highly encourage you to take a look at this video, about how to become the 2% of the applicants who are actually being considered: https://lnkd.in/gGXpp6P6 If you want to get the hiring managers' attention. I advise you to seriously consider at least three questions 1. What are their non-negotiable requirements, and do I fit? 2. What's their working style, and do I like it? 3. What's their mission, and do I agree? Start with the answers to these three questions. You will go a long way.