Dataworks’ Post

Have you experienced the frustration of losing a perfect candidate for your Data/ Data Science team because the hiring process took too long? It is common due to a lengthy internal approval processes to lose out to a competitor who moved faster. This missed opportunity costs not only in terms of project delays but also in losing a competitive edge. Here are some actionable insights to prevent this from happening in your organisation: Streamline Your Hiring Process:  Simplify the steps and reduce the number of interview rounds. Use initial screenings to filter candidates effectively. Empower Your Hiring Managers:  Give them the authority to make quick decisions without waiting for multiple layers of approval. Create a Talent Pipeline:  Always have a pool of pre-screened candidates ready to go, so you can act quickly when a position opens up. Enhance Candidate Experience:  Communicate promptly and transparently with candidates. A positive experience can keep top talent engaged and interested. #AI #DataScience #AIJOBS #AIcareers #AIStartups #MachineLearning #DataEngineering

𝐖𝐡𝐲 𝐘𝐨𝐮 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐥𝐰𝐚𝐲𝐬 𝐀𝐜𝐜𝐞𝐩𝐭 𝐚𝐧 𝐈𝐧𝐯𝐢𝐭𝐞 𝐟𝐫𝐨𝐦 𝐚 𝐑𝐞𝐜𝐫𝐮𝐢𝐭𝐞𝐫 😒 And yet again, another invite from an incredibly annoying recruiter. You know the type: they don’t know your expertise, they don’t know anything about the industry you’re in, and they don’t share relevant vacancies with you. Not only are you not looking for a job right now, but it feels like a complete waste of time. 🚫 Decline... But wait, let’s reconsider for a moment. 🤔 What if your situation changes and you start looking for a job? The one, two, ten, or hundred recruiters you declined will never reach out to you again. So, maybe it's time to accept the fact that some of them will be annoying. Here’s the twist: your expertise is in demand, and you know you can land a new job just like that. 💼 😎 Perhaps even with the help of a recruiter. Not all of them are cowboys 🤠, trying to shoot you with automated mails and shove vacancies down your throat. Some might actually help you find that perfect opportunity. So, next time, think twice before hitting "Decline" on that recruiter invite. It could be the key to your next big career move! P.S. Looking for a job in AI, Data Science, MLOps, or Data Engineering? Please send me a request. I will always accept 😊✅. #recruitment #linkedin

Happy Tuesday Peeps 😎 As an IT Recruiter specializing in the dynamic world of Data, I connect top-tier professionals with companies that need their expertise. Whether you're looking to fill roles in Data Science, Business Intelligence, Machine Learning, or AI, I can help you find the perfect match. If you're a candidate seeking new opportunities or a company in need of exceptional talent, let's connect! 🤝 Reach out today to discuss how we can achieve your goals together! 💙 #DataRecruitment #ITRecruitment #MachineLearning #ArtificialIntelligence #BusinessIntelligence #DataScience #Hiring #JobSearch

Are you a business owner looking to take your company to new heights? Are you seeking skilled professionals who can help you innovate, scale, and stay ahead in the competitive tech landscape? Look no further, as Talent Radar is here to assist you! Talent Radar is a powerful platform that connects businesses with highly skilled professionals in the tech industry. We understand the challenges faced by businesses in finding the right candidates who can contribute to their growth and success. Our tech hiring solutions aim to bridge this gap by providing access to a vast talent pool of qualified individuals. Our extensive database houses a wide range of tech professionals, from developers and engineers to data scientists. Our rigorous screening process ensures that only the most qualified individuals are included, allowing you to connect with top talent. Unlock your Business Growth by sending a DM or clicking on the link in the bio to speak with the team. #talentradar #talent #techhiring #hiring #machinelearning #softwareengineer #datascience

Hello LinkedIn community! As we dive into the promising landscape of the end of Q4, I'm eager to share some market insights in the dynamic realm of machine learning and data science. 📊 Market Insights: The demand for machine learning and data science talent continues to soar, indicating the pivotal role these fields play in driving technological advancements across industries. Companies are increasingly recognizing the need for skilled professionals to harness the power of data and turn it into actionable insights. 🔍 Exploring Opportunities: As a technical recruiter specializing in Machine Learning and Data Science, I'm on the lookout for exceptional talent. If you're a professional in this space looking for new opportunities or if you know of companies actively seeking skilled individuals, let's connect! I'm keen to explore potential matches that align with both talent aspirations and company needs. 🤝 Open to Partnerships: In the spirit of collaboration, I'm also open to discussions about potential partnerships with organizations that share a commitment to advancing technology. If your company is exploring collaborations in the recruitment space or if you have insights to share, feel free to reach out. Let's make Q4 a quarter of growth, innovation, and exciting opportunities in the ever-evolving field of Machine Learning and Data Science. Comment, message, or connect directly to start the conversation! #Q4 #MachineLearning #DataScience #TechRecruitment #MarketInsights #Partnerships #CareerOpportunities 📧 [email protected] 📞 929-432-7530

Have you ever felt like you're fighting through a crowd just to get noticed in the job market? Instead of competing with thousands for the hottest jobs, why not be the one who spots the overlooked opportunities just waiting to be discovered? Here are some practical tips to find low-competition, high-reward opportunities. 1) 𝐓𝐚𝐫𝐠𝐞𝐭 𝐍𝐢𝐜𝐡𝐞 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: Dive deep into the operational model of your target domain. Like a treasure map, it leads you to opportunities others miss. For example, in the data realm, while the masses chase the title of Data Scientist, the shrewd few eye the lesser-known yet crucial roles like Data Management and Quality Analysis. 2) 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐁𝐫𝐨𝐰𝐬𝐢𝐧𝐠: Don't just focus on the top pages of the linkedin job list. Use posting times smartly to sift through the latest opportunities, try starting from the last page and working your way forward and you'll find many positions that aren't being applied for by enough people. 3) 𝐓𝐫𝐲 𝐉𝐨𝐛𝐫𝐢𝐠𝐡𝐭.𝐚𝐢: Our AI job match system will find jobs where users will be top applicants based on their skills and experience, not just their title. In addition, we also integrate directly with more than 200,000 company career pages, many of them that are not on LinkedIn, but are of high quality and are not applied for by as many people. Jobright's goal is to ensure that job seekers don't miss out on great opportunities simply because they lack these practical job-hunting skills. We integrate top recruiters' and career coaches' expertise directly into our products and algorithms, allowing job seekers to focus on what truly matters. Follow me for more practical tips. ❤️ #opentowork #layoffs #hiring #jobrightai #jobsearch

This is a concern that always comes up when I am discussing with candidates! A role might have 100, 200, 400+ applications, and candidates tell me there is no point in applying for such roles. That's not true! If the role is live on LinkedIn, especially if it has been recently reposted, it is worth applying to! When a role is filled, we take the job advert down so that our inboxes are not flooded on a daily basis. So while the role is on LinkedIn, we are still looking at CVs. Granted, make sure that your skillset aligns with the requirements of the job posting. But unless the role closes, there's always a chance! #apply #data #ai

Want the inside edge on the newest opportunities in the #remote workforce? Looking to ACE your interview? #connect #follow and hit that 🔔 to make sure you catch every fresh #jobposting as they drop. You’ll also find a quick summary and tips to get prepared for the interview! So let’s get into it…this opportunity is for: Staff Data Scientist – Advertiser Platform https://ift.tt/HRnkcuL Reddit is a global community offering a diverse range of interests and passions, engaging over 50 million daily active users. It emphasizes a community-centric approach, particularly in the ads business, seeking to foster impactful advertising strategies. The company seeks a Product Data Scientist to drive product strategy using data and insights, offering comprehensive benefits and career development opportunities. Now for the fun: Likely Interview Question: Can you provide an example of a time when you used data to influence product strategy? High-Level Tip on How to Best Answer: When answering this question, be sure to provide a specific example from your past experience where you used data analytics to drive product strategy. Explain the problem you were addressing, the data you used, the insights gained, and the impact it had on the product strategy. Emphasize the structured, hypothesis-driven, and data-supported approach you took to solve the problem. Additionally, highlight any mentorship or collaboration with cross-functional teams in the process. This will showcase your ability to leverage data effectively and communicate complex topics to drive product improvements. *Please note these jobs are presented, offered, and hiring courtesy of their respective POE’s. #remotefirst #nowhiring #nuagi #hiring #newjobs #interviewprep ———-———-———-———-———-———-———-———-———-———- I’m Jamal Brooks, a #careercoach and #resource for the career journey. I help remove barriers so YOU get more wins! If you want to perfect your interviewing skills, click the link to book a complimentary consultation. If we are a mutual fit we can establish an engagement agreement at a competitive rate. Let’s get to work and get you hired!

Current thoughts on hiring: 1) Hiring processes are slower than in prior years 2) Most roles are more, for want of a better word, nitpicky about specific titles and tools; a lot of the understanding that various roles (especially in data) overlap heavily, could use many different types of tools and frameworks, learning always required, etc seems to be gone. We're in the age of "find someone who's done exactly what we want, exactly our way, using exactly the tools we use, for most of their career already." To be fair, after enough layoffs in the industry, your chances of being able to find that needle in a haystack if you hold out probably DO go up. 3) Don't go into the "data industry" right now (unless of course, y'know, that's what you're passionate about). It shrank heavily & listings reduced immensely since 2022-2023 (https://lnkd.in/g8RzvFSV). Any business positives of those layoffs/hiring freezes have/are happening (share prices up, expenses down? Oh happy day!) and any negatives either haven't happened or haven't become obvious yet; the likelihood of this particular corner of the job market becoming rosy again in the *near* future is low. If solving data problems is what you like, good on you, enter the coliseum, but be aware that from a purely probabilistic mercenary standpoint, it's not a good time to enter/be in the industry.

5 Useful Posts for Recruiters, 2024 - Part 1 1️⃣ Basic Sourcer vs Data Analyst Sourcer - [https://lnkd.in/d76hGPtm] 2️⃣ Achyut Menon's 5 Key Takeaways from Savita Hortikar's Guest Mentor session for RecruitingMonk on "Planning & Scaling Hiring Teams" - [https://lnkd.in/dtzXjZ2D] 3️⃣ My 7 Quick Suggestions for Customizing the Recruitment Experience for Candidates🤔 - [https://lnkd.in/dpKG4knY] 4️⃣ Data Scarce Roles vs Data Abundance Roles - [https://lnkd.in/dhmVqEPp] 5️⃣ 5 Major Reasons AI will Dominate Recruiting - [https://lnkd.in/dWcsvEQU] #recruiters #recruiting #recruitment #talentacquisition #AI #techrecruitment #hiring #candidates #interviews