Hop

🚀 Moon: Unleashing the Power of AI Talent Recruitment 🌔 In the pulsing heart of innovation, Moon is preparing to redefine the way AI/ML talent connects with leading-edge companies. Born from a blend of technology and vision, Moon is your gateway to a new dimension in talent acquisition. Beyond Boundaries: Envision a recruitment experience that transcends traditional limitations, powered by the most advanced AI. Moon is about to make this vision a reality, bridging gaps between groundbreaking companies and exceptional talent. The countdown has begun. Ready yourself for a recruitment revolution, where Moon leads the charge into uncharted territories of talent engagement. 🌠 #MoonLaunch #futureofhiring #techtalentevolution #futureofwork #ai

✋ Are you interested in positioning yourself for AI roles? 🔎 Are you looking for your next job? 🤔 Are you torn between staying in a large company or joining a small one? 🕯 Have you been exhausted from navigating this current job market? 🔑 Are you in a career transition? Come join the panel of recruiting experts from Pear VC (Nathan Hirsch), Orby AI (Ren Young), and Hop (Nazli Nadem) to hear their perspectives about the job market and AI roles, where they see the biggest opportunities and challenges, and how you can best position yourself for any role in this market and particularly for AI roles. This panel is brought to you by Raya Advisory (a recruiting firm focused on product, engineering, and AI). Come and join us for a great conversation. #hiring #recruiting #AIjobs #AIroles

Are you passionate about turning data into powerful stories and based in San Diego? Keep reading ⤵ I'm looking for a Senior Front-End Data Visualization Developer to bring complex data to life through stunning, insightful visualizations that drive impactful decisions. Key Requirements: → 5+ years of experience in front-end development and data visualization → Expertise in React.js and libraries like D3.js, Recharts, Victory, or Nivo → Proficient in SQL, Snowflake, Python, and data analytics → Strong portfolio showcasing data storytelling Perks: → Comp: $110,000 - $130,000 → Hybrid schedule (office in La Jolla, San Diego) → Opportunity to contribute to meaningful healthcare and public health initiatives Interview process: → Quick phone screen with me → Pre-screening interview with company's recruiter → 45-minute interview with hiring manager → 1-hour on-site interview with the hiring manager and team Interested? Send me a DM! 📩 #Hiring #LaJolla #SanDiego #JobSearch #JobOpportunity

Hiring a Senior Machine Learning Engineer in NYC for a global marketing agency! This role focuses on developing and fine-tuning predictive ML models, especially for Ad Score and Ad Account Health. If you have experience in advertising and marketing analytics and are open to NYC, please reach out to Roger Limonche from our team.

Our secret weapon for spotting top talent in AI/ML (you might be missing this crucial step) When reviewing resumes, there's one thing we always look for: continuous learning. Here’s why it matters: → Growth mindset: Candidates who are constantly learning demonstrate adaptability. → Relevance: The field evolves fast; staying updated shows commitment. → Problem-solving: New skills often lead to innovative solutions. (hint: It’s not just about degrees or certifications) In interviews, we dig into how candidates apply their learning: → Real-world projects: Have they implemented what they’ve learned? → Mentorship: Are they sharing knowledge with peers? → Challenges: How do they overcome obstacles when learning something new? If you're job seeking, remember this: Highlight your learning journey. It’s not just about what you know; it’s about how you grow. Embrace learning, and it’ll set you apart. #RecruiterTips #Learning #ResumeTips

We've reviewed hundreds of resumes and conducted countless screening calls. One thing that still surprises us is how often candidates overlook the importance of showcasing their problem-solving skills. When we're reviewing a resume or speaking with a candidate, we're not just looking for technical expertise - we're looking for evidence of how they've applied that expertise to real-world problems. Can you walk us through your thought process when approaching a complex data set? How do you handle missing or noisy data? What insights have you uncovered in your previous roles, and how did you communicate those insights to stakeholders? Too often, candidates focus solely on listing their technical skills, without providing context or examples of how they've used those skills to drive business outcomes. But it's precisely this ability to drive business outcomes that sets top candidates apart. If you're a job seeker in the AI/ML/DS field, I encourage you to take a closer look at your resume and online profiles. Are you showcasing your problem-solving skills, or just listing your technical credentials? Consider adding specific examples of how you've applied your expertise to real-world problems, and be prepared to walk a recruiter/hiring manager through your thought process during a conversation. What are some ways you've showcased your problem-solving skills in your job search? Share your experiences in the comments below! #RecruiterTips #ProblemSolving #Softskills

You've just finished a screening call with a recruiter, and you're wondering what you can do to increase your chances of moving forward in the hiring process. Here are some tips to help you stand out: - Be prepared to talk about your projects: Come ready to discuss your past projects, including your role, accomplishments, and challenges. This shows that you're hands-on and can apply theoretical concepts to real-world problems. - Show enthusiasm and interest: Demonstrate your passion for the field and the company. Ask informed questions about the role, team, and organization. - Follow up with a thank-you note: Send a brief email or LinkedIn message to thank the recruiter for their time and reiterate your interest in the role. By following these tips, you'll be more likely to leave a lasting impression on the recruiter and increase your chances of moving forward in the hiring process. What are some strategies you've used to stand out during screening calls? #RecruiterCalls #Interviews #FirstInterview

You've just finished a screening call with a recruiter, and you're wondering what you can do to increase your chances of moving forward in the hiring process. Here are some tips to help you stand out: - Be prepared to talk about your projects: Come ready to discuss your past projects, including your role, accomplishments, and challenges. This shows that you're hands-on and can apply theoretical concepts to real-world problems. - Show enthusiasm and interest: Demonstrate your passion for the field and the company. Ask informed questions about the role, team, and organization. - Follow up with a thank-you note: Send a brief email or LinkedIn message to thank the recruiter for their time and reiterate your interest in the role. By following these tips, you'll be more likely to leave a lasting impression on the recruiter and increase your chances of moving forward in the hiring process. What are some strategies you've used to stand out during screening calls? #RecruiterCalls #Interviews #FirstInterview

🔥 Looking for a bright, marketing-focused mind! Contact Roger for more information 📩

We've reviewed hundreds of data science resumes, and one thing stands out: most candidates struggle to showcase their projects and experience effectively. We've seen many talented data scientists get overlooked because their resumes don't tell a clear story about their skills and accomplishments. It's all about demonstrating how you've applied them to drive real-world impact. One common mistake is to focus too much on theoretical knowledge, without highlighting concrete examples of how you've used data science to solve problems or drive business value. Another mistake is to neglect soft skills, such as communication and collaboration, which are essential for success in any data science role. So, what can you do to stand out? Here are a few tips: - Use specific examples to illustrate your skills and accomplishments - Quantify your impact wherever possible (e.g., "Improved model accuracy by 25% through feature engineering") - Highlight your ability to communicate complex technical concepts to non-technical stakeholders - Emphasize your experience working with cross-functional teams to drive business outcomes By following these tips, you can create a strong narrative that showcases your skills, experience, and impact. And that's what will get you noticed by hiring managers. Feel free to share your own experiences and insights in the comments! #JobSearch #DataScience #ResumeTips #DataAnalytics