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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.

Affine is hiring for Data Scientist and Data Engineer. If interested, please reach out to the hiring manager. Follow Thanks Buddy for more job updates from the hiring managers. NOTE - This job is shared by Thanks Buddy team so that it can reach to our entire community & maximum people can be benefitted from this. However, Thanks Buddy advises that all candidates should verify the job, company & all other details at their own discretion while proceeding further. #sql #datascientist #datavisualization #hiring #experience #job #dataanalytics #dataandanalytics #dataanalyst #datascience #datascientist #datasciencecareers #datascientists #python #sql #datavisualization #dataviz #analyst #opentowork #tableau #data #dataengineer #analytics #team #powerbi #analyticsjobs #analyticshiring #analytics #resume #opportunity #marketing #jobsl #jobs #ml #engineers #sharepoint #sharepoint #tech #cloud #project #security #automation #architecture #developer #engineer #java #compliance #azure #quality #ux #devops #salesforce #architect #database #writer #qa #ui #business #bigdata #aws #consulting #bank #technology #india #softwareengineer #insurance #freshers #datascience

*** HEAD OF DATA SCIENCE - £115K - £125K + BONUS *** - An opportunity to lead the Geospatial work in a global real estate / property development company. - Manage a small team (x2 to begin with) and grow the machine learning offering. - Greenfield projects and very commercial focus. - Given the team size it will be fairly hands-on to begin with, becoming more strategic in nature as time goes on. #geospatial #datascience #machinelearning #hiring

Want to: * Increase sales and revenue * Reduce costs * Improve operational efficiency Maybe it's time to consider hiring a Data Scientist! In addition to these specific benefits, hiring a data scientist can also give your business a competitive advantage. If you're considering hiring a data scientist, it's important to find someone who has the skills and experience that are relevant to your business. You should also look for someone who is able to communicate complex technical concepts in a clear and concise way. Hiring a data scientist can be a significant investment, but it's an investment that is well worth it for businesses that want to improve their bottom line and gain a competitive advantage.

Imagine a world where domain experts, business analysts, engineers, data scientists, and engineers can all work together effortlessly on the same platform, utilizing interfaces that are specifically designed to meet their individual needs. That is how Multipersona Platforms work their magic! 🤝 These platforms enable each persona to successfully contribute their expertise and dissolve the barriers that exist between various jobs within a data-driven project. The time of discrete data science roles is passing. A new era of cooperation, invention, and rapid project development is being ushered in by Multipersona Data Science and Machine Learning Platforms. So get ready to work together and maximize the potential of your team, whether you're an analytical architect, a domain guru, or an expert coder! 🌐🔬📊 Prepared to jump in? Contact one of our experts: https://lnkd.in/dwiV_B79 #ML #multipersonaplatform #datascience #analytical #Rubiscape #datascientist #Machinelearning

15 of 28 #job #openings on 5/14 ✴️ #data #scientist ✴️ Lyft #checkitout and #share. #follow Suresh V. for #cool opportunities and ideas! #opportunity #usajobs #usa #hiring #hiringnow #open #jobsearch #reshare #engineeringjobs #engineering #givingback #spreadtheword #connectandgrow #repost

So what exactly does a data scientist do? Ben gives an excellent summary in comparison to a data analyst in our most recent video: https://lnkd.in/gHSdGqpn For a more in-depth description of the data scientist's role in business, including areas of focus and things to consider when hiring, check out this post on our blog: https://lnkd.in/g2Tui2bN

Unmasking the truth: Data Scientist vs Data Engineer – Who's Who? Ever wondered how a data scientist differs from a data engineer? Let's dismantle the hodgepodge, shall we? A data scientist, akin to an artist, paints the picture. They create algorithms, test hypotheses, and build models. They're the ones who find patterns in the haystack of data. Think of them as the detectives in the tech world. On the flip side, data engineers are the ones juggling the tech-infrastructure. They're the architects and builders of the data pinnacles that the data scientists then scale. Their task? Ensuring flawless data flow and managing databases – they're the engineers at the heart of the data-driven world. Imagine a bustling city. The data engineer designs and builds the roads. The data scientist? They're the traffic analysts, studying how to optimize traffic flow. So next time you're at a networking event, you'll know the difference. Intriguing, isn't it? 👉 Want to delve deeper into this topic or curious about other tech roles? Click Like or leave a comment! Let's unveil the tech world together. #engineering #datascience #dataengineer

Tip culture is getting out of hands. 15-20%, and shaming if it's anything less? Here's another tip for you: - Don't hire a data scientist if you don't have a data engineer. Here's one more: - Gather requirements before creating a dashboard, not in retrospect. #data #tips

Check out this opportunity shared by DSAN Alumni Rui Qui!