We're #hiring a new Mid-level and Senior Data Scientist (W2 ONLY) in United States. Apply today or share this post with your network.
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It can be hard to justify hiring a data engineer. Hiring a data scientist or analyst is generally easier because their work is immediately tangible. Many data scientists and analysts are also great at building SQL and notebooks workflows that can take data from Data Lakes and process it into a usable format. So why even hire data engineers? This is a question so many companies have run into. The truth is, companies can get away without data engineers for a little bit. But here’s what often happens. 1)Tech-debt starts to build 2) Lots of pipelines and data workflows get set-up for one-off requests 3) No one ever thinks about data governance 4) Even small changes risk breaking multiple critical flows 5) No one wants to own any of the above This has happened time and time again. It eventually comes to a head once the CEO is tired of dealing with conflicting numbers, slow dashboards and the constant "we can't change that, or something might break" responses. If you're that CEO or a data leader who needs to have that conversation with the CEO, then let's talk!
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In case anyone is looking for some top data scientists.
Exciting News Alert! Are you on the lookout for top-tier Data Scientist to drive your projects to success? Look no further! I'm thrilled to announce that I have an exceptional Data Scientist becoming available following the completion of a groundbreaking project. If you're seeking talent to elevate your team and tackle complex data challenges, now's the perfect opportunity to secure top-notch professional on contract (C2C) terms. Don't miss out on the chance to work with the skilled individual who is ready to make an immediate impact on your organization's data-driven initiatives. Reach out to me today to learn more and secure these dynamic Data Scientists for your team! Let's take your projects to new heights together. #Data Science #Contract Hiring #Tech Talent #Opportunity Knocks
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Founder and CEO @ Xantage | Digital Transformation Leader | Bridging Technology and Strategy to Drive Innovative Business Solutions | Driving Sales Growth with Competitive Enablement-as-a-Service
This post made me smile this morning! Most business leaders understand sales and marketing, since they usually have that background. With everything becoming “data-driven” a resource grab for data talent is ongoing. However, most business leaders have no idea how nuanced the data field actually is and “data scientist” is the sexiest title most people think of. (Well maybe not this week, AI engineer is taking the stage….which is still data dependent, btw). Hence, the painfully truthful post below. If you have data that is not where it needs to be or the shape it needs to be in, you need to start with data engineers. When the data starts to flow and has meaning, then a data scientist can work their magic. Foundation first, data application second, insights later. #digitaltransformation #datastrategy #dataengineering #digitalbusiness
Head of Data Science | Published Author | AI Applications Engineer | Microsoft Alumni | Japanese Speaker
If you hire a data scientist before you've hired a data engineer, congratulations, you've just hired an entry-level data engineer!* *Unless they've had the same thing happen to them multiple times, in which case, congratulations, you've hired a seasoned data engineer. #datascience #dataengineering
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Head of Data Science | Published Author | AI Applications Engineer | Microsoft Alumni | Japanese Speaker
If you hire a data scientist before you've hired a data engineer, congratulations, you've just hired an entry-level data engineer!* *Unless they've had the same thing happen to them multiple times, in which case, congratulations, you've hired a seasoned data engineer. #datascience #dataengineering
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I'm hiring Data Engineers, Cloud Infrastructure Engineers, and a Data Architect! Work From Home (#WFH) is allowed for all these positions as long as you're full time during US business hours. If interested, please do these two things so I can find you: 1. Follow me here on LinkedIn 2. Leave a comment below and use a hashtag for the position(s) you're interested in, such as #DataEngineer We live by our core value of We Take Care of Our Own here, and as the world's leading live entertainment company, Live Nation is an incredible place to work! (You can unfollow me later if you want, this just helps me filter who's interested.) (If you don't want people to see your comment, just send me a message with which position you're interested in, and I should still be able to find you as long as you've also followed me.) #hiring #data #engineering
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Sharing this post for my Data Science network!
Looking for a Lead Data Scientist? Look no further! Our global client is seeking a Direct hire or Contract-to-hire Data Scientist Leader to support their Innovation workstream. This remote role is perfect for candidates located in the North Suburb of Chicago Area, IL. As the Lead Data Scientist, you will develop and implement advanced analytics solutions to support and optimize business outcomes. You will also lead advanced analytical initiatives for the Innovation Workstream of a Global organization to support key strategic priorities and focus areas. To be considered for this position, you must have a Masters/+ degree in Applied Mathematics, Operations Research, Industrial Engineering, Economics, Statistics, or a related quantitative discipline. Additionally, you should have 7+ years of experience in developing predictive & prescriptive analytical models and Machine Learning & Optimization algorithms to improve business performance. Strong theoretical background in mathematics, statistics, database technology, mathematical optimization, graph algorithms, and related disciplines are also a must. You should also have strong computer programming skills in a high-level programming language like Python, SQL, or SAS. If you're an innovative problem solver with excellent communication skills and strong leadership & project management skills, we encourage you to apply. Don't miss this opportunity to effectively lead large cross-functional work teams and ensure continuous improvement and optimization of processes for maximum team efficiency. #datascientistjobs
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Once is an accident, twice is a coincidence, and three times is a pattern. Last 4 weeks: 1. "We're looking for a mid-level data engineer. Do you know anyone that's looking?" 2. "We're thinking of adding the first data engineer to the team. Can you help with the profile and recommend anyone?" 3. "I've been at this place for a few months but would prefer something else. Know anyone who's looking for a new data engineer?" I haven't been able to help anyone find a new job yet, but if this keeps happening, I might. So, if you're looking, let me know. PS. I did help the second company - we went through the problem space and figured out a better architecture. It also didn't require hiring.
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#hiring Data Engineer, Denver, United States, fulltime #jobs #jobseekers #careers #Denverjobs #Coloradojobs #Engineering Apply: https://lnkd.in/gibzPGxj Job Description The data engineer will serve as a liaison between its core developers and downstream analysts. The data engineer's primary job is to code automated processes that extract data from disparate sources; efficiently build and manage transformations into a cloud data warehouse; and build pipelines that load data into tools used by economists, data scientist, data analysts, and many other stakeholders. SQL and Python/R skills are a must. Experience managing data warehouses and ELT/ETL processes in an OLAP database is strongly desired. The employee can be in the U.S., Canada, Belarus, or Poland. Job Responsibilities Move data between systems: Extraction - Appcast has several disparate internal proprietary, external proprietary and external public sources that all serve our customers in several ways. A data engineer's primary job is to build automated processes that extract data from these disparate sources for downstream use by data analysts. Transform - A data engineer will transform data from disparate sources into distinct tables using a relational data model, so that analysts can pull them together in one unified workflow. Load - A data engineer will need to load the new tables into a cloud data warehouse using efficient, low-latency methods. Manage cloud data warehouse: Monitor performance - As data needs grow, the data engineer will need to monitor essential performance queries used by downstream analysts to ensure data is being delivered in a timely manner that does not cause slowdowns. Data quality - Ensuring both internal and external data sources are accurate and up to date to provide the best quality for our clients and media partners. Serve data to downstream users
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Lead Data Engineer | LinkedIn Top Voice🔝 2024 | Content Creator 👨🏫 | Writes to 💯K+ | 6X Azure Certified data engineer | I Love @ Data
🎯 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝗮𝗿𝗲 𝗽𝗿𝗶𝗰𝗲𝗹𝗲𝘀𝘀 𝗽𝗲𝗼𝗽𝗹𝗲, 𝘁𝗵𝗲𝘆 𝘄𝗶𝗹𝗹 𝗻𝗲𝘃𝗲𝗿 𝗴𝗲𝘁 𝘁𝗵𝗲 𝗰𝗿𝗲𝗱𝗶𝘁 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗵𝗮𝘃𝗲 𝗱𝗼𝗻𝗲 𝗳𝗼𝗿. Yet data scientists, data analysts, business analysts like to migrate to data engineering. here is why. I received lot of DM from Data scientists and asking how do we migrate to data engineering? how can i learn spark? Yes, because the data engineering demand soared up. more than 70% of companies was hiring data scientists is now hiring data engineers heavily. 1. If you want to know what data engineers do? then check here... https://lnkd.in/gdHsBrEA 2. the demand for data engineering is higher in 2024, explained here... https://lnkd.in/gX8W3Ee2 3. if you wanna learn data engineering? check here free road map https://lnkd.in/g9_8gtf4 4. Check here for detailed #dataengineering free resources https://lnkd.in/g59qWdi7 Follow this 4 steps, to decide why should you decide #dataengineering in 2024 rather data science... hope this is "helpful" 😊 do follow Ajay Kadiyala ✅ #datascience #datascientists #data #hiring #dataengineering #demand #hype #20thcentury
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