Our Data Science Division is seeking a Defense Acquisition Data Scientist to join their team. You’ll support a range of projects analyzing defense acquisitions. Learn more and apply here: https://lnkd.in/eznhaJFZ #hiring #jobs #DNAofCNA
CNA Corporation’s Post
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Innovative AI data leader | Data Science @ McDonald's | Passionate about building data capabilities in organizations
For people currently job-hunting on the #datascience or #dataengineering market or others who have already gotten hired, what is your experience with take-home technical assignments? How much is too much? What types of questions do you think are the best way to show what you’re capable of as a data scientist or engineer? What format is ideal? What hasn’t worked? I do feel the field has historically never gotten this part right and curious to hear thoughts on the best way to do technical interview with future candidates.
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Aleut Federal is #hiring a Data Scientist III This Hybrid opportunity is located in the Washington, DC office. 🎇 👀Data Analysis & Interpretation: Analyze large, complex datasets to uncover trends, patterns, and insights that inform strategic decisions. 👉Model Development: Develop and implement machine learning models, algorithms, and statistical techniques to solve complex problems. 👉Data Management: Clean, preprocess, and organize data from diverse sources ensuring data integrity and accuracy. 👉Collaboration: Work collaboratively with other data scientists, analysts, engineers, and stakeholders to understand requirements and deliver impactful solutions. 👉Visualization: Create clear, concise, and compelling data visualizations and reports to communicate findings to non-technical stakeholders. 👉Research & Innovation: Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence to continually improve methodologies and processes. 👉Security Compliance: Ensure all work complies with security protocols and maintains the confidentiality of sensitive information. Apply Here ⬇ https://lnkd.in/ep6SqWrV John L. Papp, Jr. & Allison Mengel
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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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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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Building a strong data team is difficult, especially in the current tech job market. Whether you're hiring software engineers, data scientists, or developers, the average tenure is only about two years or less. Shockingly, around 69% of technology hires leave within the first two years. This poses a significant challenge for companies. Want to learn how to build a strong data team? Watch the full video here: https://lnkd.in/gzfXFwXZ #datateam #datamangement #dataanalytics
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Ever see this dynamic in your data team? In fact, I’d argue that in the early stages of any data project, Data Engineers > Data Scientists. Before a Data Scientist can even think about building a predictive model, Data Engineers are hard at work ensuring that data is structured, clean, and ready to be used. Data scientists and data engineers both matter, but companies that skip on hiring data engineers often find out the hard way how messy things can get. If the foundation isn’t solid, no amount of analysis or modeling can deliver accurate results. #DataEngineering #DataScience #BigData #Teamwork Hit follow for regular updates on data-driven strategies and market dynamics.
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I help bold people pursue big ideas ► Machine Learning • Ballet (?!) • Business Model Innovation • Software Development
There's a few job reqs to consider if the following describes you: 1) Passionate about people AND data 2) Desire to apply models across a 100k+ employee enterprise 3) Experience with Python, SQL, and Cloud-based tooling My (growing) team at Northrop Grumman is hiring for the following roles: - Manager (Senior) - Data Scientist (Entry-level through Staff) Links are in the comments! #datascience
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We are currently #hiring a Data team for a dynamic start-up 🤩 Why the current employees love working at this company? "I'm encouraged to have a voice and share my opinions." "I spend my days solving big tech problems - efficiently and intelligently." "Data privacy and protection is at the heart of what we do." Why we are excited to recruit for this organisation? • Building team foundations that will positively impact the organisation and people's careers • Building a technical team and being part of their success story via placing great people • We can feel the energy, momentum and motivation whenever we catch up with the team You can find the job adverts below: • Machine Learning Engineer - https://ow.ly/7oo450Qt3jf • Data Engineer - https://lnkd.in/gy-XTrh5 • Data Scientist - https://lnkd.in/gd4g59Pp We are also on the look out for Data Architects and Data Analysts, position descriptions coming soon. #watchthisspace Please share this post with your Data network 😊 #datascience #machinelearning #ml #ai #data #dataarchitect #dataanalyst #dataengineer #aws
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💡 Did you know... The era of #Data and #AI is upon us! 🤖 According to CIO, Big Data Engineer, Data Security Analyst, and Data Scientist are among the top 10 most in-demand roles in the tech sector. Looking for Data Engineers for your team? Get in touch to find out how we can help: https://lnkd.in/ej4NC_KJ #TechFactTuesday
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🔍💼 Hiring Data Scientists: Tips & Tricks 💼🔍 Looking to hire top-notch data scientists? Here are some essential tips to find the best talent: Ready to build your dream team? Find the perfect data scientist with these strategies! 🔍👩💻👨💻 #DataScience #HiringTips #Recruitment #TechTalent #DataAnalytics #MachineLearning #CareerAdvice #TechJobs #Innovation #TalentAcquisition
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