Abigail Haddad’s Post

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.

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

📊 May Data Market Summary 📊 𝗧𝗼𝗽 𝗿𝗲𝗮𝘀𝗼𝗻 𝗳𝗼𝗿 𝗯𝗲𝗶𝗻𝗴 𝗼𝗻 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁: 👉 Security. Unsure of how the business are doing, meaning they could face redundancies. 𝗦𝗮𝗹𝗮𝗿𝘆 𝗚𝘂𝗶𝗱𝗲 - 𝗛𝗲𝗮𝗱 𝗼𝗳 𝗗𝗮𝘁𝗮: 👉 Start-up: £105k - £115k | £115k - £140k 👉 Established: £130k - £150k | £160k + 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝘀𝘁𝗮𝘁𝘀: 👉 Currently over 3,700 jobs in the UK on LinkedIn with Data in the job title. 👉 64% of companies will be hiring in 2024, with 21% of those looking to expand their data and analytics teams. 𝗢𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗹𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝗿𝗼𝗹𝗲𝘀: 👉 Head of Data | SaaS | London | £110k 👉 Data Engineer | SaaS | London | £75k 👉 Sr Data Scientist | E-comm | Remote | £610pd 👉 Data Analyst | E-comm | Remote | £525pd How have you found the market this month? #datamarket #recruitment #techrecruitment

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The Data Intelligence day is a great way for individuals who might be interested in roles with Databricks to have a deeper look at us, the products and why this company is the one to be at. Register now! #DatabricksCareers #dataandai #Databricks

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

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

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

Good opportunity

Chat to Tony Rivenell about exploring the realm of #DataAnalytics and #BigData has been a fascinating journey, delving into the heart of #DataScience and #MachineLearning. Leveraging #AI and being #DataDriven has transformed the way businesses operate. From insightful #DataVisualization to predictive analysis with #PredictiveAnalytics, the synergy of #DataEngineering and #DataMining has empowered robust #DataManagement. Embracing innovations like #IoT and #CloudComputing, the fusion of #DeepLearning continues to redefine possibilities in this dynamic landscape of information.