Jobz的动态

Companies desperately searching for Data Scientists right now include Microsoft, OpenAI, Google, Meta, LinkedIn, Airbnb, Netflix, Apple, Tesla, Lyft, and more. But why is Data Science in such high demand again? From my recruitment & hiring manager contacts, it comes down to this. The Data Engineering foundations put in place over the last year or so have had a big impact. Companies can hire for specific & clear DS projects & deliverables.? They now feel empowered hiring for specific outcomes, and Data Scientists feel confident delivering them. When the value starts flowing, companies take advantage, and this is what we're seeing now. Data Science as a field has a greater headroom than any other, and with the DE foundations in place, we'll see this increase in demand continue. Some hand-picked roles that I think look amazing, at varying levels (these are US-based roles, but demand is huge in all markets again) Microsoft Senior Data Scientist $112k - $238k: https://lnkd.in/eXHH8Zh9 Google Data Scientist (Customer Experience Lab) $146 - $220k: https://lnkd.in/eH4sVsB7 OpenAI Data Scientist (Product) $245k - $385k: https://lnkd.in/eA9Z_7kj IBM Data Scientist (Entry Level) $83k - $125k: https://lnkd.in/eCccqWPW TikTok: Data Scientist (User Growth) $136k - $228k: https://lnkd.in/eTzSct_K Meta: Data Scientist (Ads Delivery) $206k - $281k: https://lnkd.in/eCt-ZuMr Netflix: Data Scientist (Ad-Member Interactions) $150k - $750k: https://lnkd.in/eaV_ErJw Tesla: Sr. Data Scientist (Charging Data Modeling) https://lnkd.in/eqjGGDrB #datascience

Top Data Science Jobs to Apply on Oct 18, 2024 https://zurl.co/h6AQ Explore the top 10 data science jobs to apply for on October 18, 2024. With competitive salaries and opportunities at tech giants like Google, Tesla, and Microsoft, these roles offer excellent career prospects for data professionals. #Datasciencejobs #DataScience #MachineLearning #ArtificialIntelligence #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

Hey LinkedIn Family! ?? I’m looking to connect with talented Data Scientists, MLOps Engineers, and Data Engineers. If you’re in this space or know someone who is, let’s connect or feel free to drop me a message! ?? Looking forward to building an awesome network. ?? #DataScience #MLOps #DataEngineering #Networking

*** Senior Data Scientist - ￡110k - London - Financial Services *** - Brand new role in today. If you like seeing machine learning go on to deliver serious commercial value - great job. - 2-3 days a week in office (Central London) - Company builds advanced data science and machine learning solutions for clients in PE. Also exploring GenAI applications and LLMs. - Business/commercial focus, stakeholder management, technical skills all key! - Python, SQL, AWS/GCP, Pyspark, Databricks - Any experience deploying models great! #hiring #machinelearning #datascience #AI

The fastest moving career commodity right now are data scientists. Why is it? I hire a data scientist, make them do the algorithm, automate it with "data drift" and all, and once the work is done, you can go back to focusing on your Business Model. The Data Scientist will look for other new projects to do or go on and work with another company that has a billion rows to work with. You would see more contractual work for these kinds of roles and the pay is relatively higher due to short term projects, the same way Kaggle projects were set up. What to do when you go this path. ? Ensure Documentation for both sides ? Pay the DS for the algorithm & the features ? Thank the Data Scientist for the Project Data Scientists love to work on problems than being used to clean up "string data" or be used to enter word embeddings, I saw that use case for a frustrated data scientist a decade ago in a conference, she was working day to day cleaning up and labelling for 8 months just to create a simple Q&A Bot. The only happy moment for her was when the algorithm had a good performance from all that "data cleaning" and "data labelling". This just proves that Data Science isn't the sexiest career in the 21st Century. #datascience #recruitment

Data Science is still VERY hyped. If you want to SECURE yourself a future & a job in tech, take a look at these career paths: 1. Building Data Science platforms - ML Engineer 2. Manage production ML lifecycle - MLOps 3. Making data available for ML&Analytics - Data Engineer #ml #dataengineer #mlops #ai

The Emerging Role of Analytics Engineers: A fusion of Data Analytics and?Data Engineering. With the proliferation of AI, the data landscape is fast changing and much more is done with so little, and expectations can better be imagined. As a top dog in the data space, you are expected to be skilled in all the data value chain, ranging from data engineering, data science, to data analytics and documentations, for you to impact businesses meaningfully, in terms of quality data?provisioning & efficient data work flows, which enable data driven decision-making. Organizations would rather hire someone skilled in these three areas; especially mid-size and small organizations, than separate these distinct roles in their hiring process. A Data Analytic Engineering role goes beyond having technical skills but also having people skills and some degree of domain and business acumen. In my experience, focusing only on technical skills and neglecting people skills has always been the bane of most data professionals; specifically data engineers. The market does not care about what we do or know, but how we solve their pain points. Thankfully, platforms like Microsoft Fabrics, Google Big Query, Databricks, Snowflakes etc., and the rise of data democratization has made the role of a Analytic Engineer seamless. Analytic Engineering is an emerging role with great prospects for Data professionals and benefit organizations more . P.S. Have you worked in a similar role, or are you aspiring to become an Analytics Engineer? Share your stories, thoughts and experiences in the comment section. #dataengineer #datascience #dataanalyst #microsoftfabric #databricks #googlebigquery #snowflake

Amazon Machine Learning: Developer Guide - 146 pages. Please reshare to your #LinkedIn network so everyone can take advantage of these resources! ?Follow Shivam Modi (46K Followers) to get Data Science and Machine Learning material daily. PS. In just 5 months, You can become Job-Ready Data Scientist & Analyst. ?Link: https://lnkd.in/dE9CUB2z Here's what you'll get: 1. Hands-on Practical Experience? 2. 1:1 Doubt Clearance Sessions 3. Real-Time Capstone Projects No prior coding experience required, Limited Time Offer! #data #datascience #datascientist #machinelearning #dataanalytics #ai

When your friend is super extroverted vs Me , hiring Data and ML professionals for the last x5 years , x3 years of that on a remote island and embracing introvert life. Together though can help you create a competitive advantage in hiring Data Science, Data Engineering and Machine Learning talent. DM if you would like to find out how. #datascience #machinelearning #dataengineering #hiring