Compound Leverage’s Post

Prompt to calculate doubling date and rate. Imagine hiring a data scientist who can: 1. Ask questions one at a time 2. Predict the date when your metrics will double 3. Determine your doubling rate 4. Analyze customer data to uncover patterns and boost your growth rate Here's how #ChatGPT can do the job: "You are my data scientist. Your job is to: 1. Ask questions one at a time 2. Tell me the date I will double from where I am today. 3. Tell me the rate of doubling 4. Analyze customer data to identify patterns to increase the doubling rate. Think first" Answer the interview questions and get the projected doubling date and growth rate. Ditch the Google Sheet and give it a try. P.S. I send a newsletter every Tuesday with #AI #automation and strategic thinking experiments. Subscribe in the Featured section of my profile.

DVA is not associated with this job posting Data Scientist https://lnkd.in/gjdd6wv3 What You’ll Do: Work on challenging data science projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies to drive revenue and enhance the personalized shopping experiences of our 50M members Develop innovative solutions to business problems leveraging both classic and cutting-edge data science algorithms/frameworks You will be involved in the design and implementation of applications and tools based on NLP and GenAI that will revolutionize the way that our software interacts with the users while maintaining a responsible approach to the use of these technologies Analyze the specifications for Gen AI-enabled applications... #innovation #management #digitalmarketing #technology #creativity #futurism #startups #marketing #socialmedia #socialnetworking #motivation #personaldevelopment #jobinterviews #sustainability #personalbranding #education #productivity #travel #sales #socialentrepreneurship #fundraising #law #strategy #culture #fashion #business #networking #hiring #health #inspiration

The biggest mistake aspirants make when trying to switch to Data Analytics is focusing too much on AI/ML concepts instead of mastering the basics. Someone with strong SQL and Excel skills will land a job in the field faster than someone just chasing buzzwords. If you're not aiming for an ML engineer position, you don't need to worry about designing large language models. Just chill and focus on what matters for your role. #dataanalytics #dataanalystjobs #dataanalyticsjourney

Are you still confuse about the different roles in data or AI ?😕 Let me breakdown it for you 😊 : 🔍 Data Roles in Action: A Collaborative Workflow 👷♂️ Data Engineer: The backbone of the operation! Data engineers lay down the infrastructure and build pipelines to fetch, clean, and store data securely. 👥 Data Analyst: Unraveling insights! Data analysts dive into the data provided by engineers, slicing and dicing it to uncover trends, patterns, and actionable insights. 🧪 Data Scientist: Turning insights into predictions! Data scientists take the findings from data analysts and use them to create predictive models. These models help anticipate future trends and guide strategic decision-making. 🤖 Machine Learning Engineer: Bringing models to life! Machine learning engineers take the predictive models crafted by data scientists and deploy them into production. They ensure that these models continuously learn and adapt to new data, maximizing their effectiveness. 👨🔬 AI Engineer: Advancing intelligence! AI engineers work on cutting-edge technologies to push the boundaries of what's possible with data. They develop innovative solutions, from natural language processing to computer vision, that transform industries and improve lives. 🔧 How They Collaborate: -Data Flow: Data engineers fetch, clean, and organize data, making it accessible for analysts. Analysts use this data to extract insights, which data scientists then leverage to create models. - Insights to Actions: Analysts provide insights that data scientists use to develop predictive models. These models are then deployed by machine learning engineers to drive actionable decisions. - Innovation and Integration: AI engineers collaborate with data scientists and data engineers to develop and deploy cutting-edge AI solutions. They integrate these solutions into existing systems, driving innovation and enhancing efficiency. 🌟 Conclusion: In this collaborative workflow, each role plays a crucial part in the data lifecycle. By working together 😀 seamlessly, data engineers, analysts, scientists, machine learning engineers, and AI engineers unlock the full potential of data, driving innovation and creating value for businesses and society. Note: All other roles like Business Analyst, Big Data engineer ,NLP engineer etc. more or less moves around in these fields only. #data #datascience #dataroles #machinelearning #dataengineer #dataanalyst #datascientist #aiengineer #machinelearningengineer

How has the 'Data Scientist' evolved? 🤔 It's interesting to see that DJ Patil and Jeff Hammerbacher invented the term "Data Scientist" to define their jobs at LinkedIn and Facebook. Not so long after that, it was named as "the sexiest job of the 21st century." With the rise of Machine Learning and Artificial Intelligence, the role has evolved from ✅ Developing statistical and predictive models ✅ Using analytic tools to detect patterns and trends ✅ Extracting data from multiple sources To now 💡 Working across predictive analytics and ML algorithms 💡 Ensuring the ethical deployment of AI 💡 Working across different departments of an org so they can give valuable insights Touching on my post from last week, we have different roles such as ML Engineer, AI Engineer, Advanced Analytics and the famous Data Scientist. All overlapping to a certain extent. With technologies and trends developing, do you think we have a new role coming our way for 2024? 👀 #datascientist #AI #machinelearning #data #analytics

#hiring Data Scientist - Generative AI/Computer Vision, Charlotte, United States, $143K, fulltime #opentowork #jobs #jobseekers #careers $143K #Charlottejobs #NorthCarolinajobs #ITCommunications Apply: https://lnkd.in/gbYPtMiW Job SummaryThe primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This role builds user interfaces from the direction of senior colleagues, and builds solutions using market research. This position gains experience in various areas including, but not limited to: generate texts and images by training Generative AI models; object detection from images and videos; predictive modeling; natural language processing and text recognition; search, precision, ranking, and related problems; Enrichment and fine adjustments of images and videos.Focus Areas:Must Have Computer VisionAI/ML, Deep learning experiencePythonStrong in SQLData Analytics - Data Cleansing, Data Classification, Building Data models.Key Responsibilities:Mines and extracts data and applies statistics, machine learning, and deep learning necessary to derive insights and develop solutions on enterprise-scale providing a competitive advantageSupports the development of automated self-service products and solutions for business partners to effectively interpret data and build data productsBuilds production ready data science capabilities with proficiency in Python or equivalent languagesProvides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, other company priorities, etc.Conducts deep statistical analysis, including predictive and prescriptive modeling to provide a competitive advantageWorks with more senior level scientists on the team to translate requirements into an analytical approach; asks the right questions to understand the problemContributes to or builds the solution to solve a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelinesGathers and assimilates data according to the project plan; works with the team to discuss analysis and findingsPrepares final recommendations, ensuring solutions are scalable and implementable in the businessExecutes plan for measuring impact based on discussions with stakeholders, partners and senior team membersExecutes projects with full adherence to enterprise product and project management practices by participating in formal and informal trainingMaintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies and applies it to projectsRequired QualificationsBachelor's Degree Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field

I found an interesting breakdown of how a Data Science role differs from an AI Engineer role. Sometimes, knowing this comes in handy during an interview. In short, a data scientist works primarily with structured data of small-to-moderate size, applying various descriptive and predictive methods and numerous highly specialized tools, and trains narrow-scope models. An AI engineer works with large amounts of usually unstructured data, applying prescriptive and generative methods, and fine-tuning wide-scope foundational models for a specific task(s). #DataScience #AIEngineer #Career #Interview This great video explains it more:

4 ways AI for data science is revolutionizing world🚀 1. AI predicts trends with data analysis. 2. AI automates tasks for efficient processing. 3. AI personalizes experiences using algorithms. 4. AI optimizes operations through predictive modeling. Please reshare to your #LinkedIn network so everyone can take advantage of these resources! ➡Follow Shivam Modi (45K 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

DVA is not associated with this job posting Senior Data Scientist at Health Data Vision, Inc. https://lnkd.in/gmcBNyPa WHAT YOU’LL DO: Build proof-of-concept machine learning models Work with engineering teams to implement ML models into production and build ML pipelines Explore, find and implement new solutions to improve the performance of the existing models Bring in the cutting-edge ML and NLP technologies into the existing models (“R&D” style) Exploring LLM solutions for our AI models Be able to complete the entire end-to-end development cycle: define the problem, architect the solution, build and implement the solution #workfromhome #wfh #entrepreneur #stayathome #business #stayhome #motivation #success #money #work #onlinebusiness #love #makemoneyonline #digitalmarketing #homeoffice #networkmarketing #smallbusiness #marketing #financialfreedom #workfromhomelife #businessowner #affiliatemarketing #instagram #makemoney

Is Data Analyst a Good Career with AI? https://lnkd.in/gaQ9mEJV A career as a data analyst is not only viable but highly promising with the integration of AI. Building a strong set of skills in traditional data analysis and AI technologies will keep data analysts at the forefront of this fast-moving and dynamic field. #Dataanalyst #AITechnologies #BigDataTechnologies #AIPoweredAnalytics #machinelearningalgorithms #AINews #AnalyticsInsight #AnalyticsInsightMagazine