Data Science Jobs

Zelestra is hiring Junior Data Scientist 🚀 Qualification : Bachelor's degree Experience : 0-2 Years Location :; Gurugram Apply link : https://careers.solarpack.es/job/Haryana-Junior-Data-Scientist/1162773055/ 👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J 👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best 👍

𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗡𝗼 𝗗𝗲𝗴𝗿𝗲𝗲 𝗡𝗲𝗲𝗱𝗲𝗱!😍 You don’t need a degree or pay lakhs to start a career in web development! 💸❌ These 100% free courses by Udacity are beginner-friendly and cover everything from frontend to backend👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jCAtJ5 📌 Save this post & tag a friend who’s ready to switch to tech!

Basics of Machine Learning 👇👇 Machine learning is a branch of artificial intelligence where computers learn from data to make decisions without explicit programming. There are three main types: 1. Supervised Learning: The algorithm is trained on a labeled dataset, learning to map input to output. For example, it can predict housing prices based on features like size and location. 2. Unsupervised Learning: The algorithm explores data patterns without explicit labels. Clustering is a common task, grouping similar data points. An example is customer segmentation for targeted marketing. 3. Reinforcement Learning: The algorithm learns by interacting with an environment. It receives feedback in the form of rewards or penalties, improving its actions over time. Gaming AI and robotic control are applications. Key concepts include: - Features and Labels: Features are input variables, and labels are the desired output. The model learns to map features to labels during training. - Training and Testing: The model is trained on a subset of data and then tested on unseen data to evaluate its performance. - Overfitting and Underfitting: Overfitting occurs when a model is too complex and fits the training data too closely, performing poorly on new data. Underfitting happens when the model is too simple and fails to capture the underlying patterns. - Algorithms: Different algorithms suit various tasks. Common ones include linear regression for predicting numerical values, and decision trees for classification tasks. In summary, machine learning involves training models on data to make predictions or decisions. Supervised learning uses labeled data, unsupervised learning finds patterns in unlabeled data, and reinforcement learning learns through interaction with an environment. Key considerations include features, labels, overfitting, underfitting, and choosing the right algorithm for the task. Free Resources to learn Machine Learning: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y ENJOY LEARNING 👍👍

🎓 𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱, 𝗠𝗜𝗧 & 𝗚𝗼𝗼𝗴𝗹𝗲😍 Why pay thousands when you can access world-class Computer Science courses for free? 🌐 Top institutions like Harvard, Stanford, MIT, and Google offer high-quality learning resources to help you master in-demand tech skills👨‍🎓📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3ZyQpFd Perfect for students, self-learners, and career switchers✅️

Sber500 is now accepting applications for its 6th batch — an international accelerator for tech startups in AI, DeepTech, FinTech, and beyond. This fully online, 12-week program is designed for early-stage teams — whether you’ve got an MVP or a product ready to scale. Open to founders worldwide, with a special focus on BRICS countries. The participation is totally free! 🚀 What’s in it for you: • Mentors from 17+ countries, including experts from Google, Amazon, Oracle • Access to VCs, corporate partners, and pilot opportunities • PR visibility in a fast-growing ecosystem • Strategic entry into the Russian market The top 25 teams will pitch live at Demo Day in Moscow to investors, corporates, and Sber leadership. Yes, the application form is detailed — and that’s intentional. The more effort you put in now, the greater your chances of joining. Don’t rush it — this is your gateway to major opportunities. 📅 Deadline extended: June 9 Apply now →https://tinyurl.com/5y29mfyd If you’re building something bold and ambitious — this is your moment. Join us!

Infosys hiring Data Scientist Apply link: https://career.infosys.com/jobdesc?jobReferenceCode=INFSYS-EXTERNAL-209078&sourceId=4003

𝗔𝗜 & 𝗠𝗟 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝟮𝟬𝟮𝟱 | 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄😍 Companies Hiring:-  * Zycus * Tower Research Role :- AI & ML Intern Location:- Mumbai, Pune, Bengaluru & Gurgaon 𝐀𝐩𝐩𝐥𝐲 𝐧𝐨𝐰👇 https://pdlink.in/4dQEd8y Apply before the link expires💫

Crudcook is hiring Machine Learning Engineer For 2024, 2025 gards Location: India https://www.linkedin.com/jobs/view/4239977277

𝗛𝗼𝘄 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗙𝗮𝘀𝘁 (𝗘𝘃𝗲𝗻 𝗜𝗳 𝗬𝗼𝘂'𝘃𝗲 𝗡𝗲𝘃𝗲𝗿 𝗖𝗼𝗱𝗲𝗱 𝗕𝗲𝗳𝗼𝗿𝗲!)🐍🚀 Python is everywhere—web dev, data science, automation, AI… But where should YOU start if you're a beginner? Don’t worry. Here’s a 6-step roadmap to master Python the smart way (no fluff, just action)👇 🔹 𝗦𝘁𝗲𝗽 𝟭: Learn the Basics (Don’t Skip This!) ✅ Variables, data types (int, float, string, bool) ✅ Loops (for, while), conditionals (if/else) ✅ Functions and user input Start with: Python.org Docs YouTube: Programming with Mosh / CodeWithHarry Platforms: W3Schools / SoloLearn / FreeCodeCamp Spend a week here. Practice > Theory. 🔹 𝗦𝘁𝗲𝗽 𝟮: Automate Boring Stuff (It’s Fun + Useful!) ✅ Rename files in bulk ✅ Auto-fill forms ✅ Web scraping with BeautifulSoup or Selenium Read: “Automate the Boring Stuff with Python” It’s beginner-friendly and practical! 🔹 𝗦𝘁𝗲𝗽 𝟯: Build Mini Projects (Your Confidence Booster) ✅ Calculator app ✅ Dice roll simulator ✅ Password generator ✅ Number guessing game These small projects teach logic, problem-solving, and syntax in action. 🔹 𝗦𝘁𝗲𝗽 𝟰: Dive Into Libraries (Python’s Superpower) ✅ Pandas and NumPy – for data ✅ Matplotlib – for visualizations ✅ Requests – for APIs ✅ Tkinter – for GUI apps ✅ Flask – for web apps Libraries are what make Python powerful. Learn one at a time with a mini project. 🔹 𝗦𝘁𝗲𝗽 𝟱: Use Git + GitHub (Be a Real Dev) ✅ Track your code with Git ✅ Upload projects to GitHub ✅ Write clear README files ✅ Contribute to open source repos Your GitHub profile = Your online CV. Keep it active! 🔹 𝗦𝘁𝗲𝗽 𝟲: Build a Capstone Project (Level-Up!) ✅ A weather dashboard (API + Flask) ✅ A personal expense tracker ✅ A web scraper that sends email alerts ✅ A basic portfolio website in Python + Flask Pick something that solves a real problem—bonus if it helps you in daily life! 🎯 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 = 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 You don’t need to memorize code. Understand the logic. Google is your best friend. Practice is your real teacher. Python Resources: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a ENJOY LEARNING 👍👍

𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲 𝗼𝗻 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗯𝘆 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴.𝗔𝗜 & 𝗢𝗽𝗲𝗻𝗔𝗜😍 💡 Think ChatGPT is Just for Fun? Think Again📌 In today’s AI-driven world, knowing how to communicate effectively with large language models (LLMs) is more than just a bonus — it’s a competitive edge📊🎯 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jn7aKh Use ChatGPT like a developer — not just a casual user✅️

IBM hiring Data Scientist Apply link: https://ibmglobal.avature.net/en_US/careers/JobDetail?jobId=36746&source=SN_LinkedIn 👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best 👍

Company Name: ZS Role : Business Technology Solutions Associate - Gen AI Batch : 2025/24/23 passouts Link : https://jobs.zs.com/jobs/21048

𝟰 𝗙𝗿𝗲𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Want to Boost Your Resume with In-Demand Python Skills?👨‍💻 In today’s tech-driven world, Python is one of the most in-demand programming languages across data science, software development, and machine learning📊📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3Hnx3wh Enjoy Learning ✅️

Adobe hiring Machine Learning Engineer Apply link: https://careers.adobe.com/us/en/job/ADOBUSR156385EXTERNALENUS/Machine-Learning-Engineer-5-AI-Foundation-Image-domain 👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best 👍👍

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 😍 Companies Hiring:- Revvity Role :- Data Analyst - Intern Location:- Mumbai  Qualification:- Students/Graduates  𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸👇:-  https://pdlink.in/4mGclrF Apply before the link expires 💫

Essential Python Libraries for Data Science - Numpy: Fundamental for numerical operations, handling arrays, and mathematical functions. - SciPy: Complements Numpy with additional functionalities for scientific computing, including optimization and signal processing. - Pandas: Essential for data manipulation and analysis, offering powerful data structures like DataFrames. - Matplotlib: A versatile plotting library for creating static, interactive, and animated visualizations. - Keras: A high-level neural networks API, facilitating rapid prototyping and experimentation in deep learning. - TensorFlow: An open-source machine learning framework widely used for building and training deep learning models. - Scikit-learn: Provides simple and efficient tools for data mining, machine learning, and statistical modeling. - Seaborn: Built on Matplotlib, Seaborn enhances data visualization with a high-level interface for drawing attractive and informative statistical graphics. - Statsmodels: Focuses on estimating and testing statistical models, providing tools for exploring data, estimating models, and statistical testing. - NLTK (Natural Language Toolkit): A library for working with human language data, supporting tasks like classification, tokenization, stemming, tagging, parsing, and more. These libraries collectively empower data scientists to handle various tasks, from data preprocessing to advanced machine learning implementations. ENJOY LEARNING 👍👍

𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀😍 𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸𝘀:-👇 S&P Global :- https://pdlink.in/3ZddwVz IBM :- https://pdlink.in/4kDmMKE TVS Credit :- https://pdlink.in/4mI0JVc Sutherland :- https://pdlink.in/4mGYBgg Other Jobs :- https://pdlink.in/44qEIDu Apply before the link expires 💫

Atlassian hiring Senior Data Scientist Apply link: https://globalcareers-atlassian.icims.com/jobs/19662/senior-data-scientist/job 👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best 👍👍

Recruit Forge hiring Data Scientist Intern https://www.linkedin.com/jobs/view/4239429670

Reality check on Data Analytics jobs: ⟶ Most recruiters & employers are open to different backgrounds ⟶ The "essential skills" are usually a mix of hard and soft skills Desired hard skills: ⟶ Excel - every job needs it ⟶ SQL - data retrieval and manipulation ⟶ Data Visualization - Tableau, Power BI, or Excel (Advanced) ⟶ Python - Basics, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc Desired soft skills: ⟶ Communication ⟶ Teamwork & Collaboration ⟶ Problem Solver ⟶ Critical Thinking If you're lacking in some of the hard skills, start learning them through online courses or engaging in personal projects. But don't forget to highlight your soft skills in your job application - they're equally important. In short: Excel + SQL + Data Viz + Python + Communication + Teamwork + Problem Solver + Critical Thinking = Data Analytics