Data Science Jobs
前往频道在 Telegram
Join this channel to get job & internship updates related to data science, machine learning data engineering, artificial intelligence & data analytics fields.
显示更多8 160
订阅者
+724 小时
+157 天
+16530 天
帖子存档
8 160
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
1️⃣ Get Started with Microsoft Data Analytics
2️⃣ Prepare Data for Analysis with Power BI
3️⃣ Model Data with Power BI
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/40N8akW
Enroll For FREE & Get Certified 🎓
8 160
𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
- SQL
- Blockchain
- HTML & CSS
- Excel, and
- Generative AI
These free full courses will take you from beginner to expert!
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4gRuzlV
Enroll For FREE & Get Certified 🎓
8 160
Hiring a highly skilled Data Scientist with strong expertise in Develops predictive models using Machine Learning algorithms, Random Forest, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, good knowledge in Python for a prestigious client based in Bangalore. The ideal candidates should possess strong academic backgrounds from Tier 1 and Tier 2 colleges.
Experience: 3.5 to 6 Years
Location: Bangalore
Notice Period: Immediate to 30 Days
If you’re interested or you have a strong network of professionals who fits this profile, please share their resumes to shruthik@novotreeminds.com
8 160
𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗧𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲😍
1️⃣ BCG Data Science & Analytics
2️⃣ TATA Data Visualization Internship
3️⃣ Accenture Data Analytics
4️⃣ PwC Power BI Internship
5️⃣ British Airways Data Science
6️⃣ Quantium Data Analytics
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4i9L0LA
Enroll For FREE & Get Certified 🎓
8 160
Company Name : Spyne
Role : SDE 1 - Backend and Computer Vision Researcher
Batch : 2024/23/22
Link :
https://spyneai.keka.com/careers/jobdetails/45911
https://spyneai.keka.com/careers/jobdetails/53195
➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️
📌GigaML is hiring for Founding Full Stack Engineer
Salary: 60-100 LPA
Apply here: https://app.flexiple.com/job-description/10633
➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️➖️
8 160
Complete Roadmap to Become a Data Scientist
#python #datascientist
https://t.me/DataScienceM
8 160
𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 – 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲!😍
Want to break into Machine Learning without spending a fortune?💡
This 100% FREE course is your ultimate guide to learning ML with Python from scratch!✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4k9xb1x
💻 Start Learning Now → Enroll Here✅️
8 160
Hi All, 𝗕𝗼𝘀𝘁𝗼𝗻 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽 (𝗕𝗖𝗚) is hiring Data Scientists and Senior Data Scientists for its tech build and design unit 𝗕𝗖𝗚 𝗫. We’re looking for great talent to grow the team in India!
𝘗𝘭𝘦𝘢𝘴𝘦 𝘯𝘰𝘵𝘦 𝘵𝘩𝘢𝘵 𝘵𝘩𝘦𝘴𝘦 𝘳𝘰𝘭𝘦𝘴 𝘳𝘦𝘲𝘶𝘪𝘳𝘦 𝘵𝘳𝘢𝘷𝘦𝘭 𝘵𝘰 𝘤𝘭𝘪𝘦𝘯𝘵 𝘭𝘰𝘤𝘢𝘵𝘪𝘰𝘯𝘴, 𝘮𝘢𝘯𝘢𝘨𝘪𝘯𝘨 𝘦𝘯𝘨𝘢𝘨𝘦𝘮𝘦𝘯𝘵𝘴 𝘢𝘯𝘥 𝘤𝘭𝘪𝘦𝘯𝘵 𝘳𝘦𝘭𝘢𝘵𝘪𝘰𝘯𝘴𝘩𝘪𝘱𝘴 𝘢𝘴 𝘸𝘦𝘭𝘭.
More details can be found on this link: https://careers.bcg.com/global/en/job/52492
In case you are interested, feel free to send your resume directly to Singh.Kanishka@bcg.com with subject "Resume for DS/SDS role: <Name>".
8 160
𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗙𝗥𝗘𝗘 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗩𝗶𝗱𝗲𝗼𝘀!😍
Want to become a Data Analytics pro?🔥
These tutorials simplify complex topics into easy-to-follow lessons✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4k5x6vx
No more excuses—just pure learning!✅️
8 160
Anyscale Hiring !!
Role - ML Engineer
Exp - fresher
Link - https://www.linkedin.com/jobs/view/4157974677
8 160
🔰 How to become a data scientist in 2025?
👨🏻💻 If you want to become a data science professional, follow this path! I've prepared a complete roadmap with the best free resources where you can learn the essential skills in this field.
🔢 Step 1: Strengthen your math and statistics!
✏️ The foundation of learning data science is mathematics, linear algebra, statistics, and probability. Topics you should master:
✅ Linear algebra: matrices, vectors, eigenvalues.
🔗 Course: MIT 18.06 Linear Algebra
✅ Calculus: derivative, integral, optimization.
🔗 Course: MIT Single Variable Calculus
✅ Statistics and probability: Bayes' theorem, hypothesis testing.
🔗 Course: Statistics 110
➖➖➖➖➖
🔢 Step 2: Learn to code.
✏️ Learn Python and become proficient in coding. The most important topics you need to master are:
✅ Python: Pandas, NumPy, Matplotlib libraries
🔗 Course: FreeCodeCamp Python Course
✅ SQL language: Join commands, Window functions, query optimization.
🔗 Course: Stanford SQL Course
✅ Data structures and algorithms: arrays, linked lists, trees.
🔗 Course: MIT Introduction to Algorithms
➖➖➖➖➖
🔢 Step 3: Clean and visualize data
✏️ Learn how to process and clean data and then create an engaging story from it!
✅ Data cleaning: Working with missing values and detecting outliers.
🔗 Course: Data Cleaning
✅ Data visualization: Matplotlib, Seaborn, Tableau
🔗 Course: Data Visualization Tutorial
➖➖➖➖➖
🔢 Step 4: Learn Machine Learning
✏️ It's time to enter the exciting world of machine learning! You should know these topics:
✅ Supervised learning: regression, classification.
✅ Unsupervised learning: clustering, PCA, anomaly detection.
✅ Deep learning: neural networks, CNN, RNN
🔗 Course: CS229: Machine Learning
➖➖➖➖➖
🔢 Step 5: Working with Big Data and Cloud Technologies
✏️ If you're going to work in the real world, you need to know how to work with Big Data and cloud computing.
✅ Big Data Tools: Hadoop, Spark, Dask
✅ Cloud platforms: AWS, GCP, Azure
🔗 Course: Data Engineering
➖➖➖➖➖
🔢 Step 6: Do real projects!
✏️ Enough theory, it's time to get coding! Do real projects and build a strong portfolio.
✅ Kaggle competitions: solving real-world challenges.
✅ End-to-End projects: data collection, modeling, implementation.
✅ GitHub: Publish your projects on GitHub.
🔗 Platform: Kaggle🔗 Platform: ods.ai
➖➖➖➖➖
🔢 Step 7: Learn MLOps and deploy models
✏️ Machine learning is not just about building a model! You need to learn how to deploy and monitor a model.
✅ MLOps training: model versioning, monitoring, model retraining.
✅ Deployment models: Flask, FastAPI, Docker
🔗 Course: Stanford MLOps Course
➖➖➖➖➖
🔢 Step 8: Stay up to date and network
✏️ Data science is changing every day, so it is necessary to update yourself every day and stay in regular contact with experienced people and experts in this field.
✅ Read scientific articles: arXiv, Google Scholar
✅ Connect with the data community:
🔗 Site: Papers with code
🔗 Site: AI Research at Google
#ArtificialIntelligence #AI #MachineLearning #LargeLanguageModels #LLMs #DeepLearning #NLP #NaturalLanguageProcessing #AIResearch #TechBooks #AIApplications #DataScience #FutureOfAI #AIEducation #LearnAI #TechInnovation #AIethics #GPT #BERT #T5 #AIBook #data
8 160
𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 - 𝗝𝗼𝗶𝗻 𝗡𝗼𝘄😍
Want to work on real projects from a top company?
🚨No experience required🚨
Now’s your chance!
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3WWMNLx
📢 Share With Your Friends Who Needs this & Save for Later! 🚀
8 160
Machine Learning Jobs Remote | Best Guide by Data Simplifier
https://datasimplifier.com/machine-learning-jobs-remote/
8 160
𝗦𝗤𝗟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗧𝗵𝗮𝘁 𝗖𝗮𝗻 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗚𝗲𝘁 𝗬𝗼𝘂 𝗛𝗶𝗿𝗲𝗱!😍
Want to land a Data Analyst or SQL-based job?
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4hCYob9
🚀 Start working on these projects today & boost your SQL skills! 💻
8 160
𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝗳𝗿𝗼𝗺 𝗚𝗹𝗼𝗯𝗮𝗹 𝗚𝗶𝗮𝗻𝘁𝘀!😍
Want real-world experience in 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗼𝗿 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜?
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4hZlkAW
🔗 Save & share this post with someone who needs it!
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
