Data Science Jobs

Swiggy is hiring Data Scientist 🚀 Experience : 0-3 Years Location : Bangalore Apply link : https://careers.swiggy.com/#/careers?src=linkedin&p=eyJwYWdlVHlwZSI6ImpkIiwiY3ZTb3VyY2UiOiJsaW5rZWRpbiIsInJlcUlkIjoyMTA3MSwicmVxdWVzdGVyIjp7ImlkIjoibGlua2VkaW4iLCJjb2RlIjpudWxsLCJuYW1lIjoiIn19&reqid=21071

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝗧𝗵𝗮𝘁 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗔𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴 𝗙𝗼𝗿?😍 If you’re looking to land a job in tech or simply want to upskill without spending money, this is your golden chance✨️📌 We’ve handpicked 5 YouTube channels that teach 5 in-demand tech skills for FREE. These skills are widely sought after by employers in 2025 — from startups to top MNCs🧑‍💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/46n3hCs Here’s your roadmap — pick one, stay consistent, and grow daily✅️

🚀 𝟳 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 + 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱 😍 Gain globally recognized skills with Microsoft x LinkedIn Career Essentials – completely FREE! 🎯 Top Certifications: 🔹 Generative AI 🔹 Data Analysis 🔹 Software Development 🔹 Project Management 🔹 Business Analysis 🔹 System Administration 🔹 Administrative Assistance 📚 100% Free | Self-Paced | Industry-Aligned 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-    https://pdlink.in/46TZP2h   💼 Perfect for students, freshers & working professionals

𝟲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗙𝗿𝗼𝗺 𝗧𝗼𝗽 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 😍 A power-packed selection of 100% free, certified courses from top institutions: - Data Analytics – Cisco - Digital Marketing – Google - Python for AI – IBM/edX - SQL & Databases – Stanford - Generative AI – Google Cloud - Machine Learning – Harvard 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-    https://pdlink.in/3FcwrZK   Master in‑demand tech skills with these 6 certified, top-tier free courses

📌Beckman Coulter Diagnostics is hiring for Data Science Intern Experience: 0 - 2 year's Apply here: https://jobs.danaher.com/global/en/job/DANAGLOBALR1292567EXTERNALENGLOBAL/Data-Science-Intern 👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉 Telegram Channel: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best! 👍👍

📌Natwest Group is hiring for Data & Analytics Analyst Experience: 0 - 2 year's Expected Salary: 12 - 20 LPA Apply here: https://jobs.natwestgroup.com/jobs/15983178-data-and-analytics-analyst-da?tm_job=R-00255555&tm_event=view&tm_company=861&bid=56 👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉 Telegram Channel: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best! 👍👍

𝗕𝗶𝗴 𝟰 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 – 𝗔𝗻𝘀𝘄𝗲𝗿 𝗟𝗶𝗸𝗲 𝗮 𝗣𝗿𝗼!😍 If you’re preparing for interviews at Deloitte, PwC, EY, or KPMG, this reel is your ultimate cheat sheet. 📝 ✅ We’ve compiled the most-asked HR and domain-specific questions in Audit, Tax, Consulting, and Risk Advisory — straight from platforms like Glassdoor & AmbitionBox💥📍 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4kNE2N8 📽️ Watch, save & share — your Big 4 dream job might just be one answer away✅️

Wells Fargo is hiring! Position: Analytics Associate, Data & Analytics Qualifications: Bachelor’s/ Master’s Degree Salary: 8 - 10 LPA (Expected) Experience: Entry Level Location: Bangalore, India 📌Apply Now: https://www.wellsfargojobs.com/en/jobs/r-471469/analytics-associate-2/ 👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉 Telegram Channel: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best! 👍👍

Uber is hiring! Position: Data Scientist, Data Science Qualification: Bachelor's/ Master’s Degree Salary: 16 - 46 LPA (Expected) Experience: Freshers/ Experienced Location: Hyderabad; Bangalore, India 📌Apply Now: https://www.uber.com/global/en/careers/list/138331/?uclick_id=a71f7939-0ce0-4745-8520-4cca2b5d12b3 👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉 Telegram Channel: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best! 👍👍

Deloitte is hiring Data Analyst 🚀 Experience : 1+ Year Location : Chennai Apply link : https://www.linkedin.com/jobs/view/4267803159 👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉 Telegram Channel: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best! 👍👍

United Airlines is hiring Associate Analyst 🚀 Experience : 0-2 Years Location : Gurugram Apply link : https://careers.united.com/us/en/job/UAIUADUSGGN00002147EXTERNALENUSTALEO/Associate-Analyst-Customer-Insights-Analytics-IKC?utm_source=linkedin&utm_medium=phenom-feeds 👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉 Telegram Channel: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best! 👍👍

𝟰 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Want to break into data science in 2025—without spending a single rupee?💰👨‍💻 You’re in luck! Microsoft is offering powerful, beginner-friendly resources that teach you everything from Python fundamentals to AI and data analytics—for free🤩✔️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/42vCIrb Level up your career in the booming field of data✅️

Zelestra is hiring Junior Data Scientist 🚀 Experience : 0-2 Years Location : Gurugram Apply link : https://careers.zelestra.energy/job/Haryana-Junior-Data-Scientist/1162773055/ 👉 WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉 Telegram Channel: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best! 👍👍

The job search journey can be tough, but every step you take brings you closer to your goal. Customizing resumes and cover letters, practicing coding challenges, and staying on top of industry trends are all part of the path to success. Remember, you only need one "yes" to change everything. There are a lot of amazing people out there looking for that one opportunity. Every application you send, every new connection you make, and all those late nights spent refining your portfolio or building professional relationships are steps toward landing the right job. It can be really exhausting, but every bit of effort gets you closer to your goal. The process can be filled with doubts and uncertainties, but having a structured approach and setting daily goals can help manage it. Joining professional groups, attending webinars, and seeking mentorship are also great ways to gain insights and stay motivated. In the end, all the time and energy you invest—whether it’s perfecting a project, learning a new tool, or reaching out to potential mentors—pays off. So, if you’re looking for a job, keep learning, applying, and networking.

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1: How would you preprocess and tokenize text data from tweets for sentiment analysis? Discuss potential challenges and solutions. - Answer: Preprocessing and tokenizing text data for sentiment analysis involves tasks like lowercasing, removing stop words, and stemming or lemmatization. Handling challenges like handling emojis, slang, and noisy text is crucial. Tools like NLTK or spaCy can assist in these tasks. 2: Explain the collaborative filtering approach in building recommendation systems. How might Twitter use this to enhance user experience? - Answer: Collaborative filtering recommends items based on user preferences and similarities. Techniques include user-based or item-based collaborative filtering and matrix factorization. Twitter could leverage user interactions to recommend tweets, users, or topics. 3: Write a Python or Scala function to count the frequency of hashtags in a given collection of tweets. - Answer (Python):

     def count_hashtags(tweet_collection):
         hashtags_count = {}
         for tweet in tweet_collection:
             hashtags = [word for word in tweet.split() if word.startswith('#')]
             for hashtag in hashtags:
                 hashtags_count[hashtag] = hashtags_count.get(hashtag, 0) + 1
         return hashtags_count
     

4: How does graph analysis contribute to understanding user interactions and content propagation on Twitter? Provide a specific use case. - Answer: Graph analysis on Twitter involves examining user interactions. For instance, identifying influential users or detecting communities based on retweet or mention networks. Algorithms like PageRank or Louvain Modularity can aid in these analyses.

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Data Science Learning Plan Step 1: Mathematics for Data Science (Statistics, Probability, Linear Algebra) Step 2: Python for Data Science (Basics and Libraries) Step 3: Data Manipulation and Analysis (Pandas, NumPy) Step 4: Data Visualization (Matplotlib, Seaborn, Plotly) Step 5: Databases and SQL for Data Retrieval Step 6: Introduction to Machine Learning (Supervised and Unsupervised Learning) Step 7: Data Cleaning and Preprocessing Step 8: Feature Engineering and Selection Step 9: Model Evaluation and Tuning Step 10: Deep Learning (Neural Networks, TensorFlow, Keras) Step 11: Working with Big Data (Hadoop, Spark) Step 12: Building Data Science Projects and Portfolio Data Science Resources 👇👇 https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y Like for more 😄