Data Science Jobs

🔗 Harvard study shows AI has effectively become equal to having a second human teammate Two key points from the paper: - In an experiment with 776 professionals at Procter & Gamble, individuals using AI performed about the same as teams without AI - Teams using AI performed much better, often creating the best solutions. they also worked 12–16% faster and gave longer, more detailed answers than those without AI This indicates that AI has begun to match or replace human collaboration

Airtel Machine Learning Engineer https://in.linkedin.com/jobs/view/machine-learning-engineer-at-airtel-4193434706

CGI is hiring Data Engineer https://cgi.njoyn.com/corp/xweb/xweb.asp?NTKN=c&clid=21001&Page=JobDetails&Jobid=J0125-0898&BRID=1197405&lang=1

𝗟𝗲𝗮𝗿𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 & 𝗘𝗹𝗲𝘃𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗚𝗮𝗺𝗲!😍 Want to turn raw data into stunning visual stories?📊 Here are 6 FREE Power BI courses that’ll take you from beginner to pro—without spending a single rupee💰 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4cwsGL2 Enjoy Learning ✅️

I often get asked- what's the BEST Certification for #datascience or #machinelearning? 👉My answer is: none The reality is that certification don't matter for data science. This is not commerce. we are not using the same techniques over and over again to solve well-defined problems. The problems are challenging, the data is messy and numerous techniques are used. So if you've wondering which certification you should get, Save yourself,some mental energy and stop thinking about it- they are not really matter. 👉 Instead, grab a dataset and start playing with it. 👉 Start applying what you know and trying to solve interesting problems, learn something new every day. 👉 Here are few places to grab datasets to get you started Google: https://toolbox.google.com/datasetsearch Kaggle: https://www.kaggle.com/datasets US Government Dataset: www.data.gov Quandl: https://www.quandl.com/ UCI ML repo: http://mlr.cs.umass.edu/ml/datasets.html World Bank🏦: https://data.worldbank.org/

𝟰 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍  These free, Microsoft-backed courses are a game-changer! With these resources, you’ll gain the skills and confidence needed to shine in the data analytics world—all without spending a penny. 𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/4jpmI0I Enroll For FREE & Get Certified🎓

Data Scientist Roadmap | |-- 1. Basic Foundations |   |-- a. Mathematics |   |   |-- i. Linear Algebra |   |   |-- ii. Calculus |   |   |-- iii. Probability |   |   -- iv. Statistics |   | |   |-- b. Programming |   |   |-- i. Python |   |   |   |-- 1. Syntax and Basic Concepts |   |   |   |-- 2. Data Structures |   |   |   |-- 3. Control Structures |   |   |   |-- 4. Functions |   |   |   -- 5. Object-Oriented Programming |   |   | |   |   -- ii. R (optional, based on preference) |   | |   |-- c. Data Manipulation |   |   |-- i. Numpy (Python) |   |   |-- ii. Pandas (Python) |   |   -- iii. Dplyr (R) |   | |   -- d. Data Visualization |       |-- i. Matplotlib (Python) |       |-- ii. Seaborn (Python) |       -- iii. ggplot2 (R) | |-- 2. Data Exploration and Preprocessing |   |-- a. Exploratory Data Analysis (EDA) |   |-- b. Feature Engineering |   |-- c. Data Cleaning |   |-- d. Handling Missing Data |   -- e. Data Scaling and Normalization | |-- 3. Machine Learning |   |-- a. Supervised Learning |   |   |-- i. Regression |   |   |   |-- 1. Linear Regression |   |   |   -- 2. Polynomial Regression |   |   | |   |   -- ii. Classification |   |       |-- 1. Logistic Regression |   |       |-- 2. k-Nearest Neighbors |   |       |-- 3. Support Vector Machines |   |       |-- 4. Decision Trees |   |       -- 5. Random Forest |   | |   |-- b. Unsupervised Learning |   |   |-- i. Clustering |   |   |   |-- 1. K-means |   |   |   |-- 2. DBSCAN |   |   |   -- 3. Hierarchical Clustering |   |   | |   |   -- ii. Dimensionality Reduction |   |       |-- 1. Principal Component Analysis (PCA) |   |       |-- 2. t-Distributed Stochastic Neighbor Embedding (t-SNE) |   |       -- 3. Linear Discriminant Analysis (LDA) |   | |   |-- c. Reinforcement Learning |   |-- d. Model Evaluation and Validation |   |   |-- i. Cross-validation |   |   |-- ii. Hyperparameter Tuning |   |   -- iii. Model Selection |   | |   -- e. ML Libraries and Frameworks |       |-- i. Scikit-learn (Python) |       |-- ii. TensorFlow (Python) |       |-- iii. Keras (Python) |       -- iv. PyTorch (Python) | |-- 4. Deep Learning |   |-- a. Neural Networks |   |   |-- i. Perceptron |   |   -- ii. Multi-Layer Perceptron |   | |   |-- b. Convolutional Neural Networks (CNNs) |   |   |-- i. Image Classification |   |   |-- ii. Object Detection |   |   -- iii. Image Segmentation |   | |   |-- c. Recurrent Neural Networks (RNNs) |   |   |-- i. Sequence-to-Sequence Models |   |   |-- ii. Text Classification |   |   -- iii. Sentiment Analysis |   | |   |-- d. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) |   |   |-- i. Time Series Forecasting |   |   -- ii. Language Modeling |   | |   -- e. Generative Adversarial Networks (GANs) |       |-- i. Image Synthesis |       |-- ii. Style Transfer |       -- iii. Data Augmentation | |-- 5. Big Data Technologies |   |-- a. Hadoop |   |   |-- i. HDFS |   |   -- ii. MapReduce |   | |   |-- b. Spark |   |   |-- i. RDDs |   |   |-- ii. DataFrames |   |   -- iii. MLlib |   | |   -- c. NoSQL Databases |       |-- i. MongoDB |       |-- ii. Cassandra |       |-- iii. HBase |       -- iv. Couchbase | |-- 6. Data Visualization and Reporting |   |-- a. Dashboarding Tools |   |   |-- i. Tableau |   |   |-- ii. Power BI |   |   |-- iii. Dash (Python) |   |   -- iv. Shiny (R) |   | |   |-- b. Storytelling with Data |   -- c. Effective Communication | |-- 7. Domain Knowledge and Soft Skills |   |-- a. Industry-specific Knowledge |   |-- b. Problem-solving |   |-- c. Communication Skills |   |-- d. Time Management |   -- e. Teamwork | -- 8. Staying Updated and Continuous Learning     |-- a. Online Courses     |-- b. Books and Research Papers     |-- c. Blogs and Podcasts     |-- d. Conferences and Workshops     `-- e. Networking and Community Engagement

𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍  Learn AI for FREE with these incredible courses by Google! Whether you’re a beginner or looking to sharpen your skills, these resources will help you stay ahead in the tech game. 𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/3FYbfGR Enroll For FREE & Get Certified🎓

If you're into deep learning, then you know that students usually take one of the two paths: - Computer vision - Natural language processing (NLP) If you're into NLP, here are 5 fundamental concepts you should know: 👇👇 https://t.me/generativeai_gpt/7

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Divami - Design & AI-Led Product Engineering is hiring Software Engineer For 2021, 2022 gards Location: Hyderabad https://www.linkedin.com/jobs/view/4200591954

Tech Talent Hub hiring Data Scientist Location : Dubai, United Arab Emirates https://www.careers-page.com/tech-talent-hub-3/job/L79WWR8X?utm_medium=free_job_board&utm_source=linkedin

Larsen & Toubro hiring: https://www.linkedin.com/jobs/view/4085627286 Data Scientist Role

EY is hiring! Position: Associate - Power BI/ SQL Qualifications: Bachelor's degree Salary: 4 - 10 LPA (Expected) Experience: Freshers/ Experienced Location: PAN India 📌Apply Now: https://careers.ey.com/ey/job/Kochi-Associate-BI-KL-682303/1187886701/

Planet is hiring Machine Learning Engineer (Remote) https://job-boards.greenhouse.io/planetlabs/jobs/6670759

Citi hiring Data Science Engineer https://www.linkedin.com/jobs/view/4162414661

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We are looking to hire AI/ML Engineers. AI/ML Engineer Full-time position with Vivid Edge Corp Bangalore - Onsite (Hybrid) If interested please share profile on my e-mail id : vijay.anand@vivid-edge.com

Meesho is hiring Data Scientist 🚀 Experience : 1-2 Year Location : Bangalore Apply link : https://meesho.io/jobs/data-scientist--i?id=81b0947f-5a1e-4a51-93d5-bd63d954cf75 👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best 👍👍