Data Science Jobs
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Flipkart is hiring Data Scientist

Location : Bangalore

Apply link : https://www.linkedin.com/jobs/view/4387960445/

👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5

All the best 👍👍
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BCG is hiring Research Associate 🚀🔥

Min. Experience : 1 Year
Location : Gurgaon

Apply link : https://careers.bcg.com/global/en/job/56925/Research-Associate
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Qatar Airways is hiring Business Analyst 🚀🔥

Experience : Experienced
Location : Ahmedabad

Apply link : https://careers.qatarairways.com/global/JobDetail/Business-Analyst-Data-Analytics-Ahmedabad-India/1127
Lenovo is hiring Data Analyst 🚀🔥

Location : Bangalore

Apply link : https://jobs.lenovo.com/en_US/careers/JobDetail
PhysicsWallah is hiring Analyst Intern 🚀🔥

Experience : Freshers
Location : Noida

Apply link : https://www.linkedin.com/jobs/view/4404320931/
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Honeywell
Position: Data Scientist I
Qualification: Bachelor’s/ Master’s Degree
Experience: Freshers
Location: Bangalore, India

📌Apply Now: https://icfcjb.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/Aerospace/job/109996?keyword=Data+Scientist+I&mode=location

👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5

All the best 👍👍
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Data Science Interview Prep Guide 📊🧠

Whether you're a fresher or career-switcher, here’s how to prep step-by-step:

1️⃣ Understand the Role
Data scientists solve problems using data. Core responsibilities:
• Data cleaning & analysis
• Building predictive models
• Communicating insights
• Working with business/product teams

2️⃣ Core Skills Needed
✔️ Python (NumPy, Pandas, Matplotlib, Scikit-learn)
✔️ SQL
✔️ Statistics & probability
✔️ Machine Learning basics
✔️ Data storytelling & visualization (Power BI / Tableau / Seaborn)

3️⃣ Key Interview Areas

A. Python & Coding
• Write code to clean and analyze data
• Solve logic problems (e.g., reverse a list, group data by key)
• List vs Dict vs DataFrame usage

B. Statistics & Probability
• Hypothesis testing
• p-values, confidence intervals
• Normal distribution, sampling

C. Machine Learning Concepts
• Supervised vs unsupervised learning
• Overfitting, regularization, cross-validation
• Algorithms: Linear Regression, Decision Trees, KNN, SVM

D. SQL
• Joins, GROUP BY, subqueries
• Window functions
• Data aggregation and filtering

E. Business & Communication
• Explain model results to non-tech stakeholders
• What metrics would you track for [business case]?
• Tell me about a time you used data to influence a decision

4️⃣ Build Your Portfolio
Do projects like:
• E-commerce sales analysis
• Customer churn prediction
• Movie recommendation system
Host on GitHub or Kaggle
Add visual dashboards and insights

5️⃣ Practice Platforms
• LeetCode (SQL, Python)
• HackerRank
• StrataScratch (SQL case studies)
• Kaggle (competitions & notebooks)

💬 Tap ❤️ for more!
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Learn:
ML Fundamentals
Deep Learning
Real-World AI Applications
Hands-On Practice
Live Q&A + Certificate

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💯 No Prior Experience Needed

👉 Register FREE Now:

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