If you are aiming for a high-paying tech career in 2026, this Data Scientist role at Google in Bengaluru is one of the best opportunities for fresh graduates and postgraduates. This role is perfect for candidates with strong analytical skills, statistics knowledge, and experience in Python or R.
📌 Job Overview
| Field | Details |
|---|---|
| Company Name | |
| Job Role | Data Scientist |
| Location | Bengaluru |
| Batch | 2026 Graduates |
| Qualification | Master’s Degree / PhD |
| Experience | Freshers + Internship Experience |
| Salary | High Package (₹20+ LPA Expected) |
| Job Type | Full-Time |
🎓 Eligibility Criteria (Minimum Qualifications)
To apply for this Google Data Scientist Job 2026, candidates must have:
- Master’s degree in:
- Statistics
- Biostatistics
- Operations Research
- Physics
- Economics
- Applied Mathematics
- OR equivalent practical experience
- Strong knowledge of statistical tools like:
- Python
- R
- SAS / S-Plus
- Internship or work experience with data
- Understanding of:
- Statistical methodologies
- Causal inference
⭐ Preferred Qualifications
Candidates with the following will have an advantage:
- PhD in quantitative fields
- Experience in:
- Machine Learning on large datasets
- Linear & multivariate models
- Sampling & stochastic models
- Strong problem-solving skills
- Ability to:
- Draw insights from data
- Recommend business decisions
- Learn advanced concepts like differential privacy
💼 Roles & Responsibilities
As a Data Scientist at Google, you will:
- Work on large-scale complex datasets
- Perform:
- Data collection
- Processing
- Analysis & reporting
- Build models for:
- Forecasting
- Experiment analysis
- Business optimization
- Collaborate with:
- Engineers
- Product Managers
- Marketing teams
- Improve Google products like:
- Search
- Ads
- User experience
🚀 Key Skills Required
- Python / R Programming
- Machine Learning
- Data Analysis & Visualization
- Statistics & Probability
- Problem Solving
- Communication & Presentation Skills
🧠 Why Join Google?
Working at Google offers:
- 💰 High salary packages
- 🌍 Global exposure
- 🧪 Work on real-world big data problems
- 📈 Career growth in AI & Data Science
- 🤝 Collaboration with top engineers & researchers
