Kickstart your AI career with Zebra as a Data Scientist I in Bangalore. Hybrid job, ₹12–28 LPA salary, global projects, and perks await. Apply now!
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🏢 Why Join Zebra?
Zebra Technologies is a global leader in edge computing and intelligent automation. Known for driving innovation in data analytics, machine learning, and IoT, Zebra empowers businesses to achieve visibility and insights in real time. Their mission is to shape the future of work by building smarter, data-driven solutions for industries worldwide.
With offices in 45+ countries and a strong footprint in India, Zebra fosters diversity, collaboration, and continuous learning. Employees get exposure to global clients, next-gen tools, and flexible hybrid work culture.
📝 Job Summary
The Data Scientist I at Zebra in Bangalore plays a vital role in developing ML models, building AI-powered workflows, and generating business insights from diverse data. This hybrid position offers the opportunity to work on advanced LLMs and cloud-based AI systems in a globally distributed team.
🔧 Key Responsibilities: Data Scientist I Zebra Bangalore 🔧
- 🤖 Design & develop AI/ML models using Python, TensorFlow, or PyTorch
- 📈 Build tools for visualizing and analyzing large-scale datasets
- 🔍 Train & fine-tune Large Language Models (LLMs)
- 🛠️ Construct and automate data pipelines with Airflow/Kubeflow
- 🧠 Apply statistical modeling on structured and unstructured data
- 🌐 Collaborate with cross-functional teams to define data strategy
- 💬 Present insights and foresights to business and product teams
- 📚 Stay updated with trends in AI, IoT, and ML technologies
- 🔄 Optimize data collection systems to improve prediction accuracy
- ✍️ Create documentation, reports, and model evaluation metrics
✅ Who Can Apply?
- 🎓 Qualifications: Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or related fields
- 💼 Experience: 0–2 years (Freshers welcome)
- 💻 Essential Skills:
- Python, TensorFlow, PyTorch
- LLM training & deployment
- SQL, Azure Data Factory, Spark
- Data visualization (R/BI Tools)
- AI model tuning, data pipelines, MLOps
- 🧪 Preferred: Experience in IoT, sensor data, mobile industries
💸 Top HR Graduate Trainee Job – Technip Energies Hiring 2025
🌍 Work Location & Type
📍 Location: Bangalore, India
🏠 Work Type: Hybrid (Approx. 70% remote, 2–3 days onsite)
💰 Salary Insights: Data Scientist I Zebra Bangalore
- 💸 According to market data, the average salary for a Data Scientist I at Zebra in Bangalore is ₹12.2 LPA, with top performers earning up to ₹28 LPA
- 💼 Based on industry benchmarks for 0–2 years experience, expected range is ₹8–16 LPA, plus bonuses
- 💰 Performance-based pay and equity opportunities available
🎁 Perks & Benefits at Zebra
- 🏥 Medical, dental, and vision insurance
- 🧘 Wellness programs and mental health support
- 💻 Remote work flexibility with hybrid scheduling
- 💸 Annual performance bonuses & employee stock purchase
- 🎓 Learning programs with tuition reimbursement
- 🏖 Paid time off, parental leave, and volunteer days
- 🌍 Global exposure with a diverse, inclusive culture
📝📢 How to Apply for Zebra Recruitment 2025?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section
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❓ FAQs – Data Scientist I Zebra Bangalore
Q1. What’s the selection process like?
A: Usually includes online assessment, technical interview, and a final HR round.
Q2. Is this a remote job?
A: It’s a hybrid role – approx. 70% remote and 2–3 days in-office.
Q3. What tools are essential for this job?
A: Python, TensorFlow, SQL, Azure ADF, Airflow/Kubeflow, and LLM experience.
Q4. Is experience in LLMs necessary?
A: Yes, hands-on experience with LLMs and foundational models is highly preferred.
Q5. When is the last date to apply?
A: Not mentioned. Apply early – roles may close without notice.
