Apply for Zebra Off Campus Drive 2025! Hiring Data Scientist Job in Bangalore for BE/BTech/ME/MTech/PhD 0-2 years to design, develop, and implement ML/AI solutions on structured and unstructured big data. Work on TensorFlow, PyTorch, LLMs, Azure, Python, Spark, Airflow while solving real-world business problems with actionable insights.
Candidates who are interested in Zebra Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Data Scientist jobs
Company: Zebra
Qualifications: BE/BTech/ME/MTech/PhD
Experience Needed: 0-2 years
Job Req ID: 109520
Location: Bangalore
Start Date: 28th July 2025
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Job Description
A Data scientiest will be responsible for Designs, develops, programs and implements Machine Learning solutions , Implements Artificial/Augmented Intelligence systems/Agentic Workflows/Data Engineer Workflows, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse “big data” sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements.
Responsibilities:
Integrates state-of-the-art machine learning algorithms as well as the development of new methods
Develops tools to support analysis and visualization of large datasets
Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data, LLM), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms
Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers
Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders
Analyze, review and track trends and tools in Data Science, Machine Learning, Artificial Intelligence and IoT space
Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering
Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction
Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models
Working knowledge of MLOps, LLMs and Agentic AI/Workflows
Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch
LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs
Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation.
Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow.
Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes.Designs and implementation predictive and optimisation models incorporating diverse data types
strong SQL, Azure Data Factory (ADF)
Qualifications:
Bachelors degree, Masters or PhD in statistics, mathematics, computer science or related discipline preferred
0-2 years
Statistics modeling and algorithms
Machine Learning experience including deep learning and neural networks, genetics algorithm etc
Working knowledge with big data – Hadoop, Cassandra, Spark R. Hands on experience preferred
Data Mining
Data Visualization and visualization analysis tools including R
Work/project experience in sensors, IoT, mobile industry highly preferred
Excellent written and verbal communication
Comfortable presenting to Sr Management and CxO level executives
Self-motivated and self-starting with high degree of work ethic
Apply Now for Zebra Data Scientist Jobs
How to Apply Zebra Off Campus Drive 2025
Click on Apply to Official Link Zebra Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
Technical Questions
- Explain your experience with TensorFlow, PyTorch, or other ML frameworks.
- How do you approach feature engineering on unstructured big data?
- What are LLMs? Have you fine-tuned or deployed any?
- Explain your approach to data pipeline automation using Airflow or Kubeflow.
- What is the difference between model fine-tuning and hyperparameter optimization?
Scenario/Problem-Solving
- How would you handle missing data in a large IoT dataset?
- How would you architect a pipeline for a predictive maintenance ML model for IoT devices?
- Describe a project where you deployed an ML model into production.
Behavioral
- Why are you interested in Data Science at Zebra?
- How do you keep yourself updated with emerging ML trends?
- Share a time when you faced a challenge while collaborating with cross-functional teams.