Zebra Technologies Hiring 2025: Explore exciting Data Scientist career opportunities at Zebra Technologies in 2025. Apply now to join a global leader in tech innovation. Competitive salary, growth potential, and excellent benefits await!
🔍 About Zebra Technologies:
Zebra empowers those on the front line in retail, health care, transportation and logistics, manufacturing and other industries to achieve a performance edge — an edge that translates to delighted customers, good patient outcomes and superior business results. As the pioneer at the edge of the enterprise, our products, software, services, analytics and solutions are used to intelligently connect your people, assets and data. With decades of industry experience, we design with front-line users and workplaces in mind, providing the best-action guidance needed to optimize in-motion operations and make business-critical decisions. With over 10,000 partners across 100 countries, we are committed to delivering industry-tailored solutions that help our customers capture their edge.
💼 Job Role: Data Scientist
Location: Bangalore
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📝 Job Description:
- 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)
Skills:
- 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
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📌 Eligibility Criteria
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Qualification: Bachelor’s / Master’s / PhD Degree
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Work Experience: 0 – 2 Years
✅ How to Apply for Zebra Technologies Hiring 2025?
Interested candidates can apply online by clicking the application link below: