Zebra Technologies is hiring for a fresher entry level Data Scientist role in India

Position:
Data Scientist I

Company:
Zebra Technologies Corporation

Location:
Bangalore, India

Job Type:
Full-time

Job Mode:
Hybrid (approximately 70 percent remote, with occasional visits to the Zebra office)

Job Requisition ID:
110137

Years of Experience:
0–2 years

---

Company Description

• Zebra Technologies Corporation is a global leader known for empowering businesses through innovation and intelligent technology solutions.

• The company focuses on connecting people, data, and assets in smarter ways to create operational efficiency and better decision-making.

• For over five decades, Zebra has developed advanced technologies that support industries such as healthcare, retail, manufacturing, logistics, and transportation.

• Its vision revolves around enabling a more connected, automated, and data-driven future for enterprises across the globe.

• Zebra believes in cultivating a workplace culture that values inclusion, innovation, and continuous growth. Every employee is encouraged to share ideas, take ownership of their work, and contribute toward shaping the future of intelligent operations.

• The organization emphasizes a sense of belonging and respect for diverse backgrounds, experiences, and perspectives.

• Employees are encouraged to learn, lead, and grow within a dynamic environment that combines creativity with cutting-edge technology.

• With a presence across multiple regions, Zebra provides opportunities for personal and professional development while maintaining a strong focus on work-life balance and employee well-being.

• The company’s approach to social responsibility is rooted in sustainable business practices, community engagement, and a commitment to innovation that benefits both customers and society.

• Zebra continues to pioneer advancements in automation, AI, IoT, and data intelligence, helping industries improve productivity and redefine the way work gets done.

---

Profile Overview

• The Data Scientist I role at Zebra is designed for individuals who are passionate about data-driven problem-solving and the application of artificial intelligence to real-world challenges.

• This position involves the design, development, and implementation of machine learning and AI-based systems aimed at generating actionable insights.

• The selected candidate will work with large volumes of structured and unstructured data to develop predictive and optimization models that improve business performance and product development.

• The role requires collaboration across multiple departments including product management, engineering, and business operations to ensure that machine learning solutions align with company objectives.

• This is an opportunity for an early-career professional to work at the intersection of data science, software engineering, and artificial intelligence.

• The position calls for a blend of programming skills, statistical modeling expertise, and creativity in solving complex analytical problems.

• Candidates will gain hands-on exposure to technologies like Python, TensorFlow, PyTorch, and modern MLOps frameworks.

• The individual will participate in both experimental research and production deployment, ensuring that models not only perform well but also integrate smoothly with existing systems.

• The work environment promotes continuous learning, encouraging employees to stay current with new trends in AI, machine learning, and large language models.

• This role suits someone who enjoys analytical thinking, thrives on innovation, and wishes to make a measurable impact through data insights.

---

Responsibilities

• Develop and implement advanced machine learning algorithms tailored to specific business or product needs.

• Integrate modern AI and data workflows to enhance prediction accuracy and model interpretability.

• Design, code, and deploy scalable software programs using frameworks such as TensorFlow, PyTorch, and other ML libraries.

• Build and refine statistical models and AutoML systems capable of handling various data modalities including speech, text, and visual data.

• Work with cross-functional teams to identify suitable problems for AI applications, define model requirements, and design data collection strategies.

• Create end-to-end pipelines for data preprocessing, feature engineering, model training, and deployment using MLOps tools.

• Analyze large, diverse datasets to uncover trends, correlations, and business opportunities.

• Use data visualization and reporting tools to communicate insights and model performance to non-technical stakeholders.

• Collaborate with product managers and business leaders to present analytical findings and translate them into actionable business recommendations.

• Develop rapid prototypes using tools like BI dashboards, data visualization frameworks, and analytics libraries.

• Participate in regular reviews to evaluate the efficacy of deployed machine learning models and identify areas for improvement.

• Stay updated on new advancements in machine learning, AI, and data science, and recommend the adoption of suitable tools and frameworks.

• Work closely with data engineers to improve data capture mechanisms and storage for better model performance.

• Evaluate model performance metrics and ensure reliability and fairness in prediction outcomes.

• Participate in customer discussions to understand use cases, challenges, and business needs for custom AI solutions.

• Apply data engineering and feature transformation techniques to prepare datasets for predictive modeling.

• Engage in experimentation with hyperparameter tuning, model distillation, and fine-tuning for large language models.

• Ensure scalability, reproducibility, and maintainability of machine learning pipelines.

• Follow best practices in code documentation, version control, and software testing.

• Contribute to continuous improvement by exploring new ideas, research papers, and innovations relevant to Zebra’s business domains.

---

Qualifications

• Bachelor’s, Master’s, or Ph.D. in computer science, mathematics, statistics, or a closely related field.

• 0–2 years of experience in machine learning, data analysis, or AI-based software development.

• Proficiency in Python, including libraries such as NumPy, pandas, and scikit-learn.

• Knowledge of PySpark and SQL for data querying and large-scale data manipulation.

• Experience with frameworks like TensorFlow and PyTorch for developing and training deep learning models.

• Understanding of statistical modeling techniques and algorithmic foundations including regression, clustering, and classification.

• Familiarity with MLOps and cloud-based model deployment using platforms like AWS, GCP, or Azure.

• Hands-on experience with containerization tools such as Docker and Kubernetes.

• Ability to handle big data technologies such as Hadoop, Spark, and Cassandra.

• Understanding of feature engineering, data pipeline automation, and hyperparameter optimization.

• Exposure to LLMs and foundational AI model architectures, including techniques for fine-tuning and deployment.

• Experience in data visualization using tools like Power BI, Tableau, or R-based visualization packages.

• Strong communication and presentation skills to explain technical insights to business and executive audiences.

• Curiosity and motivation to learn new technologies and stay current with emerging trends in AI and analytics.

• Work or academic experience in IoT, mobile, or sensor-based data environments is preferred.

• A collaborative attitude with an ability to work in diverse, cross-functional teams.

• Strong work ethic, independence, and accountability for deliverables.

---

Additional Information

• This position allows hybrid work flexibility, with approximately 70 percent of tasks being performed remotely.

• Employees are expected to visit the Zebra office in Bangalore two to three days per week or every alternate week for collaboration and team activities.

• The job involves minimal travel, typically less than 10 percent of total work time.

• The work environment is primarily office-based, with a sedentary workload focused on data modeling, analysis, and coding.

• Safety equipment such as gloves or protective eyewear is not required.

• Zebra promotes a balanced work culture that encourages productivity alongside personal well-being.

• The company offers a competitive salary, comprehensive health benefits, and multiple wellness programs.

• Additional benefits include retirement savings options, employee stock purchase programs, and flexible paid time off.

• Employees also receive access to continuous learning and development programs, including tuition reimbursement and leadership training.

• Zebra emphasizes inclusion and belonging through various employee resource groups that promote diversity and equity.

• Volunteer opportunities and community engagement initiatives allow employees to contribute to meaningful causes.

• The organization has strong ethical hiring practices, ensuring that all official communication is conducted through verified @zebra.com channels.

• Applicants are advised to apply only through the company’s official applicant tracking system to avoid fraudulent postings.

• Zebra fosters a safe and supportive workplace, valuing transparency, integrity, and collaboration.

• The position aligns with Zebra’s global mission to use technology as a tool for empowering industries, improving decision-making, and driving progress.

• This role presents an excellent platform for early-career data scientists to learn, grow, and contribute to impactful AI-driven innovation.

Please click here to apply.