Overview:
At Zebra, we are a community of innovators who come together to create current ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.

Come make an impact every day at Zebra.

What We're Looking For:
Design, optimize, and maintain scalable ETL pipelines using PySpark, and Databricks on cloud platforms (Azure/GCP).

Develop automated data validation process to proactively perform data quality checks.

Employ key Databricks modules (DeltaLake, Unity Catalog, MLFlow)



to facilitate creating and scheduling jobs on Databricks.

Optimize the allocation of cloud resources to manage and control cloud cost.

Employ GitHub code management repositories and ensure that best practices are being implemented.

Build and tune ML/AI and optimization models, identify improvement opportunities, and perform experiments to demonstrate incremental value.

Have frequent conversations with Business Stakeholders to understand their requirements and concerns. Explain data deficiencies, model performance/root cause analysis, and model explainability.

Follow best practices in Data Architecture, Coding, and Project Management operations.

Collaborate with cross-functional teams, such as Customers’ Stakeholders, Engagement Managers, Data Ops/Job Monitoring, Product Management & Software Engineering.

Expand the use of analytics, ML/AI, mathematical optimization, Gen-AI/LLMs and Agenti

📌 Data Scientist (Pune)
🏢 Antuit India
📍 Pune