Advanced Data Scientist
Zebra Technologies Corporation (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 25–42 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, optimize, and maintain scalable ETL pipelines using PySpark and Databricks on Azure/GCP cloud platforms.
- Build, tune, and operationalize ML/AI and optimization models for Retail/CPG business applications like demand forecasting, price elasticity, and inventory allocation.
- Communicate technical model insights and root cause analyses to business stakeholders; manage cloud resource consumption costs effectively.
Minimum Requirements
- Master’s degree in engineering, computer science, data science, operations research, statistics, mathematics, quantitative sciences or equivalent experience.
- 6+ years of professional experience in Data Science/Data Engineering with full lifecycle experience in Data Science-ML/AI projects.
- Proficiency in Python/PySpark, SQL, cloud platforms (AWS, Azure, or GCP), Databricks, and production-grade data and ML/AI pipeline development.
- Experience with Git for code management, orchestration tools like Databricks or Airflow, plus knowledge of Retail/CPG domain challenges is highly desirable.
Ideal Candidate Profile
- Experienced in deploying and optimizing large-scale data engineering and ML pipelines in cloud environments with cost-efficient resource management.
- Strong domain expertise in Retail/CPG Supply Chain, Pricing, Promotions, Inventory, and workforce optimization use cases.
- Able to translate complex technical findings into clear business insights for stakeholders and work independently in fast-paced, innovation-driven settings.