Not specified; not specified; benefits include hyb...
Hybrid
Pyspark and databricks experience
Cloud resource management on azure or gcp
End-to-end production ml pipeline development
Zebra Technologies is seeking a Senior Data Scientist to design, optimize, and maintain scalable ETL pipelines using modern cloud platforms like Azure or GCP. The ideal candidate will have extensive experience in data science and engineering, particularly in building production-grade ML/AI pipelines, and will thrive in a collaborative, innovative environment
Job Summary
The role involves designing and maintaining scalable ETL pipelines using PySpark and Databricks on cloud platforms to solve customer challenges.
Candidates will collaborate with cross-functional teams to build and tune ML/AI models for complex retail use cases like demand forecasting and price elasticity.
Zebra Technologies offers a flexible work environment including hybrid options, adaptable hours, and specific well-being days to promote work-life balance.
Matching Summary
Match Score: 85
Zebra Technologies is seeking a Senior Data Scientist to design, optimize, and maintain scalable ETL pipelines using modern cloud platforms like Azure or GCP. The ideal candidate will have extensive experience in data science and engineering, particularly in building production-grade ML/AI pipelines, and will thrive in a collaborative, innovative environment.
Salary
Not specified; Not specified; Benefits include hybrid work and well-being days
Skills & Requirements
Must-have
PySpark and Databricks experience
Cloud resource management on Azure or GCP
End-to-end production ML pipeline development
Python, SQL, and relational database skills
Git code management and best practices
Nice-to-have
GenAI and LLM framework knowledge
Retail and CPG industry domain expertise
Strong stakeholder communication skills
Experience with Agentic-AI frameworks
Independent work in fast-paced environments
Key Requirements
Master's degree in relevant quantitative field or equivalent experience
4+ years of experience in Data Science and Data Engineering
Proven track record in full lifecycle ML/AI projects