Advanced Data Scientist

At Zebra, we are a community of innovators who come together to create new 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.

The Data Scientist Sr will have experience working across the full lifecycle of a Data Science project. The ideal candidate will demonstrate proficiency in the design, building, and optimization of data ingestion and data transformation pipelines; the design, enhancement and tuning of ML/AI models, the operationalization of resultant models; and communicating root cause analysis and model explainability to business stakeholders. The role will entail interfacing with various source systems, and proficiency in PySpark, SQL, Databricks, and related cloud resource management services. Prior experience with advanced analytics, ML/AI, and optimization solutions in the Retail/CPG domain is strongly preferred. A working knowledge of GenAI/LLMs and Agentic-AI in the context of workflow automation will be valuable but is not the primary requirement for this position.

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   ( DeltaL iveTables , Unity Catalog,   MLFlow )   to   facilitate   creating ,   running experiments,   automating ,   and scheduling jobs on Databricks.   Optim ize   the   allocation of cloud resources   and Databricks DBUs   to   manage and control   cloud   and Databricks consumption   cost.   Employ   GitHub   repositories   to   ensure that   production code management   best practices are being   strictly adhered to .   Build and tune   ML/AI and optimization   model s ,   identify   algorithmic performance   improvement opportunities, and perform experiments to   demonstrate   incremental   value   delivered .   Have   frequent conversations with   Business   Stakeholders to   understand their   requirements   and   concerns. E xplain   data deficiencies,   model performance/root cause analysis , and   model output .   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 Agentic-AI in the context of Retail/CPG   business   use cases   such as   anomaly detection,   demand forecasting, pric e elasticity modeling,   promotions   features & strategy simulation, product   cannibalization and halo modeling , markdown   optimization ,   product allocation, reorder/replenishment,   size and pack optimization,   workforce scheduling & task optimization     Qualifications   Job Requirements:   Minimum Education:     Master’s   degree in   engineering,   computer science, data science, operations research, statistics, mathematics , quantitative   sciences   or relevant work experience   Minimum Work Experience (years):     6 + years of experience   in Data Science/Data