Description

Remote Work: Hybrid

Overview:

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 a 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 a 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.

• 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 Agentic-AI in the context of Retail/CPG business use cases such as anomaly detection, demand forecasting, price 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

Responsibilities:

• 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):
• 4+ years of experience in Data Science/Data Engineering with emphasis on the full lifecycle of Data Science-ML/AI projects.
• Within that timeframe, experience is expected in: Python/PySpark, SQL, and relational or NoSQL databases, and cloud resource management.
• Key Skills and Competencies:
• Experience working with AWS, Azure, or GCP cloud environments.
• Experience implementing advanced analytics, ML/AI algorithms (such as statistical time series: ESMs, ARIMA; machine learning: Random Forests, GBMs; Neural Networks: TiDE & DenseNet, foundational models) and mathematical (constrained linear/non-linear and network) optimization models
• Proven experience building end-to-end production grade Data & ML/AI pipelines using PySpark, Python (Pandas/NumPy) and SQL.
• Experience working with Git (or similar code management repositories) as a collaboration tool.
• Experience with orchestration tools like Databricks, Airflow (or similar tools like Snowflake, Dagster, etc.).
• Working knowledge of GenAI/LLMs, Agentic-AI and related frameworks (e.g. LangChain) will be a plus
• Understanding of Retail/CPG industry business challenges with an emphasis on Supply Chain, Pricing and Workforce optimization applications is preferred
• Excellent verbal and written communication skills, especially as it relates to technical communications. Ability to present technical analysis to business stakeholders.
• Demonstrated ability to learn new technologies quickly and independently.
• Ability to work independently with minimal supervision and achieve stretch goals in a very innovative and fast-paced environment.
• Licenses/Certifications, special qualifications: N/A
• Equivalencies: Relevant work experience may be substituted for a degree.

Qualifications:
None

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy .