[Hiring] Senior Data Scientist @Zebra Technologies

Role Description

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

Qualifications

• Minimum Education: Master’s degree in engineering, computer science, data science, operations research, statistics, mathematics, quantitative sciences or relevant work experience.
• Minimum Work Experience: 4+ years of experience in Data Science/Data Engineering with emphasis on the full lifecycle of Data Science-ML/AI projects.
• Experience in Python/PySpark, SQL, and relational or NoSQL databases, and cloud resource management.
• 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.

Requirements

• Licenses/Certifications: N/A
• Equivalencies: Relevant work experience may be substituted for a degree.

Benefits

• 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.